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Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company’s Most Innovative Companies in 2019, 2022, 2023, 2026, and twice named to TIME’s “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in the extra effort — not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier — this isn’t it. The Role We’re looking for a Clinical Data Engineer who will own the end-to-end data pipelines for our clinical studies, including regulatory trials. You will create monitoring tools for tracking live data out in the field that can alert the research associates to any issues, work closely with ML/AI to ensure that incoming data are stored in formats that are easily ingestible and clearly labeled, and work to align datasets with multiple incoming sources of data for analysis by our team. Additionally, you will own the data analysis for our hardware validation studies (heart rate, heart rate variability, and presence), helping to make key go/no-go decisions for the company. You’ll be the connective tissue between our internal teams and the external clinical sites, and can continuously think outside the box to make our studies more efficient for the research associates and data scientists. You will operate at the intersection of data engineering, applied data science, and clinical research by working directly with raw sensor data from all of our products, along with the ground truth data to validate our algorithms to make key product decisions. You will own the end-to-end data lifecycle, from ingestion to analysis to communication. This role is highly cross-functional with hardware, software, product, and research teams. How You'll Contribute Data Engineering & Infrastructure Build and maintain scalable ETL pipelines using Python, SQL, and APIs to ingest and process large-scale biometric and sensor data Design data models and workflows that support clinical studies, internal tools, and downstream analytics Manage data storage, retrieval, and archival systems in AWS, including handling long-term access and data restore workflows Ensure data integrity, reproducibility, and proper versioning across evolving datasets and analyses Leverage AI-assisted tools to accelerate data analysis, debugging, and code development, improving iteration speed and reducing manual effort Clinical Analytics & Algorithm Validation Analyze sleep, physiological, and behavioral datasets to evaluate product performance and validate new features Perform statistical analyses (e.g., correlation, error metrics, bootstrapping, validation frameworks) to assess algorithm accuracy and clinical outcomes Develop evaluation pipelines for metrics like HR/HRV accuracy, presence detection, and sleep staging Build tools and structured datasets to support training and validation of machine learning models, integrating multiple data sources for supervised learning Investigate edge cases, sensor issues, and data anomalies to improve model robustness Internal Tooling & Visualization Maintain and extend Python-based applications for visualizing and annotating biometric data Develop interactive tools for researchers and engineers to inspect sessions, validate signals, and debug algorithms Streamline workflows for clinical teams to reduce manual effort and improve reproducibility Cross-Functional Collaboration & Communication Partner with Machine Learning, Hardware, Firmware, and Product teams to build algorithms and test prototypes Work with Growth and Product teams to explore user behavior and inform feature development Synthesize findings into reports, dashboards, and presentations for internal teams and external audiences Contribute to abstracts, posters, and conference presentations; communicate uncertainty, methodology, and tradeoffs clearly to guide decision-making What You’ll Need to Succeed 2+ years of data engineering experience with health/physiology data in a research context — you’ve built ETL pipelines around messy, real-world biometric or sensor datasets, not just clean CSVs Advanced Python and SQL proficiency — Pandas, NumPy, time-series analysis, and production-quality scripting are daily tools, not occasional ones Intermediate-to-advanced signal processing and biometric data experience — you’ve worked directly with heart rate, HRV, sleep staging, or similar physiological signals from wearable or embedded sensors Intermediate-to-advanced statistical modeling and validation skills — you can design and execute correlation analyses, error metrics, bootstrapping, and validation frameworks independently Working proficiency with AWS and Snowflake — you’ve built or maintained cloud-based data storage, retrieval, and archival systems, not just queried them Bonus Points Experience with clinical or regulatory trial data, familiarity with GCP/ICH guidelines, or prior work supporting FDA submissions Background in ML model validation or building structured training datasets for supervised learning Fluency with AI-assisted development tools (Claude, Cursor, ChatGPT, Copilot) as part of your daily workflow Domain knowledge in sleep science, biometrics, or wearable/embedded sensor data Experience integrating internal and third-party APIs into unified data pipelines Strong cross-functional communication skills — ability to translate complex analyses into clear insights for non-technical stakeholders Compensation Target Base Salary: $110,000 – $130,000 Compensation is based on experience, qualifications, and market benchmarks for the Boston metro area. Equity and performance-based incentives are a significant component of total compensation at Eight Sleep. Why Join Eight Sleep? Innovation in a Culture of Excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate Responsibility and Accelerated Career Growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with Exceptional Talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable Compensation and Continuous Equity Investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you — perfectly aligning your achievements with the broader triumphs of the company. Your Own Pod - and Other Great Benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. As the Senior Engineering Manager, you are a strong technical leader and an exceptional people manager who deeply cares about your team and the success of those around you. You bring energy and curiosity to your work, quickly learning and applying new insights to drive both technical excellence and team growth. With a servant-leadership approach, you wake up every day focused on improving the experiences of your team and the organization. You excel as a collaborator, are an impeccable communicator, and inspire confidence by combining technical vision with thoughtful, people-first leadership. What You'll Be Working On • As a Senior Engineering Manager you may be expected to code, however, you will still be reviewing code and ensuring our engineers are making good design decisions., • Drive and review technical designs, ensuring solutions are scalable, reliable, secure, and aligned with long-term platform goals., • Lead a constantly improving agile engineering process. You must have a strong sense of ownership for your deliverables and milestones., • Help product feature teams to accelerate product feature development by building capabilities that simplify OneStudyTeam architecture and by reducing technical debt., • Ensure the team delivers consistently and predictably through effective planning, prioritization, and stakeholder communication., • Manage, mentor, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement., • Recruit and hire engineers consistent with organizational values., • Manage an engineering team of up to 5 engineers., • Experience with our stack is not required. We use: ReactJS, Javascript, Typescript, Clojure, AWS, Postgres, Kafka, Terraform, Kubernetes, Docker and Git. What You'll Bring to OneStudyTeam, • Engineering management experience with a strong record of shipping product features with Agile processes on or ahead of schedule., • Passionate about improving developer experience and developer velocity., • Experience with the strengths (and pitfalls) of using LLMs to build software., • Experience working remotely. The engineering team is a distributed one with remote-first processes., • Extensive experience leading engineering teams and driving complex technical initiatives, with a track record of making high-impact architectural and design decisions., • As a former engineer, you can hold your own in technical conversations., • Analytical thinker who can navigate ambiguity, break down complex problems, and guide the team toward practical, effective solutions., • Experience or strong interest in healthcare products. The expected pay range for this role is $170,000 - $220,000 USD per year for full time team members. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com About the role We are seeking a highly skilled Staff Software QA Engineer to provide quality test for complex Windows-based software systems. This role owns test strategy and drives validation across the software lifecycle, partnering closely with engineering and product teams to prevent defects, improve reliability, and accelerate delivery. The ideal candidate brings deep experience in test for C#/.NET applications, strong troubleshooting skills across multi-process/inter-process communication (IPC) architectures, and the ability to mentor engineers and champion best practices in quality engineering. If you’re passionate about software engineering and want to be part of a team that is shaping the future of life sciences, we’d love to hear from you, apply today! What you’ll do • Own and evolve the overall test strategy for Windows-based products, including test planning and coverage goals., • Define, implement, and monitor quality metrics (defect trends, coverage) and drive continuous improvement actions., • Partner with Product and Engineering to translate requirements into testable acceptance criteria and robust validation plans., • Lead deep-dive investigations of complex issues (logs) and provide clear root-cause analysis in partnership with developers., • Drive release qualification: test execution coordination, go/no-go recommendations, and stakeholder communication., • Evaluate and introduce tools/technologies to improve CI quality signals (test reporting, parallelization, environment provisioning, static analysis). What we are looking for in you • Extensive experience testing large-scale or mission-critical Windows applications, including defining validation strategies., • Experience with CI/CD and test execution in the instruments., • Solid understanding of multi-process architectures and IPC mechanisms, with the ability to validate concurrency, timing, and reliability edge cases., • Excellent analytical, debugging, and communication skills; able to influence without authority and drive alignment on quality., • Automation test experience is preferred., • Bachelor’s or Master’s degree of Computer Science, Engineering, or related field., • 10+ years of hands-on experience in software quality engineering for Windows applications. Physical Requirements for this role include: • The ability to work on a laptop or desktop computer for prolonged periods of time., • The ability to lift at least 15 lb., • The full list of physical requirements for this role is available upon request. Why work for Nova Biomedical • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: Hybrid work schedule on-site in Waltham, MA Targeted Salary Range: $140,000 - $165,000/year. Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job Description Who is BlueRock? BlueRock Therapeutics, a wholly-owned and independently operated subsidiary of Bayer AG, is a leading engineered cell therapy company using its unique CELL+GENE™ platform to direct cellular differentiation and genetically engineer cells to create a new generation of cellular medicines that address large patient populations suffering from neurological, cardiovascular, and immunology diseases. The convergence of cell biology and genetic engineering is creating fundamental new ways to impact disease. Founded in 2016 to capitalize on these technological breakthroughs, we are advancing our novel CELL+GENE™ platform to develop, manufacture, and deliver an entirely new generation of authentic and engineered cell therapies across three therapeutic areas: neurology, cardiology, and immunology. What Are We Doing? Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit. We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options. We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients’ lives. Description of Position: It continues to be an exciting time for BlueRock Therapeutics as the company advances cutting edge cellular therapies to positively impact patients’ lives across multiple disease areas. The Director of Imaging and Biomarkers, Translational Medicine, will be expected to take on a highly visible role with internal and external stakeholders through the management of the imaging protocols and biomarkers leveraged in BlueRock’s clinical development programs. The Director of Imaging and Biomarkers will leverage their expertise in CNS, ophthalmic and inflammation imaging to advance the company’s development pipeline by working closely with program leads and other subject matter experts. The position will be based in Cambridge, Massachusetts. Responsibilities As a critical member of the Translational Medicine team, the Director of Translational Medicine (Imaging) will leverage their expertise in CNS to: • Develop translational strategies designed to support clinical development plans, the regulatory path, and product commercialization., • Lead the development and implementation of translational imaging strategies in support of clinical proof-of-mechanism, patient stratification, dose selection., • Serve as the neuroimaging lead on cross-functional program teams., • Partner with Research to discover and characterize novel imaging biomarkers in preclinical studies., • Develop imaging methods and analytically validate imaging tools for clinical use., • Implement clinical biomarkers and ensure biomarker-driven decision-making across all phases of drug development., • Lead cross-functional imaging governance (e.g., Imaging Steering Committee) advancing the use of imaging biomarkers to enable demonstration of disease-modifying effects., • Deliver subject matter expertise with respect to clinically advanced techniques in MRI, PET, SPECT, HRCT and other modalities as needed., • Oversee CRO vendor/partners ensuring that they optimally execute clinical and preclinical imaging projects in the US, Canada, and other regions of interest., • Provide support for the Business Development organizations as needed on diligence efforts.Minimum Requirements, • PhD, MD, PharmD, or equivalent degree in Neuroscience, Biomedical Imaging, Radiology, or related discipline., • 6+ years of industry experience in translational medicine, imaging sciences, or clinical development, • Deep expertise in clinical and translational neuroimaging, including MRI and PET methodologies, • Must have direct experience managing imaging protocols in the conduct of clinical trials (endpoints, inter-site harmonization, imaging core lab oversight, etc.)., • Specific experience with imaging endpoints for early-stage clinical development in CNS, ophthalmic and inflammatory diseases is desired. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description POSITION SUMMARY: We are seeking a Staff Machine Learning Scientist – Translational AI to provide technical leadership at the intersection of deep learning foundation models, computational biology, and molecular diagnostics. This ownership role drives the architecture and validation of genomic, transcriptomic, and multimodal sequence models to accelerate patient stratification, target identification, and therapeutic monitoring across our cell-free DNA (cfDNA) and multi-omic platforms. This Staff-level position operates with broad technical autonomy, driving modeling strategy across multiple concurrent portfolios while maintaining direct execution responsibilities in model compilation, scaling, and testing. Working within a builder framework, you will align across AI Research, Bioinformatics, and Clinical Science divisions to transition advanced representation learning models into reproducible, clinically valid diagnostic assets. PRIMARY RESPONSIBILITIES: Scientific Leadership in Translational AI • Serve as the principal technical authority on the deployment of molecular, genomic, and pathology foundation models applied to oncology and translational medicine questions, • Engineer rigorous alignment and post-training workflows that ground pre-trained foundation models in empirical clinical trial and molecular diagnostic data, eliminating speculative modeling assumptions, • Formulate objective peer-review frameworks and deliver technical feedback to elevate the modeling code, experimental standards, and scientific designs of the broader AI research group Foundation Models to Biological and Clinical Translation • Lead the post-training, parameter-efficient fine-tuning (PEFT), and evaluation of deep sequence, multimodal, and representation learning models for biomarker discovery, molecular recurrence monitoring, and therapeutic response forecasting, • Design robust fine-tuning, probing, and latent space representation analysis workflows that extract interpretable, biologically grounded patterns from high-dimensional transformer architectures, • Validate model outputs against multi-omic benchmarks and real-world outcomes, ensuring model predictions deliver the exact deterministic accuracy required for patient tracking and clinical interventions Modeling, Experimentation, and Evaluation • Build, train, and optimize advanced machine learning models utilizing next-generation sequencing (NGS), ctDNA assays, digital pathology imaging, and longitudinal clinical metadata, • Design rigorous clinical investigation and evaluation frameworks that connect model performance metrics (e.g., loss curves, precision-recall) directly to translational utility and real-world distribution shifts, • Systematically identify algorithmic failure modes, sources of dataset bias, and covariate shift, implementing robust mitigation strategies suitable for regulated, clinical-facing pipelines Cross-Functional Collaboration and Influence • Partner with Computational Biology, Translational Science, and Medical Affairs teams to translate complex clinical requirements into clear, quantitative machine learning problem statements, • Act as a systems-level technical bridge between AI Research and ML Engineering teams to ensure that validation models convert seamlessly into scalable, reproducible production workflows, • Provide technical leadership and data execution support for strategic external collaborations, pharmaceutical partnerships, and foundation model research consortiums Scientific Communication and External Presence • Translate complex multimodal model architectures and performance metrics into transparent, high-integrity data packages for clinical governance, leadership updates, and external collaborators, • Lead the authoring of technical manuscripts for peer-reviewed machine learning venues (e.g., NeurIPS, ICML, ICLR) and major computational biology journals, • Act as a technical representative for the company's translational AI capabilities at international medical, oncology, and machine learning conferences QUALIFICATIONS: • PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a highly quantitative structural field, • 5+ years of industry or post-doctoral experience applying deep learning frameworks to complex biological, genomic, or clinical datasets, with a documented focus on oncology or immunology portfolios, • Deep technical competency with transformer architectures, representation learning, self-supervised learning (SSL), or deep sequence modeling, • Proven track record of translating machine learning outputs into verifiable biological variables or clinical performance indicators, rather than optimizing solely for isolated cross-validation metrics, • Expert proficiency in PyTorch and modern machine learning infrastructure (e.g., HuggingFace ecosystem, PEFT, Captum, MLflow, and distributed GPU computing setups), • Documented technical leadership through end-to-end project ownership, architectural design authority, or cross-functional team direction Preferred Qualifications: • Experience constructing or fine-tuning multimodal foundation models that combine high-depth genomic sequencing data with digital pathology images or longitudinal electronic health records (EHR), • Direct experience handling clinical trial datasets, real-world data (RWD/RWE), or developing models within health-authority/regulatory-facing frameworks, • Strong record of publications as primary author in high-impact machine learning venues KNOWLEDGE, SKILLS, AND ABILITIES: • Advanced mathematical and algorithmic fluency across deep learning methodologies, optimization strategies, and probabilistic modeling, • Fast learner with the capability to master complex cfDNA platforms, biochemistry workflows, and multi-omic data generation pipelines rapidly, • Precise written and verbal communication styles with strict attention to algorithmic detail and statistical validation boundaries, • Proven capability to drive independent portfolios while executing cross-functional objectives within matrixed technology and scientific teams, • High-growth builder mindset with the capability to balance scientific rigor, operational execution speed, and computational resource constraints under tight timelines, • Utilize cloud-based productivity and high-performance computing infrastructure to maintain high operational momentum in a fast-evolving artificial intelligence environment The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$163,200—$220,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com About the role As the Consumable Manufacturing Engineer, you will provide technical floor support to the reagent, sensor, and tubing manufacturing operations to ensure on-time shipments of high quality products at an acceptable cost. You will work on process/product improvements and transfer of new products/processes into the manufacturing operations. You will also contribute to the investigation of technical issues with in-process or field returned product to ensure continuous improvement. If you’re passionate about manufacturing operations and want to be part of a team that is shaping the future of life sciences, we’d love to hear from you, apply today! What you’ll do • Provide day-to-day technical floor support to consumable operations by investigating and resolving issues which arise during the manufacturing/processing of products., • Test consumables (Sensors, Tubing, Calibrators and Controls) for functionality on analyzers and/or various production test platforms., • Measure/inspect components for form, fit, and function and disposition nonconforming product., • Write MVs to document variances and circulate them for signatures., • Update/create all forms of manufacturing documentation (AP, TP, OI, OP, Drawings and Artwork) which conform to Quality System Regulations (QSR’s) and ISO standards., • Write and/or execute Installation Qualifications (IQ), Operational Qualifications (OQ), Performance Qualifications (PQ), Validations, Design of Experiment (DOE), Process Failure Mode Effects Analysis (PFMEA), Process Validation Master Plans and Continuous Improvement Studies/Evaluations., • Research, specify, and procure new equipment for existing or new processes/assemblies. Design and construct tooling/fixtures for processes or modify existing production equipment as needed., • Assist with the transfer of new products to manufacturing. Collaborate with R&D and other manufacturing engineers to develop methods/processes to scale production. Train assemblers and operators regarding new processes and assemblies., • Contribute to continuous improvement programs to reduce cost and cycle times of products. Examine and implement lean manufacturing techniques. What we are looking for in you • 5+ years of experience in manufacturing or process engineering, • Proficiency in SolidWorks, Minitab, SAP, MasterControl, and Microsoft Office, • Strong Solidworks foundation with the ability to design complex fixtures, • Strong knowledge of Lean manufacturing and continuous improvement methodologies, • Experience with statistical analysis and process validation techniques, • Strong interpersonal and communication skills, • Time and risk management skills, • FDA QSR’s and ISO regulations knowledge Physical Requirements for this role include: • Must be able to perform tasks that may involve extended periods of time standing, sitting, pushing, pulling, lifting, bending, kneeling, reaching, twisting, turning, climbing steps and carrying up to 25 pounds several times/hours a shift., • Require repetitive use of arms/wrist/hands while setting up/working with equipment/computer throughout the shift., • Will require use of Personal Protective Equipment (PPE) and may include, but not limited to, safety glasses, safety shoes, lab coat, bouffant, gloves, hearing protection, face shield, nuisance mask., • The full list of physical requirements for this role is available upon request. Why work for Nova Biomedical • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: Hybrid work schedule on-site in Waltham Targeted Salary Range: $110,000 - $115,000/year. Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job Description BioView is seeking a highly professional customer focused Field Service Engineer to join our Support & Training team. The successful candidate will live in the Boston, MA area and serve as a support and training engineer for our clients in the Americas. He/She will provide our new and existing customers comprehensive training of the BioView imaging products line. He/She will be responsible for providing prompt support to our users, while achieving the highest possible level of customer satisfaction. He/She will maintain a high level of technical expertise in all aspects of the BioView products, including the biological, computerized and optical features of our products. Essential Duties and Responsibilities · Installation of BioView systems at customers sites · Training of new users to successfully operate the BioView systems & software · Demonstrating BioView systems and applications · Provide remote and on-site support to BioView customers by installing, fine-tuning, and maintaining BioView systems and applications. • The position requires diagnosing and resolving mechanical, hardware, software, and system failures, • You will document all activities, contribute to quality improvement, and focus on maximizing customer satisfaction, • Frequent travel required, 60-70% of the time, mostly within the US & Canada, but may be to other regions on the globe Requirements • Bachelor’s degree or equivalent in life science, biomed, or a technical field, • Familiarity with Microscopy, Cytogenetics, Fluorescence In-situ Hybridization (FISH), Cell Morphology, and Immunostaining analysis is an advantage., • Excellent communication (verbal and written) and interpersonal skills., • Problem solver with good technical aptitude and troubleshooting skills, • Computer and network knowledge is a plus, • Ability to understand computer algorithms and to tune parameters., • Outstanding ability to explain, demonstrate and present new biological and technical concepts to new users Other requirements • Handle stress effectively, • Willingness to work outside of normal working hours and in rare cases on weekends, • Valid Passport, • Valid driver license Company DescriptionOur Mission is to improve cancer patient’s assessments and outcomes. BioView develops, manufactures, and markets innovative Automated cell imaging and analysis platforms for use in cytology, cytogenetics and pathology at clinical and research laboratories who wish to digitize and streamline their analysis workflow. BioView’s industry-leading platforms offer advanced capabilities for Fluorescent and Bright-field based applications driven by Artificial intelligence. Starting from automated FISH Analysis of tissue and cells suspension for cancer and genetic abnormalities, to automated whole slide imaging for digital pathology and quantitative IHC scoring application for nuclear & membrane staining. Bringing liquid Biopsy to the clinical Practice We are a world leader in providing solutions for Circulating tumor cells detection, enumeration and characterization. Our all-in-one DeNovo system, offers high levels of speed, standardization and sensitivity. It is easy to operate, and can be integrated with any CTC enrichment method, as well as any combination of immunofluorescence and FISH markers. NGK – New Generation Karyotyping An innovative platform powered by deep learning dramatically enhances technician efficiency and productivity and introduces first of a kind supervisor monitoring tools and an ISCN results generator that is directly linked to an online supporting cytogenetics database. Our customers leverage offline analysis and Web-based applications to collaborate with their colleagues and explore new business opportunities.Our Mission is to improve cancer patient’s assessments and outcomes. BioView develops, manufactures, and markets innovative Automated cell imaging and analysis platforms for use in cytology, cytogenetics and pathology at clinical and research laboratories who wish to digitize and streamline their analysis workflow. BioView’s industry-leading platforms offer advanced capabilities for Fluorescent and Bright-field based applications driven by Artificial intelligence. Starting from automated FISH Analysis of tissue and cells suspension for cancer and genetic abnormalities, to automated whole slide imaging for digital pathology and quantitative IHC scoring application for nuclear & membrane staining. Bringing liquid Biopsy to the clinical Practice We are a world leader in providing solutions for Circulating tumor cells detection, enumeration and characterization. Our all-in-one DeNovo system, offers high levels of speed, standardization and sensitivity. It is easy to operate, and can be integrated with any CTC enrichment method, as well as any combination of immunofluorescence and FISH markers. NGK – New Generation Karyotyping An innovative platform powered by deep learning dramatically enhances technician efficiency and productivity and introduces first of a kind supervisor monitoring tools and an ISCN results generator that is directly linked to an online supporting cytogenetics database. Our customers leverage offline analysis and Web-based applications to collaborate with their colleagues and explore new business opportunities.

Job DescriptionDescription: Mightier is a family-based program developed at Boston Children’s Hospital that empowers children to build emotional strength and supports the caregivers who love them. With Mightier’s innovative game system, players are able to practice keeping their “cool” while playing fun, award-winning mobile games. Three clinical trials at Boston Children’s Hospital, Harvard Medical School, and Mass General have shown Mightier works as well as medications. The program has served over 25,000 families with over 10 million games played. Our mission is to empower every child to build emotional strength. Why is this role important? Mightier grows every day, and we are seeking a creative and detail-oriented software engineer to join our growing product and engineering team. In this role, you will help build our product as we shift from a d2c to B2B product, ensuring stability, security, and scalability. You’ll do this by joining a small team responsible for the application surrounding our customer’s family’s journey building a product you’d be proud to have your family and close friends use! Job description: • Work with a small team, where you’ll own collaborating with the product team in order to build out complex use cases around our customer management., • Work with internal and external resources to accelerate product development, • Build on a modern AWS stack, architecting scalable cloud infrastructure for B2B workloads in a HIPAA-compliant environment., • Boston-based hybrid — 2 days per week in office (Tues/Thurs) Interview Process: • Resume submission, • Confirm you meet the listed requirements before applying. We are not able to sponsor visas or fund relocation at this time., • Take-home assignment, • A coding exercise expected to take 1–2 hours, submitted with a 3–5 minute recorded code walkthrough., • An in-person interview in the Boston area., • Held at our Boston office. We are not able to cover travel expenses, so candidates should be locally available. Working with us: We are still a small team and many of us come from incredibly varied career backgrounds. You will be working and communicating with psychologists, game designers, scientists, and parents to push Mightier forward. What unites us is that we all believe in the product and the impact it has. We care about every family, and we cultivate a free and open work environment where everyone’s voice is heard. Interested? Email resume to: careers@mightier.com Or apply at: https://www.mightier.com/careers/ Requirements: Relevant experience and qualifications: • 2+ years of professional full-stack software development experience., • Strong engineering judgment to balance rapid delivery with long-term scalability., • Ownership mindset with accountability for features in production, including testing, monitoring, alerting, and quickly addressing issues, • Curiosity and adaptability to learn new technologies and work across our stack - we currently use Typescript, React, and Python/Django., • Strong problem-solving skills with the ability to research and propose creative, out-of-the-box solutions., • Excellent communication skills to collaborate cross-functionally and bring ideas from concept to delivery, • Bachelor’s degree in Computer Science or equivalent practical experience, • Boston-based hybrid — 2 days per week in office (Tues/Thurs)

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. Job Summary: We are looking for a Senior computer vision and machine learning software engineer to support Research & Systems Engineering. Facilitating the research, design and deployment of new machine learning/artificial intelligence models, to embed within the current and future products portfolio. Owning the technical responsibility for all Artificial Intelligence (AI) features in the image processing and model training Portfolio. Responsibilities: • Design and lead innovative AI projects from beginning to end and provide technical guidance to other team members., • Be able to assist in the breakdown of new AI features into actionable work items, and work with the team to, • Estimate the time and complexity involved them., • Produce coherent and concise technical documentation of AI-based projects, providing summaries and evidence of, • work completed., • Manage AI model codebases from research to production level., • Communicate with other teams (Systems, Software Development team) to perform team tasks more effectively., • Contribute to the creation and filing of patents to protect intellectual property generated through research, • efforts, working closely with legal and intellectual property teams as necessary., • Implement state-of-the-art AI and ML models and evaluate performance with regards to key business objectives,, • Introducing research prototypes and features into the company’s portfolio of market leading instruments Experience Requirements: • Strong Python/C++ coding ability., • Strong experience in ONNX model and Microsoft ML interface, • Strong image processing knowledge, • Ability to readily absorb complex bioinformatic concepts., • Excellent problem-solving, analytical, and communication skills., • Strong knowledge of the biotech industry with a focus on cell development practices., • Deep knowledge of convolutional models and latest techniques., • Proficiency in major deep learning frameworks (PyTorch, Yolo, CellPose), • MSc or higher in CompSci, Mathematics, Physics, AI, Computational Biology or any other relevant quantitative, • discipline, OR equivalent master’s level work experience delivering AI/ML solutions, • 2+ years of experience applying ML/AI to microscope images or biological problems., • 3-4 years of experience with any of the major deep learning frameworks (PyTorch, Yolo, CellPose), • Demonstrable industry experience of delivering computer vision-based AI projects (preferably in biotech Physical Requirements and Working Conditions: • Ability to stand or sit for extended periods., • Manual dexterity required for handling laboratory equipment and instrumentation., • Ability to lift and carry up to 25 pounds., • Ability to perform repetitive tasks., • Ability to work in a laboratory environment with exposure to chemicals or biological materials., • Ability to use required personal protective equipment (PPE)., • Occasional bending, reaching, or movement within lab environment. Why Work for Nova Biomedical • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: Onsite work schedule on-site in Waltham, MA Targeted Salary Range: $145000 - $170000/year Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com About the role We are seeking a highly skilled Senior Software Engineer with expertise in developing Linux-based medical device software. As a Senior SW Engineer, you will design, develop and maintain the application with integrated TCP/IP-based communication protocols. You will have a strong background in building high-performance, scalable and reliable systems, with experience in concurrent, multithreaded system design. If you’re passionate about [insert relevant part of role] and want to be part of a team that is shaping the future of life sciences, we’d love to hear from you, apply today! What you’ll do • Developing application in C/C++ in Linux environment at user-space and kernel level, • Develop and maintain TCP/IP socket-based communication systems., • Collaborate with cross-functional teams to gather requirements and deliver robust technical solutions., • Participate in design and code reviews., • Troubleshoot and debug complex software issues., • Contribute to continuous improvement in design practices, code quality, and development processes., • Less likely but might involve travel to the customer site for issue identification. What we are looking for in you • Experience developing in C/C++ in Linux environment at user-space and kernel level, • Experience with ARM architecture, • Experience with networking protocols such as DHCP, TCP/IP, • Experience with network security protocols such as SSL/TLS, • Experience with WiFi 802.11 protocols and encryption including WPA, WPA2, WPA3, • Experience integrating NFC/RFID readers into Linux environment, • Understanding of cross-compiler toolchains, • Familiar with version control systems such as Git and SVN, • Proficient in shell scripting, • 8+ years of software development experience, • Bachelors Degree Computer Science, Computer Engineering Physical Requirements for this role include: Ability to stand or sit for extended periods. • Manual dexterity required for handling laboratory equipment and instrumentation., • Ability to lift and carry up to 25 pounds., • Ability to perform repetitive tasks., • Ability to work in a laboratory environment with exposure to chemicals or biological materials., • Ability to use required personal protective equipment (PPE)., • Occasional bending, reaching, or movement within lab environment. Why work for Nova Biomedical • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: Hybrid work schedule on-site in Waltham Targeted Salary Range: $140,000 - $175,000/year Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job Description Principal Software Engineer Help expand access to high-quality behavioral health care for students and families. Our engineering team builds technology that drives clinical excellence and operational efficiency. We’re seeking a Senior Software Engineer to design and build scalable systems that support real-world mental health care delivery. This is an individual contributor role with strong cross-functional collaboration. What You’ll Do • Design, build, and maintain scalable, secure systems across front-end, back-end, and data layers, • Develop infrastructure-as-code (CDK) to improve reliability and security, • Partner with Product and Engineering to deliver features and technical solutions, • Monitor, debug, and optimize system performance Systems & Integrations • Build data pipelines and integrations (EHRs, student systems, internal tools), • Improve workflow automation and operational efficiency, • Ensure HIPAA-compliant architecture and data protections Collaboration & Leadership • Work closely with Product and Engineering leadership, • Translate requirements into scalable solutions, • Mentor junior engineers Success Metrics • Delivery of high-quality features, • System reliability, security, and data integrity, • Efficiency gains from automation, • Successful system integrations, • Internal stakeholder satisfaction Qualifications (Required) • 7+ years building data-intensive platforms, • Strong system architecture, cloud, and API experience, • Proficiency in JavaScript (TypeScript), SQL, React, Next.js, • Experience with AWS (ECS, Lambda, CloudFormation, Cognito), MongoDB/DocumentDB, • Familiarity with testing frameworks (e.g., Jest), • Strong communication skills Preferred • Healthcare/HIPAA experience, • EdTech or school systems experience, • React Native or mobile development, • Startup or high-growth experience Who You Are Curious, proactive, and collaborative. You take ownership, navigate complexity, and build reliable systems that matter. Why Join • Mission-driven impact on student mental health, • Collaborative engineering culture, • Opportunity to shape core systems, • Flexible remote/hybrid work

Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values: • Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context., • Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly., • Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks., • Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility., • Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things., • Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages. What You Will Do You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members. As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions. You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions. As a Senior Scientific Data Engineer, you will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations. Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external. • Work with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus., • Take ownership of building data models, prototypes, and integration solutions that drive customer success., • Use AI agents to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries, • Extract reusable schema components and parsing functions, and productize them into Python libraries, • Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data, • Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc., • Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products, • Drive value for the customers - verify the solution fulfills their requirements and provides value, • Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions., • Lead team-wide process/technology improvements on product quality and developer experience, • Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them., • Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen., • Provide mentorship to junior SDEs and show leadership in every front Requirements • 8+ years of building data products as a Data Engineer or similar fields, • 8+ years working in Python and SQL with a focus on data, • Experience leading projects, managing requirements, and handling timelines, • Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones, • Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred, • Experience working with pre-clinical data and lab scientists is strongly preferred, • Excellent communication skills, attention to detail, and the confidence to take control of project delivery., • Quickly understand a highly technical product and effectively communicate with product management and engineering. Benefits 100% employer paid benefits for all eligible employees and immediate family members. 401K. Unlimited paid time off (PTO). Company paid Life Insurance, LTD/STD. This position isn't eligible for visa sponsorship

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care. What You'll Be Working On: • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research., • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions., • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date., • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users., • Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.What You'll Bring to OneStudyTeam:, • Extensive ML engineering experience: Minimum of 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people., • Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required., • Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments., • Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important., • Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production., • Mission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutions. The expected pay range for this role is $140,000 - $190,000 USD per year for full time team members. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as the Senior Director of Engineering, this role is responsible for our mission critical products. You will lead a high-impact engineering organization of 10-15 people. This role requires a versatile leader who can directly manage core teams while simultaneously coaching and scaling other teams through a direct-report Engineering Manager. Your work will help to: • Drive the comprehensive platform strategy and execution that will serve as the core technological enabler for next-generation, AI-based services. This platform is foundational to injecting intelligence and automation across the entire clinical trials life cycle, from protocol design and site selection to patient recruitment, data management, and regulatory submission., • Lead the development of "Steel Threads": end-to-end working software deployed to production that solve specific, high-friction site use cases (e.g., simplifying patient enrollment or site-specific study instructions)., • Oversee the acceleration strategy to enable continuous delivery without additional risk, ensuring the Site App remains performant and reliable, all while operating in a highly regulated industry.What You'll Be Working On, • Work with Product Management and Design to shape the product., • Work with your leads and architects to build a platform that can scale and rapidly meet business objectives. This role is an active participant in the architectural design of the product., • Contribute to the construction of a technical roadmap., • Recruit, hire and retain engineers, • Influence our organizational design as we rapidly scale the engineering team., • Foster a healthy and collaborative culture that embodies our team values., • Create lasting change in all aspects (people, process and technology) that will enable the organization to achieve rapid product deliveryWhat You'll Bring to OneStudyTeam, • You take an empathetic approach towards leadership., • While you are not expected to be developing, as a former engineer, you can hold your own in technical conversations., • Minimum of Engineering management experience with a strong track record of rapidly shipping products on schedule with Agile processes., • An innate ability to not just lead your teams but effectively influence the broader organization. You are the person who former employees want to work for again!, • Strong knowledge and experience leveraging SaaS based engineering principles., • Experience working remotely. We have a distributed engineering team with remote-first processes., • A deep desire to learn the domain in support of your ability to lead your organization., • An ideal candidate will have experience working with data heavy applications. The expected pay range for this role is $190,000 - $250,000 USD per year for full time team members. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com About the role The Principal Systems Engineer is responsible for defining and owning the end-to-end system architecture for Nova Biomedical point-of-care (POC) meters. This role ensures that product requirements are translated into robust, scalable, and compliant system designs that meet clinical, regulatory, and business needs. The position serves as the technical authority across hardware, software, firmware, consumables, connectivity, and manufacturing interfaces. The role exists to ensure system integrity, traceability, and long-term platform sustainability across the POC glucose portfolio. If you’re passionate about systems engineering and want to be part of a team that is shaping the future of life sciences, we’d love to hear from you, apply today! What you’ll do • Define, document, and maintain the overall system architecture for Nova Biomedical POC glucose meters, ensuring alignment with product requirements, regulatory standards, and platform strategy, • Translate user needs, clinical requirements, and regulatory inputs into clear system-level requirements, interfaces, and design constraints, • Lead system-level trade studies and architectural decisions involving hardware, firmware, software, consumables, algorithms, connectivity, and manufacturing processes, • Own system decomposition, interface definitions, and allocation of requirements to subsystems, ensuring bidirectional traceability throughout the product lifecycle, • Serve as the technical integrator across cross-functional teams, including R&D, Quality, Regulatory, Manufacturing, Supply Chain, and Service, • Identify, assess, and mitigate system-level technical risks through analysis, modeling, and verification planning., • Support design verification, validation, and regulatory submissions by providing system rationale, architecture documentation, and technical justifications, • Mentor and provide technical leadership to other systems and project engineers, promoting best practices in systems engineering discipline, • Define and govern system architecture considerations for power management, wireless charging, and energy storage, ensuring safe, reliable operation across clinical, home, and manufacturing use cases, • Lead system-level analysis and risk mitigation strategies related to battery thermal behavior and heat dissipation, including charging scenarios, environmental extremes, and long-term reliability to ensure patient safety and regulatory compliance What we are looking for in you • Minimum of 10 years of experience in systems engineering, product architecture, or technical leadership roles within regulated medical device environments, • Demonstrated experience defining and owning system architectures for complex electromechanical and software-driven products, • Strong working knowledge of medical device development processes, including design controls, risk management (ISO 14971), and systems engineering standards, • Experience working with cross-functional teams spanning hardware, software, firmware, consumables, manufacturing, and quality disciplines, • Proven ability to manage complex technical tradeoffs and drive architectural decisions in a fast-paced development environment, • Strong analytical, problem-solving, and technical communication skills, • Proficiency with requirements management and system documentation tools, • Bachelor’s degree in Electrical Engineering, Computer Engineering, Biomedical Engineering, or a related technical field required. Physical Requirements for this role include: • Prolonged periods of sitting, • Ability to lift up to 25lbs, • Ability to wear PPE Why work for Nova Biomedical • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: On site in our Waltham Office Targeted Salary Range: $155,000 - $190,000/year Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job Description At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery. As a Software Engineer II (iOS) in Healthcare, you will help build and maintain exciting features that drive real health outcomes and connect members to our powerful data science algorithms through beautiful visualizations. You will help our members understand all aspects of their health: physical, mental, emotional, hormonal and guide them in ways to take action to improve it. Healthcare works with cutting-edge technology and research in both the medical and wellness industry, ranging from launching medical devices such as ECG, to expanding into the clinical space with Advanced Labs, to developing novel measurements and insights like WHOOP Age and Menstrual Cycle Insights. RESPONSIBILITIES: Work in a cross functional team that collaborates closely with the data science, product, and software engineering teams at WHOOP Utilize knowledge of Swift to develop and maintain product features and communicate with a RESTful backend Document new features and architecture Contribute to new feature ideation, planning, and development Analyze and monitor user metrics and feedback to determine crash rate or potential bugs and to improve engagement Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store Self organize using productivity tools such as Jira, Confluence, and Github Stay up to date with the latest Apple frameworks and best practices Lead and contribute to new feature ideation, planning, and development Help mentor and elevate junior developers on the team QUALIFICATIONS: Product minded engineer with empathy for the customer experience Possess a strong willingness to learn and grow rapidly across iOS and external systems Experience with Swift and iOS frameworks such as SwiftUI, UIKit, AutoLayout, Interface Builder, XCTest Familiarity with MVVM/VIPER architecture Strong knowledge of iOS memory management and concurrency (Swift Concurrency & GCD) Experience developing libraries/frameworks and tooling that are used by other developers. Excellent knowledge of Xcode, Fastlane, Swift Package Manager, CocoaPods, and debug tooling. Experience communicating with a RESTful backend. Willingness to learn and grow rapidly across iOS and external systems. Experience mentoring more junior engineers Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000-$175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description At Editas Medicine, we are pioneering the possible. Our mission and commitment are to translate the power and potential of the CRISPR/Cas12a and CRISPR/Cas9 genome editing systems into a robust pipeline of medicines for people living with serious diseases around the world. Our goal is to discover, develop, manufacture, and commercialize transformative, durable, precision genomic medicines for a broad class of diseases. Why Choose Editas? At Editas Medicine, we’re a team of passionate problem solvers, harnessing the power and potential of CRISPR gene editing to transform the future of medicine. Driven by a shared purpose to serve people living with serious diseases, we succeed together through collaboration, mutual respect, and innovation. If you want to be part of a team where your voice is heard and respected, where you can operate at the forefront of gene editing, and push the boundaries of what’s possible in medicine, come join us and become an Editor! Decoding The Role: The Senior Information Security Engineer will enable Editas Medicine to operate with confidence by engineering a resilient, scalable, and proactive security posture that protects sensitive scientific, clinical, and corporate data. Over the next 12 - 18 months, this role must further design and mature enterprise‑grade security controls, elevate threat detection and response capabilities, and embed security into technology decisions across the organization ensuring Editas can innovate safely and at speed. This role drives the development and execution of security controls across cloud, on‑premises, and hybrid environments, ensuring strong alignment with business objectives, regulatory requirements, and industry best practices. Working closely with IT leadership and cross‑functional partners, the Senior Information Security Engineer leads initiatives in threat detection and response, identity and access management, vulnerability management, network and endpoint security, and security automation. This position serves as a subject‑matter expert and escalation point for complex security challenges, providing both strategic guidance and hands‑on engineering expertise. The ideal candidate brings deep technical proficiency, strong analytical instincts, and the ability to influence security decisions across a fast‑paced, high‑growth environment. This role offers the opportunity to shape the organization’s security posture, manage technical teams, and drive continuous improvement in a mission‑critical function. Characterizing Your Impact: As the Senior Information Security Engineer, you will oversee: Security Architecture & Engineering: • Lead the design and implementation of enterprise‑grade security controls, including network security, cloud security, endpoint protection, and identity platforms., • Architect secure solutions for new technologies, cloud migrations, and infrastructure modernization efforts., • Evaluate and integrate advanced security tools, automation frameworks, and detection technologies. Threat Detection & Incident Response: • Oversee security monitoring, threat hunting, and incident response activities., • Conduct deep‑dive investigations into complex security events and coordinate cross‑functional response efforts., • Lead vulnerability assessments, penetration testing coordination, and remediation tracking., • Develop and refine detection logic, playbooks, and response workflows. Risk Management & Governance: • Perform and lead risk assessments, threat modeling, and security reviews for applications, systems, and vendors., • Contribute to the development and enforcement of security policies, standards, and best practices aligned with frameworks like NIST, ISO 27001, and CIS., • Partner with compliance teams on audits, regulatory requirements, and remediation plans., • Drive continuous improvement of security processes, tooling, and operational efficiency. Leadership & Collaboration: • Manage and oversee security engineers at our MSP and serve as a subject‑matter expert across the organization., • Foster collaboration between IT and business functions (e.g., Genomics & Bioinformatics, Finance, HR, etc.) to establish a culture of security., • Communicate complex security issues to technical and non‑technical stakeholders, including leadership. Outcomes: • Security Architecture Maturity: Deliver and operationalize a unified security architecture across cloud, network, and endpoint environments., • Threat Detection & Response Improvement: Reduce mean time to detect (MTTD) and mean time to respond (MTTR) to security incidents, supported by improved detection logic, playbooks, and automation., • Vulnerability Management Predictability: Establish a risk‑based vulnerability management program where critical vulnerabilities are remediated and reporting is consistent and transparent., • Identity & Access Hardening: Implement strengthened IAM controls including MFA, SSO, and least‑privilege baselines resulting in full MFA coverage and measurable reductions in excessive permissions., • Cloud Security Enhancements: Deploy and validate cloud security guardrails (AWS/Azure) that achieve full compliance with defined cloud security baselines and reduce misconfigurations., • Incident Response Readiness: Lead at least two cross‑functional tabletop exercises and implement resulting improvements to IR processes, tooling, and communication workflows., • Governance & Compliance Alignment: Complete annual risk assessments, policy updates, and audit support activities with no major findings attributable to security engineering gaps and ensuring stakeholders feel confident in the company’s ability to protect sensitive data and systems., • Cross‑Functional Security Adoption: Build strong partnerships within IT and with business teams that make security a shared responsibility and resulting in consistent integration of security reviews into new technology and vendor decisions and build relationships. Requirements Competencies: Strategic Thinking, Influence & Collaboration, Communication Excellence, Problem Solving & Decision Making, Ownership & Accountability, Continuous Improvement Mindset, Team Leadership. The Ideal Transcript: To thrive in this role, you’ll need: Qualifications: • 8–10+ years of experience in information security, security engineering, or related technical fields., • Deep knowledge of network security, cloud security (AWS, Azure), and identity security (IAM, SSO, MFA, Zero Trust)., • Hands on experience with SIEM, EDR/XDR, firewalls, vulnerability scanners, email security, and cloud native security tools., • Strong understanding of threat detection, incident response, and forensics fundamentals., • Proficiency in scripting/automation (Python, PowerShell)., • Familiarity with secure development practices and common vulnerabilities (OWASP Top 10, SANS Top 25)., • Excellent communication and leadership skills. Preferred Qualifications: • Experience with security architecture frameworks and enterprise‑scale design., • Background in threat intelligence, malware analysis, or red/blue team operations/tabletop exercises., • Familiarity with compliance frameworks such as SOC 2, PCI‑DSS, HIPAA, or GDPR. Education & Certifications: • Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or equivalent experience., • Advanced certifications preferred: CISSP, GCIH, GCIA, OSCP, CCSP, Cloud security certifications (AWS/Azure/GCP). Physical & Travel Requirements: • Ability to work in a fast-paced, evolving environment., • Travel as required to Editas facilities and vendor locations. Benefits Benefits: Editas provides a comprehensive array of benefits to all employees, including a Blue Cross Blue Shield PPO Medical Plan, a company-funded Health Savings Account, Dental and Vision Insurance, Life and Disability Insurance, Dependent Care Account, Tuition Reimbursement, 401(k) plan with company match, Employee Assistance Plan, Wellness Programs, and a flexible Paid Time Off policy. Salary Range: $160,00 - $173,000 Pay Transparency Editas Medicine is committed to transparency and accuracy in our hiring practices. The anticipated salary range for each position is posted within the role. The final salary offer will be determined based on a comprehensive assessment of the candidate's qualifications, including education, training, and relevant experience. Additional factors such as external market conditions, the role's criticality, and internal equity will also be considered. Editas Medicine's compensation philosophy ensures fair and equitable pay practices. Aspire to be an Editor? We invite you to apply and join us at the forefront of innovation and be a key contributor to realizing Editas Medicine's mission of developing transformative medicines for people living with serious diseases.

Job Description InnoTECH Staffing is looking to hire a fulltime permanent Senior Manufacturing Engineer for an exciting and growing Brain-Computer Interface start-up in the Boston area. The ideal candidate will have proven experience taking complex medical device products from development to commercialization. Engineering & Operations | MedTech | Advanced Manufacturing & NPI | Scaling Complex Products from Development through Commercialization This person will work side-by-side with the Sr ME on the design, prototyping, and manufacturing-process development of the device. This is a hands-on role: you will own manufacturing process development and qualification, lead structured root-cause investigations on device failures, and spend significant time at the bench at company and at the CMO. We are seeking someone who is energized by bench work and process problems. Must be equally comfortable working onsite for a week at the contract manufacturer to dial in a build, designing and running a structured DOE to characterize a new process, and presenting a pFMEA to the CTO. What You’ll Do • Lead process engineering and production support at contract manufacturing partners, including embedded on-site work during critical builds., • Develop, document, and qualify manufacturing processes for HFE, GLP, design verification, clinical builds, and commercialization, with controls and validation rigor commensurate with each phase., • Lead structured root-cause investigations on lead failures observed in builds, bench testing, accelerated aging, and in vivo studies, including cross-sectioning, dissection, and metallographic failure analysis on multi-channel leads., • Review and author process procedures, change orders, equipment specifications, pFMEAs, and validation plans (IQ/OQ/PQ)., • Collaborate with R&D and suppliers to improve product robustness and manufacturability., • Establish the Manufacturing Quality Plan for the depth lead. Required Qualifications • Education: B.S. or M.S. in Mechanical or Materials Engineering (or related discipline)., • Experience: several years of relevant medtech manufacturing experience., • Process experience: Demonstrated experience with process development and optimization., • Regulatory familiarity: Working knowledge of FDA Design Controls (21 CFR 820.30) and ISO 13485. Preferred Qualifications • Experience with Class III active implantable devices (neural lead, IPG, neurostimulator, cardiac rhythm management device, cochlear implant, or comparable)., • Experience with the following: (a) insert or over-molding of polymers; (b) small scale assemblies; (c) laser systems; (d) polymer reflow., • Materials selection for implantable devices (ISO 10993)., • Prior startup or small-company medtech experience. Location Full-time, on-site at Boston MA office. Expect ~20–30% domestic travel to CM partners, concentrated during critical builds. Must be authorized to work in the US (visa sponsorship is not available for this role). Benefits • Stock options, • Comprehensive medical, dental, and vision insurance, • PTO and company holidays, • Paid parental leave

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com About the role We are seeking a level 2 Software Engineer with expertise in developing Linux-based medical device software, The candidate will design, develop and maintain the application with integrated TCP/IP-based communication protocols. You will have a strong background in building high-performance, scalable and reliable systems, with experience in concurrent, multithreaded system design. If you’re passionate about developing a high quality software and want to be part of a team that is shaping the future of life sciences, we’d love to hear from you, apply today! What you’ll do • Develop safety-critical C/C++ applications in a Linux environment, adhering to IEC 62304 standards to ensure high-performance and regulatory-compliant device operations, • Work with minimal supervision to solve problems, debug existing software, and implement new features/functionalities, • Develop and maintain TCP/IP socket-based communication systems., • Collaborate with cross-functional teams to gather requirements and deliver robust technical solutions., • Participate in design and code reviews., • Contribute to continuous improvement in design practices, code quality, and development processes., • Less likely but might involve travel to the customer site for issue identification. What we are looking for in you • 3+ years of software development experience, • Experience developing in C/C++ in Linux environment, • Understanding of TCP/IP, network troubleshooting, and secure coding practices, • Understanding of WiFi 802.11 protocols and encryption including WPA, WPA2, WPA3, • Working knowledge of NFC/RFID readers, • Experience with ARM architecture would be a plus, • Experience working with SQLite database would be a plus but not required, • Familiar with version control systems such as Git and SVN, • Comfortable in shell scripting, • Bachelors Degree Computer Science, Computer Engineering Physical Requirements for this role include: Ability to stand or sit for extended periods. • Manual dexterity required for handling laboratory equipment and instrumentation., • Ability to lift and carry up to 25 pounds., • Ability to perform repetitive tasks., • Ability to work in a laboratory environment with exposure to chemicals or biological materials., • Ability to use required personal protective equipment (PPE)., • Occasional bending, reaching, or movement within lab environment., • Why work for Nova Biomedical, • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA and Billerica, MA offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: on-site in our Waltham facility Targeted Salary: $95,000 - $115,000/year Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description An engineering professional who, working with little or no supervision, applies advanced scientific knowledge, engineering knowledge, mathematics, and ingenuity to complete complex assignments related to a specific technical field or discipline. A Principal Engineer has full knowledge of other related disciplines beyond their own area of expertise. Responsibilities: • Responsible for compliance with applicable policies and procedures. Ensures quality and effectiveness of key results of major projects within function through sound design, early risk assessments, and implementation of fallback strategies. Has full awareness of the potential consequences (defects and failure modes) of design changes to established processes. Mitigates risk within functions through sound design, early risk assessments and implementation of fallback strategies., • Identifies, plans, and conducts medium- to large-size projects within engineering specialty requiring custom, risk-managed execution plans, investigations, and/or equipment. Manages multiple, often concurrent, projects and meets deadlines., • Maintains project controls and reporting for cost, scope and schedule; develops execution strategy including procurement; balances multiple demands. Understands the business needs of the company, and has a thorough knowledge of the customer and clinical needs when developing a project scope. Incorporates business foresight of emerging technological trends., • Works with marketing, product development, and manufacturing to establish scope, priorities, and schedules on multiple projects. Independently performs economic analysis and feasibility studies related to complex and often multiple competing project alternatives. Responsible for achieving the project's financial targets in support of business objectives., • Analyzes business forces (customers, suppliers, competitors, technologies, government regulations) in major markets to identify trends and recommend responses. Independently executes, and/or directs others in the execution of: the design of products/processes/equipment/systems/facilities by applying novel engineering theories, concepts, and techniques within the disciplines. experiments, often with multiple variables, gathers data, and performs detailed analysis., • Designs and leads complex experiments, often with multiple variables, gathers data, and performs detailed analysis. Assesses relevance. Conceptualizes complete solutions. Creates or coordinates the design solutions for novel or complex problems; integrates regulatory and operational needs; assesses cost benefit. Explores multiple alternatives. Structures studies and integrate cross-disciplinary and cross-functional issues to arrive at optimal cause of action., • Applies technology in innovative ways. Combines technologies to anticipate or address customer needs; shares solutions across sites; employs proven solutions to increase effectiveness of engineering methodology or manufacturing process. Mentors others by sharing technical expertise and providing feedback and guidance., • Where appropriate, provides tasks/project assignment opportunities for employee development and evaluates performance. Represents the organization as the prime technical contact on contracts and projects., • Interacts with both senior management and external personnel on significant technical matters often requiring coordination between organizations. Submits articles for internal or external publication. Acts as a trusted advisor. Balances bottom line objectives of a project with long-term interest of customer. Is identified as a Subject Matter Expert in the discipline. Participates in internal teams to develop and align procedures and standards. May influence validation strategy.Qualifications, • A Bachelors Degree in Engineering, science, or closely related discipline is desired, or equivalent technical experience plus demonstrated competence, with a desired 8+ years of significant engineering and/or operational experience. A post-graduate education/degree is desired, and may contribute towards the desired years of experience. Has demonstrated competency within a discipline., • Has a career history marked by a consistent series of technical contributions and accomplishments. Significant contribution to product or process development or improvement through creative application of technical effort will equally be recognized., • Possesses a strong technical knowledge and application of concepts, practices, and procedures. Works on problems of complex scope where analysis of situations or data involves multiple competing factors. Exercises judgment and advises management as to the appropriate actions., • Interacts well with diverse groups within engineering and maintains strong working relationships with internal and external collaborators., • Listens to and understands others' points of view and articulates tactfully and respectfully one's own perspective orally, in writing, and in presentations., • Works well with other engineers in a collaborative, fast-paced goal-driven environment., • Possesses interpersonal skills to negotiate and reconcile differences., • Has a technical background in health care, medical devices, pharmaceutical, biologics, or similar industries (preferred)., • Has demonstrated competency with financial systems and in fiscal control., • Travel - 20-30% Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Job Description Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The Iterative Health Site Network is a premier network of 100+ clinical research sites across the US and Europe, accelerating the path to market for novel therapies. By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need. About the Role Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence. We're looking for a Staff Software Engineer to own the design and implementation of the core systems that make this possible. This means building robust integrations across a complex, fragmented landscape of EHRs, CTMS platforms, and clinical data sources, each with its own data models, access patterns, and operational constraints. It also means building the data infrastructure that powers our predictive capabilities: the pipelines, feature stores, and training infrastructure that allow us to move from raw clinical data to models that meaningfully improve trial execution. This is a generalist role for someone who thinks in systems. You'll move between architecture and implementation, between integration engineering and ML infrastructure, between defining technical strategy and writing the code that proves it out. The problems are genuinely hard, largely unsolved, and what you build will matter. This is an opportunity for someone who wants to be a part of a small, fast moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes. Responsibilities • Own the technical architecture for our core systems and build the foundational abstractions and interfaces that everything else is built on top of, • Build reliable integrations with dozens of external clinical data systems (EHRs, CTMS, eSource, labs), treating this as a hard systems design problem, not just an ingestion problem, • Build and evolve the infrastructure that supports model training and predictive capabilities, from ingestion through feature engineering and serving, • Move fast by prototyping to drive experimentation; derisk ideas quickly to keep the team building what works, • Evaluate and choose the technologies we build on: make build vs. buy decisions, select vendors, and shape our long-term infrastructure strategy, • Make the key technical tradeoffs between speed and durability, between generality and shipping, • Work across product, clinical operations, and data science to make sure you're solving the right problems, not just the interesting ones, • Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice What We're Looking For Required Qualifications • Have 10+ years of software engineering experience, with significant time spent designing and building systems not just features, • Experience with healthcare data systems (HL7, FHIR, EHR/EMR integrations) or other highly regulated data environments, • Have 2+ years experience working in a high-growth startup environment, • Have deep experience with system integration, particularly across unreliable or heterogeneous external data sources, • Can think through and explain the full picture of a complex system while still being effective at the implementation level, • Experience using AI tooling and frameworks as part of your engineering workflow, • Have built data pipelines and infrastructure that support analytical or ML workloads in production, • Strong across the backend stack (Python, SQL, cloud infrastructure) and can pick up new tools and systems quickly, • Have built systems from early stages, making foundational decisions with incomplete information, not just extending established infrastructure, • Naturally raise the quality of the engineering around you through code review, architecture guidance, and honest technical conversation Preferred Qualifications • Experience building ML training infrastructure or feature platforms, • Familiarity with clinical operations, systems, or life sciences data, • SOC 2, HIPAA or similar compliance experience baked into engineering practice, • A track record of building systems that had to work correctly under real operational constraints, scale and complexityNew York pay range$200,000—$325,000 USD At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com or aicompanies.com About the role The Principal Design Quality Engineer I plays a central role in ensuring that our in-vitro diagnostic products are safe, effective, compliant, and built on robust design principles. You will partner closely with R&D, Systems Engineering, Regulatory Affairs, and Manufacturing to guide products through the full design and development lifecycle, from concept through commercialization and post-market support. This role is ideal for someone who thrives at the intersection of engineering rigor, quality systems, and hands-on problem solving. What you’ll do • Serve as the Design Quality representative on cross-functional product development teams, ensuring compliance with 21 CFR 820, ISO 13485, IVDR, and other applicable standards., • Lead and maintain Design Control activities, including design plans, design reviews, risk management files, verification/validation strategy, and design transfer documentation., • Develop, review, and approve risk management documentation (per ISO 14971), including hazard analyses, FMEAs, and risk-benefit assessments., • Partner with R&D to ensure design inputs are clear, testable, and aligned with user needs and regulatory expectations., • Review and approve engineering documentation such as specifications, test protocols, test reports, and design changes., • Support verification and validation activities, including method development, statistical justification, and traceability., • Drive root cause investigations and corrective/preventive actions (CAPA) related to design issues, nonconformances, and field performance., • Support supplier quality activities for design-critical components, including qualification and change assessments., • Contribute to continuous improvement of the Quality Management System, with a focus on design-related processes., • Participate in internal and external audits, providing subject-matter expertise on design controls and IVD product development., • Strong working knowledge of 21 CFR 820, ISO 13485, ISO 14971, and IVD-specific regulatory expectations., • Experience with risk management, verification/validation, and design documentation., • Ability to interpret engineering drawings, specifications, and test data., • Excellent communication skills and comfort working cross-functionally., • Experience with IVD assays, instrumentation, software-driven diagnostics, or reagent/consumable development., • Familiarity with IVDR (EU 2017/746) requirements., • Background in statistics, DOE, or analytical method validation., • Experience in a fast-paced, early-stage or growth-stage biotech environment. What we are looking for in you • List Qualifications/Requirements for role, • Bachelor’s degree in Engineering, Life Sciences, or related technical field., • 3–7+ years of experience in medical device or IVD product development, with direct involvement in design controls., • Physical Requirements for this role include:, • Ability to work in an office, laboratory, and light manufacturing environment as needed., • Ability to sit or stand for extended periods while reviewing documentation, participating in meetings, or supporting lab activities., • Ability to lift, carry, or move equipment, test fixtures, or materials up to 25 lbs occasionally., • Ability to perform hands-on tasks such as inspecting components, handling small parts, or supporting test setups that may require fine motor skills., • Ability to wear appropriate PPE (e.g., lab coat, gloves, safety glasses) when working in laboratory or production areas., • Ability to move between different work areas, including R&D labs, production floors, and meeting spaces., • Visual acuity sufficient to read engineering drawings, specifications, and test data, both on screens and on paper., • Occasional travel (up to 10%) to suppliers, manufacturing partners, or other company sites may be required., • The full list of physical requirements for this role is available upon request. Why work for Nova Biomedical • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices, • Company subsidized cafeteria in our Waltham, MA office Work Location: Hybrid work schedule on-site in Waltham, MA Targeted Salary Range: $120,000 - $160,000/year. Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy https://advancedinstruments.showpad.com/share/DmsEd5QTLlqemTYABlvDW

Job Description Hybrid Full-time, Staff Software Engineer at Activ Surgical About the job, About the Company Activ Surgical is an early-stage medical device startup dedicated to transforming advanced surgical visualization through innovative imaging, computer vision, and AI technologies. Our market-leading product integrates cutting-edge solutions to deliver enhanced clinical insights for laparoscopic and minimally invasive procedures. We are seeking an experienced Staff Software Engineer to join our fast-moving, highly collaborative software team. This is an opportunity to work on challenging technical problems at the intersection of medical imaging, computer vision, machine learning, and real-time systems, and to have a direct impact on life-saving products used in the operating room. Position Summary As a Staff Software Engineer, you will play a key role across all aspects of software development, helping expand adoption of our current product through integrating Activ Surgical technology with strategic partnerships while contributing to the development of our next-generation platform. Your work will help empower surgeons with improved visualization and decision-making tools in the operating room. You will serve as a technical expert in applying modern software design principles to build scalable, high-performance software solutions for laser speckle contrast imaging (LSCI) and fluorescence imaging systems on Windows-based platforms. Leveraging your strong hands-on engineering skills and analytical expertise in data analysis, computer vision, and real-time systems, you will design and develop innovative, high-quality medical device software with minimal supervision. You are a flexible and dependable team player who collaborates effectively with engineers across disciplines to deliver breakthrough solutions in a fast-paced environment. You bring a positive, enthusiastic mindset and maintain professionalism and composure while working under pressure and meeting critical deadlines. Key Responsibilities Product Development · Maintain and improve overall Activ Surgical application software system and internal software tools. · Apply modern design principles to develop new features and improvements in software architecture, user-interface, database, and network from concept to design and implementation to commercial product release. · Conduct research and development of laser speckles contrast imaging (LSCI) algorithms and techniques using machine learning, advanced computer vision, and other state-of-the-art technologies. · Develop rapid prototypes for demonstrating new features, proof of concepts, GUI design, and hardware evaluation in direct collaboration with commercial, and cross functional team. · Improve Activ Surgical software development processes to meet the latest FDA guidelines and cybersecurity standards. · Evaluate and select third-party software tools and libraries, including SOUP (Software of Unknown Provenance) and COTS (Commercial off-the-shelf software) · Conduct investigations of software-related complaints from the field and internal users. · Contribute to the creation and revision of software design documents and other software development lifecycle documents. · Contribute to software design review and software pull request review. Requirements Requirements • BS in Engineering, Computer Science, or a related field with a demonstrated passion for software development, software craftsmanship, and test-driven development with meticulous attention to details, • 8+ years of experience in product software development, with 5+ years in medical device R&D. · Proficiency in Object Oriented Design, C++ 11 and beyond, C#/WPF MVVM Framework or other modern UI frameworks are required. · Expert in object-oriented analysis and design with product software development experience for real-time video rate image handling and processing. · Proficiency in scripting languages, such as Python, or PowerShell script and Windows batch commands. · Proficiency in software development best practices including software source control (git), unit testing, and continuous integration. · Good grasp of User Experience concepts, cybersecurity standards, and secure software development process. • Working knowledge of IEC 62304, ISO 13485, and FDA cybersecurity guidance., • Excellent oral and written communication skills, teamwork, and multitasking skills Preferred: • Advanced degree in Engineering, Computer Science, or a related field. · Proficiency in GPU programming, Image processing, and automated test solutions. · Experience in modern User Interface design. • Knowledge of advanced imaging technologies (e.g. hyperspectral imaging, fluorescence imaging, multispectral imaging, or laser speckle contrast imaging), • Experience with surgical vision systems, especially endoscopic or laparoscopic camera platforms · Product development experience in network interface and database management software. · Experience with Deep Learning, Convolutional Neural Networks, or other AI techniques. · Experience in DevOps tools. • Exposure to agile software methods (e.g. JIRA experience for software development sprints and issue tracking) Benefits Fortune 500 Health & Wellness Benefits, 401K Match with 100% immediate vesting. Flexible PTO, Paid Parental Leave, Paid parking and commuter benefits.

Job Description At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology monitors vital physiological metrics to offer personalized insights that enhance fitness, health, and recovery. As a Senior iOS Engineer on the Healthcare team, you will build the foundations that power WHOOP’s medical offerings across the iOS app—owning platform capabilities, shared architecture, and reliability and performance improvements that enable secure, scalable delivery of Medicare and Medicaid experiences. You will help bring WHOOP’s clinical and behavior-change programs to life, developing features that drive measurable habit improvement and reinforce healthy behaviors for our members. In this role, you will lead technical planning for complex, highly regulated initiatives, mentor other engineers, and raise the bar for engineering excellence RESPONSIBILITIES: Lead the design and implementation of core iOS platform capabilities (for example, app architecture, navigation patterns, shared UI components, networking, persistence, and feature flagging) Drive technical planning for initiatives, including scoping and sequencing work, identifying dependencies and risks, and communicating tradeoffs and timelines to stakeholders Deliver high-quality, member-facing iOS features in Swift, collaborating with cross-functional partners to ensure requirements are met and outcomes are measurable Improve app reliability, performance, and maintainability through testing, observability, crash and performance monitoring, and disciplined release practices Establish and evolve shared engineering standards through code reviews, documentation, and architectural discussions, influencing patterns used across iOS development Mentor and support other engineers through pairing, feedback, and knowledge sharing, helping grow individual capability and the overall health of the codebase QUALIFICATIONS: Significant experience building, testing, debugging, and shipping native iOS applications in production environments Strong proficiency with Swift and iOS frameworks (for example, SwiftUI, UIKit, XCTest) and experience with modern architecture patterns (for example, MVVM) Experience leading technical planning and delivery for ambiguous, cross-cutting iOS initiatives (for example, modularization, large refactors, performance programs, or reliability initiatives) Strong foundation in iOS performance and reliability fundamentals (for example, memory management, profiling, and concurrency with Swift Concurrency and/or GCD) Experience integrating mobile apps with backend services and APIs (for example, RESTful APIs, authentication flows, and resilient networking) Familiarity with common iOS tooling and workflows (for example, Xcode, Git, CI, Fastlane, Swift Package Manager, CocoaPods) Demonstrated ability to collaborate effectively across functions (for example, Product, Design, QA, Data, and Backend Engineering) and communicate clearly with technical and non-technical audiences Bonus: Experience building shared mobile foundations across platforms (for example, collaborating closely with Android on patterns and releases), or contributing to backend services and APIs (for example, Java) Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job DescriptionWho is BlueRock? BlueRock Therapeutics LP is a clinical stage cell therapy harnessing the power of cell therapy to create a pipeline of new medicines for people suffering from neurological and ophthalmic diseases. Two of our novel investigational cell therapies, bemdaneprocel (BRT-DA01) for the treatment of Parkinson’s disease and OpCT-001 for the treatment of primary photoreceptor diseases are clinical stage programs. BlueRock was founded in 2016 as a joint venture of Versant Ventures and Leaps by Bayer. Our culture is defined by the courage to persist regardless of the challenge, the urgency to transform medicine and deliver hope, integrity guided by mission, and community-mindedness with the understanding that we are all part of something bigger than ourselves. What Are We Doing? Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit. We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options. We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients’ lives. The Clinical Operations Study Lead (COSL)/Associate Director oversees the management and operations of one or more BlueRock clinical trials. The individual in this role is the accountable BlueRock leader for the operational planning, execution, and oversight of clinical studies. In this role, the COSL ensures that studies are conducted in alignment with regulatory requirements, and timelines, while fostering a culture of cross-functional collaboration and operational excellence. Key Responsibilities: Clinical Operations & Study Leadership • Provides strategic and operational leadership for one or more complex clinical studies, ensuring successful delivery through the study lifecycle (planning to execution) ensuring adherence to timelines, budgets, and quality standards., • Develops executable study plans and milestones. Establishes and maintains clinical study timelines., • Utilizes operational data and metrics to drive high-quality planning processes and operational execution. Monitors the same to drive overall performance and risk management., • Maintains a comprehensive overview of study status, proactively communicating progress, risks, and mitigation strategies to stakeholders., • Leads/partners in the development and/or QC review of key study documentation (e.g, study protocols, informed consents, monitoring plans, operational manuals), • Drives operational initiatives key to successful study execution including but not limited to site identification/qualification, site activation strategy, site performance management, overall enrollment success (including mitigation/rescue actions as needed). Compliance & Process Improvement • Ensures clinical activities are conducted in accordance with ICH-GCP, FDA, EMA, and other applicable regulatory guidelines and internal quality standards., • Supports or leads aspects of audit and inspection readiness and risk mitigation initiatives, including root cause analysis and CAPA development/closure for operational findings on assigned studies., • Actively contributes to the advancement of department and organizational initiatives and processes. Team Leadership & Development • Leads study and/or project team(s), including effectively partnering with colleagues from other disciplines. (Clinical Development, Regulatory, Data Management, Safety, Quality) and external partners (CROs, vendors, academic collaborators, alliance partners) to ensure seamless trial execution., • Participate in the mentorship of clinical operations staff. Innovation • Contributes to the development and implementation of novel clinical operations activities and methods in cell therapy.Minimum Requirements, • Bachelor’s degree in life sciences or related field, • 7+ years’ experience in clinical operations within the pharmaceutical, biotech and or CRO setting including at least 2 years in a study or team leadership role in a pharma or biotech company., • Experience supporting both early and late-stage clinical studies. Preference for experience with BLA-enabling trials., • Demonstrated success managing complex clinical studies in global settings; strong preference for cell/gene therapy or biologics experience; therapeutic area experience in neurology and/or ophthalmology preferred., • Excellent knowledge of clinical trial design, operational systems (CTMS, eTMF, EDC), and regulatory requirements (ICH-GCP, FDA, EMA)., • Strong vendor management skills and experience with complex outsourcing and partnership models, • Proven financial acumen. Experience managing within a study budget, managing and reporting on change order status, • Exceptional verbal and written communication and stakeholder management skills . Track record of developing and delivering high quality materials and updates for leadership forums., • Demonstrated ability to effectively collaborate with internal and external stakeholders in a highly matrixed setting, • Ability to thrive in a fast-paced, matrixed, and innovative environment. Salary Range: $170,000 - $200,000 #LI-AL1 BlueRock Therapeutics Company Culture HighlightsWinner of Boston Business Journal's Best Places to Work (Mid-size Company) 2023Winner of Comparably's Award for Best Company for Diversity 2022Winner of Comparably's Award for Best Company for Women 2022Winner of Comparably's Award for Best CEO 2022BlueRock Therapeutics is ranked in the top 5% of companies for Overall Culture on Comparably.Engineering Department is ranked in the top 5% of companies for Overall Culture on Comparably. Check us out on Comparably: https://www.comparably.com/companies/bluerock-therapeuticsFollow us on Linkedin: https://www.linkedin.com/company/bluerocktx/ Equal Opportunity Workplace: At BlueRock, we welcome and support differences and diversity and we are proud to be an equal opportunity workplace. Please let us know if you require disability-related accommodation or other grounds protected by human rights legislation during the recruitment process so that we can work with you to meet your needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always., • Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: The Engineering team at SmithRx is developing the next-generation modern pharmacy benefits management (PBM) platform that will change how companies administer and manage pharmacy benefits. Our unified technology platform provides real-time actionable insights that drives cost savings, powers clinical services and results in a brilliant customer experience. A unified technology platform exists nowhere in the pharmacy benefit ecosystem to programmatically solve widespread deficiencies. The result is a PBM delivering unmatched service quality and operational efficiencies that exceeds all industry standards. As a Senior Automation Engineer you will have responsibility for the overall test strategy of the products you test. You have an automation-first mindset, leveraging your experience to determine where to add tests to best maximize impact. You will create automated tests to help build and improve our regression test suites. Not only will you help maintain these frameworks, but you will constantly look to improve them so they are reliable, efficient, and easy to use. While embedded in your sprint team you will be the primary quality advocate who champions best practices in testing, develops deep product knowledge, and consistently delivers high quality code to our users. You will help maintain and improve our quality standards, constantly raise the bar, and show a passion for finding defects before they are shipped. What you will do: • Develop and maintain automated tests to help ensure high test coverage and fast feedback on defects, • Continuously maintain and improve our test frameworks, • Manage test strategy, product testing, and planning within your sprint team, • Create testing-related documentation including test plans and test cases, • Find and report bugs and track these to resolution in a timely manner, • Collaborate with the Product team to provide valuable insight and input to help create impactful features, • Provide clear test results to Development and Product teams to help manage project expectations/progress, • Create and maintain security and performance tests, • Develop deep expertise in the SmithRx products, • Utilize AI tools like Playwright MCP, Claude, and Copilot to realize efficiencies in your daily work, • Maintain and refine quality metrics to help track and communicate overall product health What you will bring to SmithRx: • Bachelors Degree in Computer Science or equivalent work experience, • 5+ years of experience in QA and automation testing with a demonstrated track record of team leadership, • Experience with one of the following languages: Python, Typescript, Java, or Javascript, • Experience with writing automated tests for API's in a scripting or programming language, • Experience with API automation frameworks such as Pytest or REST Assured, • Experience with automation frameworks such as Selenium, Cypress, or Playwright, • Familiarity with Page Object Model for UI automation, • Familiarity with CI/CD systems such as GitHub Actions, CircleCI, or Jenkins What SmithRx Offers You: • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities

Job DescriptionWho is BlueRock? BlueRock Therapeutics LP is a clinical stage cell therapy harnessing the power of cell therapy to create a pipeline of new medicines for people suffering from neurological and ophthalmic diseases. Two of our novel investigational cell therapies, bemdaneprocel (BRT-DA01) for the treatment of Parkinson’s disease and OpCT-001 for the treatment of primary photoreceptor diseases are clinical stage programs. BlueRock was founded in 2016 as a joint venture of Versant Ventures and Leaps by Bayer. Our culture is defined by the courage to persist regardless of the challenge, the urgency to transform medicine and deliver hope, integrity guided by mission, and community-mindedness with the understanding that we are all part of something bigger than ourselves. What Are We Doing? Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit. We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options. We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients’ lives. The Senior Manager, Systems and Metrics, will play a critical role in maintaining and refining a data-driven culture within Clinical Operations, under the supervision of the Clinical Operations Leadership. The role will manage current and future Clinical Operations-owned systems and applications from the business perspective, gather requirements, establish metrics, maintain the lexicon, create processes, support users, oversee data quality, and provide relevant department-level support. The scope of systems includes but is not limited to operational data dashboards, performance and planning tools, system workflows, communication and collaboration systems, and study documentation systems. This role requires a proactive, organized, and detail-oriented, professional capable of understanding complex business needs and guiding IT/vendors in the translation of requirements into meaningful solutions in a fast-paced, highly complex environment. The ideal candidate can demonstrate knowledge of clinical operations business processes, is experienced working with clinical operations data and systems, and can make connections between business and technical needs to create meaningful impact in the biotech and pharmaceutical setting. Note: This is a business role with a strong working knowledge of technical processes and system design; this is not an IT system manager role. Key Responsibilities: • Serve as business lead for one or more systems owned by Clinical Operations. Provide business support for multiple systems and applications used by Clinical operations., • Work closely with the business owner/lead, IT systems owner/team, and relevant vendor partners. Contribute to or lead vendor management, where appropriate, dependent on owning department for vendor relationship., • Work closely with business stakeholders inside and outside of Clinical Operations, where applicable, to understand current processes, needs, gaps, and value potential. Draft business requirements that are clear and actionable by IT/vendor partners., • Oversee business requirements to successful implementation, including communication to IT/vendor partners and business stakeholders, perform business testing, develop processes/trainings, and where needed, refine requirements., • Oversee use and accuracy post go-live by monitoring data/metrics, hosting office hours, and managing user inquiries (mailbox). Utilize a proactive approach to assessing accuracy, troubleshooting, and seeking user feedback., • Maintain a repository of standard terms, definitions, and calculations utilized in respective systems (the “lexicon”). Collaborate with stakeholders on business needs, create a common understanding, and build alignment across systems., • Serve as a system Subject Matter Expert (SME) and provide support to users and teams on various use cases. This could include providing initial training or guidance ahead of an activity; providing routine support throughout an activity; assisting in vendor management for a subset of data-focused activities or of a vendor-owned system; or, where appropriate, leading the business team on a particular activity e.g., a one-time deep-dive analysis., • Support department-level system, data or process needs for Clinical Operations. This will include, but not limited to, management of the department SharePoint page and support on the clinical trials mailbox., • Support Core Capabilities and broader Clinical Operations team members on system and data-related needs. This could include SME support for a particular system, compilation of information, or broader input from the system/data/process perspective based on expertise., • Support/manage process improvement efforts, ensuring adherence to BRT standards, and all applicable regulations and guidelines., • Review/develop business terms, BRT Working Practices, Standard Operating Procedures (SOPs), templates, training, platforms and systems to drive improvements that are advantageous to BRT., • Represent values-based leadership consistent with BRT Core Values: courage, urgency, integrity and community.Minimum Requirements:, • Bachelor’s degree and 4-7 years of experience within the pharmaceutical or biotech industry with a focus on systems, data, and/or metrics from a business perspective, or equivalent combination of advanced degree and experience. Prior formal analytics training and/or education preferred., • Experience representing the business on technical workstreams or system teams. Experience working with IT consultants and/or system providers/vendors., • Working knowledge of the clinical trial lifecycle, clinical operations responsibilities, cross-functional team member roles, GCP and relevant regulatory guidelines, and clinical operations-relevant systems (e.g. CTMS, EDC, eTMF, Tableau/Spotfire or other data review platforms). Must have the ability to translate this knowledge into system/data requirements that will have a meaningful business impact., • Working knowledge of the system development and validation process., • Demonstrated ability to multi-task and prioritize while working on multiple competing priorities., • Strong attention to detail, analytical skills, and organizational skills, and with accompanying “big picture” understanding., • Excellent verbal and written communication skills., • Ability to work independently and demonstrate accountability., • Advanced Proficiency in MS Office (Excel, Teams, PowerPoint, Word) and ability to quickly learn new technologies and processes. Prior experience with Business Intelligence tools (e.g., Tableau, Spotfire, PowerBI) preferred. Experience leveraging AI in the scope of clinical operations and/or process automation preferred., • Must be customer focused and able to manage challenging priorities and remain flexible and adaptable in stressful situations., • Willing to travel up to 15% of the time. Salary Range: $154,000 - $180,000 #LI-AL1 BlueRock Therapeutics Company Culture HighlightsWinner of Boston Business Journal's Best Places to Work (Mid-size Company) 2023Winner of Comparably's Award for Best Company for Diversity 2022Winner of Comparably's Award for Best Company for Women 2022Winner of Comparably's Award for Best CEO 2022BlueRock Therapeutics is ranked in the top 5% of companies for Overall Culture on Comparably.Engineering Department is ranked in the top 5% of companies for Overall Culture on Comparably. Check us out on Comparably: https://www.comparably.com/companies/bluerock-therapeuticsFollow us on Linkedin: https://www.linkedin.com/company/bluerocktx/ Equal Opportunity Workplace: At BlueRock, we welcome and support differences and diversity and we are proud to be an equal opportunity workplace. Please let us know if you require disability-related accommodation or other grounds protected by human rights legislation during the recruitment process so that we can work with you to meet your needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are a rapidly growing, Boston-based medical technology company using AI to enable clinicians to make informed decisions on cardiovascular care - leading to better patient outcomes, improved quality of care, and reduced healthcare costs. Come work at Elucid and be part of delivering on our mission to prevent heart attacks and strokes! Elucid is at the forefront of quantitative imaging, tissue characterization, and atherosclerotic plaque analysis, and we’re continuing to grow our engineering organization! As a Senior Software Engineer - Image Processing, you will help build the software systems that power our AI-driven medical imaging platform. You’ll collaborate closely with machine learning and visualization engineers to bring advanced imaging algorithms into production—designing and optimizing high-performance C++ pipelines and services that process large volumetric medical imaging datasets. Your work will focus on building reliable, scalable software that transforms complex imaging data into clinically meaningful insights, enabling physicians to better understand and treat cardiovascular disease with their patients. The ideal candidate will have: • 3+ years of experience developing image processing algorithms and software, ideally for medical or clinical products., • Strong modern C++ skills, along with a solid foundation in software design principles and patterns, (eg. object-oriented design and template-based generic programming)., • Experience working with CT/CTA or other volumetric medical imaging data, including segmentation and registration techniques, as well as familiarity with standards such as DICOM., • Experience optimizing software for performance, including algorithmic efficiency, memory usage, file I/O, and parallel execution, with tools and techniques such as multithreading, CUDA, and profiling., • Experience building maintainable, high-performance production systems in collaborative, fast-paced engineering environments., • Industry experience with machine learning is welcome but not required., • Enthusiasm for working at the intersection of image processing, machine learning, and scalable software systems.Work Location, • For local candidates in Greater Boston, we operate in a hybrid model with regular in-office collaboration. Candidates outside of the Boston area are invited to apply as fully-remote employees.Salary Range:, • The anticipated base salary range for this position at Elucid is $145,000-$170,000. Compensation will be influenced by a wide array of factors including but not limited to internal pay equity, job-related knowledge, skills, education, relevant experience, certifications, and geography as outlined in the job description. ---------------------------------------------------- At Elucid, we believe the best work happens in a flexible hybrid environment. Boston-area employees are encouraged to work from the office on Mondays and Wednesdays, with the option to come in additional days if they prefer. Fully remote employees outside the Boston area come in as needed. We are an equal opportunity employer and value diversity at Elucid. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We understand that self-doubt can sometimes prevent great candidates from applying. If you believe you can make an impact at Elucid, even if you don’t meet every qualification, we encourage you to apply! Powered by JazzHR dIJXgOv3KA

Job Description Who is BlueRock? BlueRock Therapeutics, a wholly-owned and independently operated subsidiary of Bayer AG, is a leading engineered cell therapy company using its unique cell+gene platform to direct cellular differentiation and genetically engineer cells to create a new generation of cellular medicines that address large patient populations suffering from neurological, cardiovascular, and immunology diseases. The convergence of cell biology and genetic engineering is creating fundamental new ways to impact disease. Founded in 2016 to capitalize on these technological breakthroughs, we are advancing our novel cell+gene platform to develop, manufacture, and deliver an entirely new generation of authentic and engineered cell therapies across three therapeutic areas: neurology, cardiology, and immunology. What Are We Doing? Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit. We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options. We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients’ lives. Description of Position: This position will lead clinical data management activities for programs or projects, representing clinical data management function on internal and external teams. This position is also responsible for the oversight and quality check of the clinical data management tasks performed by a CRO, coordination of internal cross-functional team data review activities to the issue resolutions, to ensure the data deliverables with good quality and within thew expected timelines for statistical analysis, publications and regulatory reports/submissions. Reporting to the Senior Director, Data Management, this position may assists in the developing SOP, working instruction, job aid etc. to align with the corporate strategic plan for the clinical data management department. Responsibilities: · Lead data management efforts to coordinate study from start-up activities, interim data cuts to support various activities, to close out activies · Represent data management function at cross-functional meetings · Lead regular data review meetings in a cross-functional team environment. · Responsible for data cleaning, query and resolutions, review of medical coding · Oversee or responsible for external lab data reconciliation, manage and reconcile external data, authoring data transfer agreements · Lead or oversee database lock activities and ultimate archiving of study data · Supervise and mentor supporting data managers to ensure data management activities are conducted as expected · Lead eCRF development and facilitate cross-functional reviews of specification · Oversee and direct database building activities, including review of edit check specifications, lead and perform the user acceptance testing · Monitor data collection, data cuts, coding, and cleaning by CROs through tracking of study metrics and targeted data reviews · Review data management plans, CRF completion guidelines, external data transfer specifications and other study documentation, ensuring all data management documents are completed and to be filed in the study eTMF and are ready for regulatory inspection · Using data visualization tools to perform data review or quality check data with cross function teams · Review clinical study protocols and statistical analysis plans · Participates in other activities and meetings to support Data Management/Biometrics as necessary · Support in the SOP’s, working instruction, templates development for data management head of the Data Management Minimum Requirements: · Excellent interpersonal skills and good conflict management and negotiation skills · B.S. / B.A. in scientific discipline (minimum undergraduate degree required), with 7 years of Data Management experience and a minimum of 4 years of leading or vendor oversight experience · Experience with medical dictionaries, including MedDRA and WHODrug · Proficient with electronic data capture (EDC) systems like Veeva EDC, Medidata-RAVE and the development of CRF/eCRF for clinical trials and its impact in database design/development · Proficient experience working in an outsourced data management model. · Excellent verbal and written communication, organization and time management skills Equal Opportunity Workplace: At BlueRock, we welcome and support differences and diversity and we are proud to be an equal opportunity workplace. Please let us know if you require disability-related accommodation or other grounds protected by human rights legislation during the recruitment process so that we can work with you to meet your needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our data science algorithms teams are responsible for developing novel algorithms and features that expand our health and fitness capabilities with medical-grade metrics. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. Currently, we have two Senior MLE roles open across two teams: DS Health team: novel algorithms within the domains of women's health, multimodal longitudinal health insights, and SaMDDS Core Algos team: performance-related insights for sleep, recovery, or exercise As a Senior Machine Learning Engineer on our Core Algos or Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineer, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions build on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and ability to deliver production-ready ML systems. RESPONSIBILITIES: • Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers, • Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance, • Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency, • Collaborate with researchers and product teams to align model development with physiological insights and member impact, • Participate in on-call rotations for data science services, ensuring uptime and performance in production environmentsQUALIFICATIONS:, • Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred)., • 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems, • Strong coding skills in Python with a track record of writing clean, production-quality code, • Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch), • Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models, • Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices, • Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems, • Preferred: 2+ years of experience applying advanced mathematical and statistical techniques, • Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Machine Learning Engineer on our Clinical Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. A central part of this role is collaborating with crossfunctional teams that own regulatory, quality, and clinical strategy, to ensure our algorithms are developed with the rigor required for regulated software. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services within a quality-managed framework. RESPONSIBILITIES: Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers. Collaborate with Data Platform teams to improve ML data pipelines, tooling, and validation systems that support robust model performance. Work alongside Applied ML Scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency. Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies. Collaborate with researchers and product teams to align model development with health insights and member impact. Participate in on-call rotations for data science services, ensuring uptime and performance in production environments. QUALIFICATIONS: Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred). 7+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML systems. Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch). Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code. Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models. Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices. Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems. Experience developing ML-enabled software in a regulated or quality-managed environment (SaMD or medical device), with working knowledge of change control, quality documentation, traceability, and verification/validation practices. Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship. Proven track record driving measurable improvements in system performance, reliability, and/or cost at scale, and influencing cross-functional technical direction. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior ML Research Engineer to join the Sensor Intelligence Group (SIG). This role will contribute to both member-facing and regulated health features, requiring balance of strong rigor in Machine-learning and Deep-learning fundamentals, and clinical-data/regulatory awareness. You will tackle the complex challenge of extracting reliable insights from noisy sensor data and deploying robust algorithms on constrained edge and cloud environments, ultimately delivering meaningful and personalized metrics to millions of members. Join us in pushing the boundaries of wearable technology and positively impacting people's lives! RESPONSIBILITIES: Design and train deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. Stay up to date with the latest advancements in DL research and technologies. Support documentation of the algorithms for regulated health features. Write clean, efficient, and maintainable code Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality. Conduct experiments and perform rigorous testing of the models. Optimize and fine-tune the DL/ML (including Foundation AI models) models for deployment in production systems, considering factors such as computational resources and real-time constraints. Prepare comprehensive reports for cross-functional teams. Contribute to ongoing research efforts and explore new features for the Whoop product. Collaborate with engineers from SIG, Data Science and Firmware teams to translate research prototypes into scalable, efficient, and cost-effective ML inference systems. QUALIFICATIONS: Master’s or PhD degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field Must have published research papers in ML/DL domains, preferably application of ML/DL on biomedical data Solid understanding of ML fundamentals, and particularly DL techniques. At the SIG team, we like to be aware of the mathematics behind the algorithms we use 4+ years of work/academic experience as a Machine-Learning/Deep-Learning researcher (2+ years, post-PhD work experience with those having a PhD degree). The requirements may be relaxed for exceptional candidates. Experience developing or supporting regulated or high-risk ML systems (e.g., digital health, software as a medical devices), including familiarity with validation, documentation, and change-management requirements in regulated environments is a significant plus. Strong experience with time series data, e.g. data pertaining to wearables, physiological signals or any high-frequency sensor data. Familiarity with signal processing concepts and techniques is expected. Strong experience with multiple DL architectures is expected. Experience in training/fine-tuning/deploying Foundation AI models is a plus. Proficiency in Python (scientific stack), ML/DL frameworks and libraries, e.g. PyTorch, TensorFlow. Experience with cloud computing platforms (e.g. AWS or GCP) is a plus. Strong communication (both written and oral) and collaboration skills across cross-functional teams. Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job Description As a Staff Software Engineer on our Clinical Health team, you will design, build, and operate the production systems that deliver personalized health insights to millions of WHOOP members. You will work at the intersection of machine learning, backend engineering, cloud infrastructure, and software as a medical device (SaMD), building scalable, reliable, and observable services that power health features derived from physiological and behavioral data. In this role, you will partner closely with Applied ML Scientists, ML Research Engineers, and Digital Health teams to translate novel algorithms and research prototypes into production-grade systems. You will provide technical leadership across ML infrastructure, inference services, data pipelines, and platform architecture, ensuring our health algorithms can be deployed, monitored, validated, and operated at scale within a quality-managed environment. This role is ideal for engineers with deep experience building distributed systems and production platforms who are excited to apply those skills to machine learning-powered healthcare products. RESPONSIBILITIES WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Software Engineer, Machine Learning on our Clinical Health team, you will design, build, and operate the production systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure—building scalable, reliable, and observable services that power health features derived from physiological and behavioral data streams. A central part of this role is partnering with Applied ML Scientists, ML Research Engineers, and Digital Health teams to translate novel algorithms and research prototypes into production-grade systems. This role emphasizes distributed systems design, backend engineering excellence, platform thinking, and operational rigor. You will help define the architecture, tooling, and infrastructure required to deploy, validate, monitor, and operate ML-powered health features within a quality-managed framework. RESPONSIBILITIES: • Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers., • Lead the architecture and development of scalable ML inference systems, APIs, and backend services optimized for reliability, latency, and cost efficiency., • Collaborate with Data Platform teams to improve ML data pipelines, tooling, feature delivery systems, and validation frameworks that support robust model performance., • Work alongside Applied ML Scientists to translate research prototypes into production systems that can be deployed, monitored, and operated at scale., • Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies., • Drive operational excellence through monitoring, observability, incident response, and reliability improvements for ML-powered services., • Collaborate with researchers, product teams, and engineering stakeholders to align platform investments with health insights and member impact., • Participate in on-call rotations for ML and data services, ensuring uptime, performance, and reliability in production environments., • Provide technical leadership through architecture reviews, engineering standards, mentorship, and cross-functional collaboration.QUALIFICATIONS:, • Bachelor's degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, or a related field (Master's preferred)., • 7+ years of professional experience as a Software Engineer, Machine Learning Engineer, Platform Engineer, or related role building large-scale distributed systems and/or production ML platforms., • Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code., • Strong fundamentals in backend and service development, including APIs, distributed systems, reliability, monitoring, debugging, and performance optimization., • Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch)., • Experience building and maintaining distributed systems, event-driven architectures, or high-throughput data processing platforms., • Experience deploying and operating services on cloud platforms (AWS or GCP), including Kubernetes, CI/CD pipelines, infrastructure automation, and observability tooling., • Experience partnering with data science or machine learning teams to productionize models, algorithms, and data-driven features., • Familiarity with applied machine learning concepts, model evaluation, experimentation, and performance validation., • Experience processing time-series, streaming, sensor, wearable, physiological, or other high-volume data sources is preferred., • Experience developing software in a regulated or quality-managed environment (SaMD, medical device, healthcare, fintech, or similarly regulated domains) is a plus., • Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship., • Proven track record driving measurable improvements in system performance, reliability, scalability, and/or cost at scale, while influencing cross-functional technical direction.This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job DescriptionSenior Signal Processing EngineerBoston, MA Duties: Whoop, Inc. seeks a Senior Signal Processing Engineer (Boston, MA) to design and implement algorithms to extract physiological information from noisy biosensor data and optimize on- device computation. Partner with Firmware and Data Science teams to deploy artificial intelligence and machine learning models on edge devices. Optimize models for real-time inference on edge devices, including analysis and improvement of battery consumption patterns. Collaborate with the Signal Processing team to develop algorithms that personalize calculations based on member data. Research and design innovative algorithms to improve performance under edge-computation constraints. Contribute to software development, debugging, and validation to ensure production-ready code and reliable results. Build, train, and test machine learning models for large-scale data processing on edge devices. Collaborate with Product Managers to translate member needs into machine learning–based solutions. Requirements: Master's degree in Computer Science, Applied Mathematics, Electrical Engineering, Biomedical Engineering, or related field (or foreign degree equivalent) and at least 4 years of experience with signal processing and/or machine learning. At least 4 years of experience developing and implementing AI solutions for real-time processing on edge devices; At least 4 years of experience collaborating with cross-functional teams to understand requirements and design efficient edge computing solutions; At least 4 years of experience with biosensor systems and analyzing biomedical data; At least 4 years of experience with signal and image processing applications (C, C++, Python or MATLAB); At least 4 years of experience with ML libraries such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical method and design of clinical studies; At least 4 years of experience with code and battery optimization on the edge; At least 4 years of experience adapting to changing requirements while producing high quality reports under tight deadlines. Full-time position.Salary: $150,000 – $215,000/year

Job Description WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Staff Machine Learning Engineer to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data., • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities., • Develop scalable, distributed training pipelines for large models on high-performance compute environments., • Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability., • Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value., • Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP., • Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration., • Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.QUALIFICATIONS:, • Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience., • 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems., • Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training., • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)., • Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments., • Familiarity with best practices for data, model, and context parallelisms., • Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications., • Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.)., • Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute., • Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams., • Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $215,000-$260,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Senior AI Engineer Cambridge, MA - 4 days onsite $200,000 - $220,000 + bonus + equity THE COMPANY Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring—integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications. RESPONSIBILITIES • Model Development & Deployment – Develop, train, and deploy ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship., • ML Infrastructure – Build and maintain scalable pipelines for data ingestion, feature engineering, training, and model serving on cloud platforms (e.g., AWS, GCP)., • Data Engineering – Collaborate with clinical and data teams to curate and manage high-quality, multi-modal datasets (e.g., genomics, imaging, EHRs)., • Research to Production – Turn advanced research into real-world systems, including adapting foundation models and integrating multi-modal learning into clinical workflows., • Evaluation & Monitoring – Implement evaluation frameworks, experimentation pipelines, and monitoring tools to ensure robust, clinically reliable performance., • Collaboration – Partner with clinicians, researchers, product managers, and engineers to align technical solutions with healthcare needs. SKILLS AND EXPERIENCE • MSc or PhD in computer science, machine learning, computational biology, or a related field, • Proven experience building and deploying ML models in production, • Strong Python skills and experience with frameworks like PyTorch, JAX, or TensorFlow, • Familiarity with cloud GPUs/TPUs, modern ML pipelines, and containerization (e.g., Docker), • Solid software engineering practices (version control, testing, CI/CD, code review), • Ability to communicate complex concepts to technical and non-technical audiences, • Experience with healthcare or biomedical data (e.g., genomics, pathology, EHRs), • Publications or open-source contributions in relevant fields, • Startup or entrepreneurial experience, especially in fast-paced environments, • Experience building ML systems from zero to one BENEFITS The compensation package contains a base salary, bonus, equity and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | AI | Deep Learning | Machine Learning | ML Engineer | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup | Engineering | End-to-end | Deployment | Container | Docker | CI/CD | CI / CD | Integration

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery. As a Software Engineer II (Backend) in the Healthcare group, you will help build and maintain exciting features that drive real health outcomes and connect members to our powerful data science algorithms through beautiful visualizations. You will help our members understand all aspects of their health: physical, mental, emotional, hormonal and guide them in ways to take action to improve it. Healthcare works with cutting-edge technology and research in both the medical and wellness industry, ranging from launching medical devices such as ECG, to expanding into the clinical space with Advanced Labs, to developing novel measurements and insights like WHOOP Age and Menstrual Cycle Insights.RESPONSIBILITIES: • Contribute to engineering efforts within a cross-functional team, collaborating with designers, product managers, other engineers, and our Digital Health team to refine and advance the WHOOP platform., • Develop and maintain robust backend services using Java, Kafka, Postgres, and other AWS technologies, ensuring stability and performance., • Contribute to the ideation, technical design, and implementation of new features and platforms, transforming complex requirements into reliable, scalable solutions, • Work on scaling challenges that span multiple systems and demand high availability and reliability., • Write clean, testable, and maintainable code, while participating in code reviews and documentation practices.QUALIFICATIONS:, • Professional experience in backend development, with a strong foundation in object-oriented programming, API design, and relational databases (RESTful APIs, Postgres), • Familiarity with asynchronous processing systems (Kafka, SQS)., • Experience writing automated tests and documenting code for a variety of audiences., • A passion for approaching large-scale problems guided by data-driven insights and a commitment to agile, iterative development, • A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environmentLearn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

BCforward is seeking a highly motivated Senior Principal Automation Engineer, Platforms to support their pharmaceutical client in Boston, MA. Expected Duration: 1 year with possibility to extend Location: Boston, MA/onsite Role Objective A key objective of this role is to enable scalable experimental data generation by implementing automation platforms that produce consistent, high-quality datasets with structured metadata capture. These platforms support downstream analytics and AI/ML model development by ensuring data is traceable, reproducible, and generated within well-defined execution contexts. Primary focus is platform delivery; standards, documentation, and knowledge transfer are continuous deliverables tied to each platform rather than a separate phase. This position requires a highly experienced automation engineer capable of operating independently and delivering complex automation platforms with minimal onboarding. The successful candidate is expected to rapidly assess existing systems, identify gaps, and drive platforms to production with limited ramp time. Engagement Details • Location: Boston, Massachusetts (Seaport district), • Travel: approximately 10–15% Key Responsibilities • Independently own and deliver automation platforms from requirements definition through deployment, validation, and operational handoff, • Drive systems into stable, production-scale operation, ensuring reliability, scalability, and successful adoption by scientific teams, • Rapidly assess existing automation systems and drive them to production-ready state with minimal onboarding, • Operate as a senior individual contributor with full technical ownership of assigned platforms, making independent decisions required for successful delivery, • Partner with scientists, automation engineers, and data teams to translate biological workflows into robust, automated platforms, • Design and implement automation workflows that improve throughput, reduce variability, and ensure consistent metadata capture and traceability, • Develop and optimize liquid handling methods on Hamilton STAR platforms, including liquid class development, assay miniaturization, and workflow standardization, • Implement integrated automation workcells involving liquid handlers, robotics, and analytical instrumentation, • Implement barcoding, sample traceability, and workflow coordination across automation platforms, • Support integration of automation platforms with scheduling software and digital laboratory systems, • Identify and resolve technical risks to ensure successful delivery of complex automation systems, • Establish documentation, standards, and reusable patterns to support maintainability and scalability of automation platforms, • Enable knowledge transfer to internal team members to support long-term ownership and operation of deployed systems, • Collaborate with Lab Operations and IT to support system installation, infrastructure planning, and operational readiness, • Contribute to continuous improvement of automation platform reliability, efficiency, and scalability Initial Focus Areas • RNA extraction automation platforms (standardization and production deployment), • NGS library preparation workcells (integration and scale-up), • Barcoding and sample traceability integration across automation platforms, • Automation platform integration with scheduling and digital laboratory systems Required Qualifications • Industry experience in laboratory automation, with direct, hands-on responsibility for designing and delivering complex automation platforms and integrated workcells, • Demonstrated track record of independently delivering multiple production-scale automation systems end-to-end, including system design, method development, integration, validation, and operational deployment, • Extensive hands-on expertise with Hamilton STAR liquid handling platforms, including advanced method development in Venus, liquid class creation and optimization, and troubleshooting of complex liquid handling behavior in production environments, • Proven experience implementing integrated automation workcells involving liquid handlers, robotics, scheduling systems, and analytical instrumentation in coordinated, production environments, • Direct experience automating next generation sequencing (NGS) workflows at scale, including library preparation, bead-based cleanup, normalization, and indexing PCR, • Demonstrated experience standardizing automation platforms across multiple systems or sites, including development of reusable methods, materials standardization, and cross-site deployment strategies, • Experience integrating automation systems with scheduling software such as Green Button Go or equivalent orchestration platforms in production environments, • Strong understanding of RNA and molecular biology workflows, with experience translating these workflows into robust automated systems, • Experience operating in fast-paced R&D or clinical environments with aggressive delivery timelines and evolving requirements, • Experience integrating automation platforms with ELN/LIMS systems such as Benchling or equivalent, • Experience developing automation requirements, technical documentation, and SOPs, • Working proficiency in Python or similar scripting languages, applied within laboratory automation or instrument integration contexts, • Ability to work effectively across interdisciplinary teams and present platform status concisely to engineering, scientific, and leadership audiences Success in This Role Success in this role will be demonstrated by: • Deployment of stable, production-ready automation platforms supporting RNA workflows, • Measurable improvements in throughput, reproducibility, and operational efficiency, • Consistent generation of structured, traceable experimental datasets, • Successful adoption of automation platforms by scientific teams, • Clear documentation and knowledge transfer enabling long-term team ownership of systems

We’re working with a venture-backed healthcare technology company solving complex problems at the intersection of data, software engineering, and applied machine learning. The platform is already in real-world clinical use, and the engineering team is now scaling core systems to support growing adoption, data volumes, and product scope. This is a senior individual contributor role for someone who wants to own backend architecture and operate with real autonomy in a high-impact, technically rigorous environment. As a Staff Software Engineer, you’ll take ownership of backend systems that underpin data-heavy, production-grade products used in real healthcare settings. You won’t be handed rigid specifications, instead, you’ll help define the technical direction, make architectural decisions, and set engineering standards. You’ll work closely with software, data, and applied ML teams to ensure systems are scalable, reliable, and secure from day one. What You’ll Do • Design, build, and maintain scalable backend services and APIs, • Own architecture decisions for distributed, event-driven systems, • Partner with data teams on data ingestion, transformation, and analytics pipelines, • Support production deployment of ML-backed systems and inference workflows, • Build and maintain third-party and enterprise integrations in regulated environments, • Improve reliability, observability, and CI/CD practices across the platform, • Set the bar for engineering quality and mentor senior engineers Your Background • 7+ years of professional software engineering experience, • Expert-level Python for backend services and data processing, • Strong experience with distributed systems, microservices, and system design, • Solid database experience (SQL + NoSQL) with performance tuning, • Cloud infrastructure experience (AWS), including Docker, Terraform, Kubernetes, • Strong testing, deployment, and monitoring practices, • Comfortable working in environments with security and compliance constraints Nice-to-have • Experience in healthcare, fintech, or other regulated industries, • Exposure to data-intensive or ML-enabled products, • Experience integrating with external enterprise systems, • Background scaling platforms from early-stage to production use Why This Role • High ownership, high trust engineering culture, • Complex, meaningful technical problems, • Real-world impact from day one, • Small, senior team with strong technical standards If you’re a backend engineer who enjoys owning systems end to end and wants to work on problems that actually matter outside of tech, this is worth a conversation.

We're seeking a Senior Full Stack Engineer who thrives in fast-paced startup environments and enjoys owning products from concept to launch. In this role, you'll develop and deliver patient-facing experiences across mobile and backend systems, helping shape products that directly impact healthcare outcomes. You'll work closely with product, design, and engineering teams to create reliable, intuitive, and secure applications while contributing to the evolution of our technical platform. What You'll Do • Lead the development and release of end-to-end features across mobile applications and backend services., • Own complete feature delivery, including frontend implementation, API integrations, backend enhancements, performance optimization, accessibility, and edge-case management., • Design and build patient-centric experiences such as scheduling, care coordination, messaging, progress tracking, and other critical workflows., • Improve application performance, reliability, and observability through monitoring, logging, alerting, and proactive issue resolution., • Extend APIs, data models, and backend services to support new product capabilities while maintaining scalable architecture and code quality., • Ensure secure handling of sensitive healthcare information by following industry best practices for privacy, security, and compliance., • Contribute to internal operational and clinical tools that support evolving business needs., • Collaborate with technical leadership to enhance platform architecture, developer productivity, and product delivery speed., • Elevate engineering standards through code reviews, automated testing, CI/CD improvements, and mentoring peers., • Partner cross-functionally with product managers, designers, and stakeholders to deliver polished, high-quality user experiences. What We're Looking For • 6+ years of experience building and shipping production software with demonstrated ownership of full-feature delivery., • Strong experience developing modern mobile applications and backend services in production environments., • Full-stack expertise, including frontend development, API-driven architectures, and backend systems- python, react, django, and react native., • Experience designing, consuming, and extending GraphQL APIs and data models., • Deep understanding of secure application development, including authentication, authorization, encryption, data protection, and dependency management., • Ability to build thoughtful user experiences that account for accessibility, usability, performance, and production readiness., • Comfortable operating in startup or high-growth environments with evolving priorities and ambiguity., • Experience leveraging AI-powered development tools while maintaining high engineering standards and code quality., • Experience shipping large, user-facing features, • Background in regulated or complex data environments, • Experience building and shipping large product features, • Strong understanding of APIs and data integration, • Experience in regulated environments (enterprise SaaS or similar) Nice to Have • Familiarity with mobile deployment pipelines, release management, feature flagging, staged rollouts, and production monitoring., • Experience implementing accessibility best practices in mobile applications., • Knowledge of modern mobile development toolchains and build systems., • Experience with offline-first architectures, synchronization strategies, and resilient mobile experiences., • Exposure to healthcare interoperability standards, clinical data models, or regulated environments., • Strong TypeScript skills.

About Nia Therapeutics Memory loss is one of the largest unmet needs in medicine. More than 27 million Americans live with memory loss caused by traumatic brain injury, Alzheimer’s disease, and aging. For these patients, no therapy — pharmacological or device — has been shown to restore the memory function they have lost. Nia Therapeutics is changing that. Our Smart Neurostimulation System (SNS) is the first AI-guided brain stimulation platform designed to restore memory, built on three decades of human neuroscience and DARPA-funded clinical research. In March 2026 we received FDA Breakthrough Device Designation for the treatment of memory loss following traumatic brain injury and are preparing for our first-in-human studies. A key component of the system is an implantable multi-channel lead that records and stimulates the human brain. The Role Reporting to the Chief Technology Officer, the person in this position will partner with our Senior Mechanical Engineer on the design, prototyping, and manufacturing-process development of our depth lead device. This is a hands-on role: you will own manufacturing process development and qualification, lead structured root-cause investigations on device failures, and spend significant time at the bench at Nia and at our contract manufacturing partners. About You You are energized by bench work and process problems. You are equally comfortable embedding for a week at a contract manufacturer to dial in a build, designing and running a structured DOE to characterize a new process, and presenting a pFMEA to the CTO. You care about getting the device right because patients are waiting on it. What You’ll Do • Lead process engineering and production support at contract manufacturing partners, including embedded on-site work during critical builds., • Develop, document, and qualify manufacturing processes for HFE, GLP, design verification, clinical builds, and commercialization, with controls and validation rigor commensurate with each phase., • Lead structured root-cause investigations on lead failures observed in builds, bench testing, accelerated aging, and in vivo studies, including cross-sectioning, dissection, and metallographic failure analysis on multi-channel leads., • Review and author process procedures, change orders, equipment specifications, pFMEAs, and validation plans (IQ/OQ/PQ)., • Collaborate with R&D and suppliers to improve product robustness and manufacturability., • Establish the Manufacturing Quality Plan for the depth lead. Required Qualifications • Education: B.S. or M.S. in Mechanical or Materials Engineering (or related discipline)., • Experience: B.S. + 3 years (or M.S. + 2 years) of relevant medtech manufacturing experience., • Process experience: Demonstrated experience with at least two of the following, applied to miniature implantable assemblies: (a) Insert or over-molding of polymers around fine-gauge wire and metal contacts; (b) Multi-lumen polymer extrusion handling; (c) Centerless grinding of finished assemblies; (d) Laser welding of fine-gauge wire to ring or lug structures; (e) Polyurethane reflow, • Regulatory familiarity: Working knowledge of FDA Design Controls (21 CFR 820.30) and ISO 13485. Preferred Qualifications • Experience with Class III active implantable devices (neural lead, IPG, neurostimulator, cardiac rhythm management device, cochlear implant, or comparable)., • Experience with micro injection molding and production of micro-scale device assemblies., • Cross-sectioning, metallographic, or micro-CT / X-ray failure analysis of implantable assemblies., • Materials selection for implantable devices (ISO 10993)., • Prior startup or small-company medtech experience. Location Full-time, on-site at our Allston, MA office. Expect ~20–30% domestic travel to contract manufacturing partners, concentrated during critical builds. Must be authorized to work in the US (visa sponsorship is not available for this role). Benefits • Stock options, • Comprehensive medical, dental, and vision insurance, • PTO and company holidays, • Paid parental leave

Your mission To continuously improve our customers' ability to manage clinical studies, to adhere to strong business ethics and integrity and to maintain a healthy work life balance. Your profile About the Role We're looking for an experienced PowerBuilder Developer to join our development team. In this role, you’ll work on maintaining, enhancing, and supporting business-critical applications built on PowerBuilder. You’ll collaborate with cross-functional teams to understand business needs and deliver stable, scalable software solutions. This position also offers the opportunity to modernize and evolve systems with new technologies This is a great opportunity for someone who thrives in a legacy environment but also enjoys identifying ways to modernize and optimize software systems. Key Responsibilities • Develop, maintain, and enhance applications using PowerBuilder, • Debug and troubleshoot existing code and provide timely fixes, • Collaborate with business analysts, QA teams, and end users to gather requirements and deliver solutions, • Write clean, efficient, and well-documented code, • Participate in application upgrades, migrations, and integration efforts, • Ensure application performance, scalability, and security standards are met, • Provide production support and troubleshoot mission-critical systems, • Assist in the documentation of systems, procedures, and workflowsQualifications, • 3+ years of experience in PowerBuilder development, • Solid understanding of object-oriented programming in PowerBuilder, • Strong experience with databases like SQL Server, Oracle, or Sybase, • Proficiency in writing complex SQL queries, stored procedures, and triggers, • Ability to understand legacy code and reverse-engineer logic, • Experience with software development life cycle (SDLC) practices, • Excellent problem-solving, communication, and teamwork skillsPreferred / Nice-to-Have:, • Experience with PowerBuilder 2017 or later (Appeon), • Exposure to modern development tools or frameworks (.NET, REST APIs, etc.), • Familiarity with version control tools (Git, SVN, etc.) Why us? EvidentIQ, LLC is a software company based in Hopkins, MN. As a tightly integrated team we provide clinical trial software and services to a global client base. Founded in 1997 as Fortress Medical Systems, EvidentIQ, LLC is now part of the global EvidentIQ team of clinical trial software and data sciences companies. We aim to provide high quality software and services that add value to our clients to enable their success in the medical device and pharmacological industries. We prioritize our relationships with our clients to provide top level support and services guided by our collective industry experience. What We Offer • A collaborative and innovative work culture, • Opportunities to work with cutting-edge clinical technologies, • Flexible working arrangements, • Competitive compensation and benefits About us EvidentIQ is a leading provider of next-generation eClinical solutions designed for specialists in the clinical research market. Our comprehensive suite includes EDC, eCOA, ePRO, eTMF, and CTMS. All integrated within a single cloud platform to meet the evolving needs of clinical operations and data management. We combine our eClinical suite with a robust data science portfolio, patient recruitment services, and real-world evidence solutions. EvidentIQ is committed to enhancing clinical trial results through innovative technology and expert support.

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit _ to learn more about us. Forward Deployed Software Engineers (FDSEs) are embedded technical partners to high-stakes enterprise clients. In pharma engagements, they work directly with clinical, medical affairs, and R&D teams to build data-driven solutions on our Medical and Clinical Products platforms. FDSEs operate like startup CTOs: owning end-to-end technical delivery, adapting to evolving problems, and translating between business and data domains. WHAT YOU'LL DO AT H1 As a Senior Forward Deployed Software Engineer, you’ll demonstrate how to drive enterprise SaaS adoption through embedded engineering. You’ll operate in a multi-segment, pharma-focused capacity, leading full-stack delivery, deeply integrating with clients, and providing technical leadership through software engineering. You will: • Act as a trusted technical partner to pharma clients, translating business needs into scalable, maintainable solutions, • Dive deep into H1’s data and SaaS architecture to build, deploy, and optimize full-stack applications, • Ingest, model, and integrate complex enterprise data (e.g., claims, clinical trials, provider records) at scale, • Own full-stack responsibilities, from data modeling to UI, delivering and iterating live solutions within client environments, • Partner with client executives and non-technical stakeholders to shape project scope, estimate effort, incorporate feedback, and deliver outcomes in collaboration with Product and Engagement teams, • Operate autonomously within small teams, influencing architectural and delivery standards with direct client impact ABOUT YOU • Comfortable navigating technical and non-technical audiences in fast-moving, ambiguous settings. You value collaboration, iterative problem-solving, and constructive feedback., • Have the grit to own an engagement end-to-end, from discovery to delivery, with a mindset similar to a founder or technical lead., • A pragmatic builder with a rigorous analytical approach, especially around large-scale data operations. - You’re hands-on and code-first, with a systems-level understanding of how pieces fit together. REQUIREMENTS • 6+ years of full-stack engineering experience, including direct collaboration with enterprise clients and cross-functional teams, • Familiarity with JavaScript and backend technologies such as SQL (PostgreSQL preferred), along with strong programming skills in Python, • Hands-on experience with data platforms and pipeline tools in an AWS environment, including Airflow, AWS EMR, EKS, and custom ETL workflows, • Proven ability to mentor peers or lead small teams while remaining deeply hands-on, • Familiarity with Salesforce data models and GTM workflows (e.g., leads, accounts, opportunities, activities) to design solutions that support client-specific use cases COMPENSATION This role pays $130,000 to $155,000 per year, based on experience, in addition to stock options. Anticipated role close date: 6/28/2026 H1 OFFERS • Full suite of health insurance options, in addition to generous paid time off, • Pre-planned company-wide wellness holidays, • Retirement options, • Health & charitable donation stipends, • Impactful Business Resource Groups, • Flexible work hours & the opportunity to work from anywhere, • The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. We work with more than 1,900 organizations annually to develop and activate transformative strategies, operating models, and organizational enterprises that make US healthcare more affordable, accessible, safe, and human. With more than 1,450 professionals, we help providers, payers, technology innovators, retail companies, and investors create and embrace solutions that tangibly and materially reshape healthcare for the better. Our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—is 100% focused on healthcare and each has a longstanding commitment to helping transform healthcare in big and small ways. Believe in better. Chartis has offices in Boston, Chicago, New York, Washington D.C., and Nashville. Remote work is allowed. This is an opportunity to join a software development team building next-generation AI platforms for healthcare. We are looking for a technically fearless, accomplished engineer who will serve as a subject matter expert across agentic and full-stack systems, working daily in an agile environment to solve complex, cross-team challenges. You will drive engineering excellence and champion a culture of quality, innovation, and operational effectiveness. AI & Agentic Systems Development Design and build robust agentic workflows utilizing advanced frameworks such as LangChain and LangGraph. Contribute to the strategy and ongoing maintenance of AI infrastructure, ensuring alignment with broader business goals and organizational risk tolerance. Develop and maintain robust AI evaluation frameworks that measure real-world performance and drive measurable outcomes in healthcare. Develop indexing and retrieval strategies across diverse healthcare data sources, including document repositories, FHIR-based clinical datasets, and payor/provider data, to power intelligent, context-aware applications. Lead deployment of Large Language Models (LLMs) at scale, ensuring reliability, performance, and responsible AI safety practices. Fullstack Engineering & Operational Excellence Build scalable back-end services and front-end solutions, utilizing languages and frameworks such as Python, Node.js, and JavaScript/TypeScript. Define and maintain reliable cloud infrastructure using Infrastructure as Code (IaC) best practices on Azure or Google Cloud. Ensure robust CI/CD pipelines are in place for automated deployment, testing, and continuous quality assurance. Champion best practices for observability, availability, latency, scalability, and efficiency across distributed systems. Build solutions with a DevOps mindset, seeking to automate integration and deployment so features can scale effectively and securely. Leadership & Collaboration Mentor other engineers through code reviews, design documentation, and post-mortems to foster a culture of technical growth. Lead the technical direction of products through roadmaps and design reviews, translating engineering tradeoffs into business risk and impact for non-technical stakeholders. Partner effectively across multiple teams and with Product and UX stakeholders to ensure platform decisions reflect business requirements. Demonstrate excellent judgment in selecting methods for developing solutions that are robust, reliable, testable, and maintainable. Maintain a voracious appetite for current technology trends, continuously bringing relevant innovations to the team. Education: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Mathematics, or a related scientific/engineering field. Master’s degree preferred. Experience: 5+ years of relevant industry experience shipping world-class products as part of a highly functional software development team. AI & Agentic Systems: Demonstrated experience designing and maintaining AI infrastructure and agentic workflows utilizing frameworks such as LangChain, LangGraph, Google ADK, or similar. Familiarity with deploying AI PaaS solutions such as Azure AI Foundry or Vertex AI is a plus. Fullstack Technical Depth: Extensive hands-on experience in full-stack software development with proficiency in Python, Node.js, and JavaScript/TypeScript, including front-end frameworks (e.g., React, Next.js) and back-end API design. Cloud Proficiency: Deep technical proficiency with cloud platforms (Azure or Google Cloud), including experience with managed AI services, vector/semantic search, and cloud-native deployment patterns. Operational Skills: Strong understanding of CI/CD, Infrastructure as Code (IaC), and containerized workloads (Kubernetes), with demonstrated experience supporting production systems. Communication: Proven ability to translate complex technical decisions and engineering tradeoffs into business risk and impact for non-technical stakeholders, and to represent platform constraints clearly in cross-functional planning. Salary range: $200,000 - $225,000, plus may be eligible for an annual discretionary bonus. The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skills, experience, training, licensure and certifications, practice area, and other business and organizational needs. In addition, Chartis offers several benefits including medical, dental, vision, HSA, FSA, disability insurance, life insurance, 401(k) match, paid time off, wellness stipend, and additional voluntary benefits. At Chartis, we pride ourselves on having a diverse workforce. We value and celebrate the uniqueness of individuals and the different perspectives they provide. We offer equal opportunity employment regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, or protected veteran status.

JOB SUMMARY Iambic Therapeutics is seeking a Software Engineer to join the NeuralPLexer team, focusing on the engineering systems that enable machine learning research to translate into robust, scalable workflows for drug discovery. This role sits directly alongside ML scientists and emphasizes co-development: helping design, implement, and harden the workflows used to train, evaluate, and apply models on structural (e.g., protein–ligand complexes), affinity, and synthetic data. You will play a key role in turning research code into reliable, reusable systems—without being responsible for core model development. This is a remote position based on the US East Coast. KEY RESPONSIBILITIES Work embedded with ML scientists to co-develop and refine model training and evaluation workflows Translate experimental research code into maintainable, well-structured, and reusable systems Build and expand benchmarking systems for running models on structural and affinity datasets, computing metrics, and supporting reproducible evaluation Enable rapid iteration by developing tooling and interfaces that expose new capabilities to researchers Contribute to the ongoing development and productization of NeuralPLexer Collaborate with platform and infrastructure engineers on scaling workflows where needed, without owning core infrastructure Perform code reviews and actively mentor best practices in software engineering across the team Improve reliability, clarity, and reproducibility of ML workflows and supporting systems Communicate technical work effectively across a cross-functional research and engineering team QUALIFICATIONS Required 8+ years of software engineering experience (or equivalent), ideally in ML-adjacent or data-intensive environments Strong Python skills and demonstrated rigor in software engineering practices (testing, versioning, code quality) Experience working closely with ML practitioners or in research-driven environments Experience building or supporting ML workflows, data pipelines, or evaluation systems Ability to operate in partially defined, research-heavy environments and bring structure to evolving codebases Strong collaboration skills and comfort with pair programming and iterative development Preferred Experience with scientific or computational research environments Familiarity with structural biology, chemistry, or molecular modeling workflows Exposure to cloud-based systems (e.g., AWS, Kubernetes) and/or HPC Experience working with large-scale or heterogeneous datasets ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at _. MISSION & CORE VALUES Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

TXI is looking for Agile PMs, Designers, and Engineers eager to find purpose in their work by crafting meaningful digital products through continual experimentation, exploration, and pushing the boundaries of conventional norms. Building the right thing is often harder than building it right. More than 80% of digital innovations fail because they are not solving the real user need. We take a pragmatic approach to innovation by deploying integrated teams to uncover insights from users and turn them into compelling digital solutions. As a boutique strategy and product innovation firm, our capabilities include product discovery, delivery, and adoption. As a TXI consultant, you have an opportunity to shape and define the products that you build. You can influence how engagements run and collaborate with integrated teams to deliver products that matter. More importantly, you can use your passion for learning and continuous improvement to help our clients bring new concepts and products to market. Our business landscape evolves rapidly. While there might not be an open role on our site today, it doesn't mean there won't be one tomorrow. We understand that you might not return to our site later, so we're taking the initiative to open up this opportunity for you to express your interest. This ensures that you're considered for future roles! Don't hesitate to apply if you don't meet 100% of the qualifications below. If you’re someone who identifies as a motivated self-starter and loves to thrive in ambiguity, we want to hear from you! \n Here is what we (typically) expect from you • Possess experience as a full-stack engineer, designer (both UX and UI), or PM in Agile web or data-powered product development., • Ideally, have prior involvement in consulting or participation in discovery-driven custom product development teams., • Demonstrate professional and empathetic communication, engaging all stakeholders, including clients and team members, with a sense of curiosity., • Actively engage in soliciting and providing feedback to team members, offering assistance proactively, and ensuring alignment among all involved parties., • Embrace accountability, even in situations where initiative is not explicitly requested., • Work effectively within a collaborative, cross-functional team of developers, designers, and delivery managers., • Display a willingness to learn from individuals at all levels, regardless of their title or position., • Be open to occasional travel for client meetings., • While our team primarily operates remotely, we highly value opportunities for in-person collaboration and social connections. Hence, candidates based in Chicago, IL, or Denver, CO, where a significant portion of our team is located, are strongly preferred \n Who We Are We’re a curious and humble group of people who are intentional about personal growth and supporting each other’s careers. We’re always looking for new skills, frameworks, and approaches to deliver the most meaningful digital product experiences. And we’re constantly pushing ourselves to experiment, explore, and challenge assumptions. We bring that same passion for learning and growth to our clients, by digging into their organizations, reframing their problem statements, and spending time with their users. This ensures that we’re pushing our clients forward while developing and delivering valuable products that matter. _ (video) Some reasons why you might like working with us We have been recognized for both our internal employee experience and for delivering a trusted customer experience. At TXI, we are intentional about the way we work and how we support both our team and our clients. 1. We focus on Product Innovation by helping to envision initial new product concepts for our clients. We are core contributors to shaping the work that we do and the problems we're working to solve. In addition to that ideation stage, we get to help them bring these new concepts to market. We help both to build the right thing (design thinking and product discovery) and build the thing right (agile mindset and iterative approach)., 2. We care about DEIB (diversity, equity, inclusion, and belonging). To deliver the best solutions, we need as many bright and diverse minds in the room as possible, and we need to be able to learn from them once they’re there. That’s why we’re working to create an environment that’s inclusive for everyone. Learn more about our DEIB learnings, roadmap, and history: https://txidigital.com/deib, 3. We work in a variety of industries and encourage our team members to explore new domains, solve different kinds of problems, and adopt new technologies. There is no getting bored in our portfolio. You’ll work across life science, healthcare, EdTech, manufacturing, and nonprofits–just to name a few–and build web, mobile, and IoT solutions., 4. We work in integrated teams (and occasionally we will work as staff augmentation if there's a good rationale for it). At TXI, we seek to bring all of the good ideas to the table so you learn from the talented teammates you regularly pair with. Product, design, and engineering regularly collaborate., 5. We are intentional about supporting each individual's growth. "Challenge and support each other" is a core value of the company and we take that mission seriously. That's why every employee has a personal learning & development budget and a bi-weekly conversation with their manager about their progress–as well as why we created career grids to equitably promote each person's path at TXI., 6. We believe that wellness and a sustainable pace deliver the best outcomes. We commit to being dedicated partners to our clients for a sustainable 35 hours per week. We don't require regular travel or client on-site time, though there will be occasional in-person client meetings to move work forward. Our team members enjoy flexible schedules with a remote-first working environment and discretionary time off because we respect that everyone has a life outside of work., 7. We value transparency and open discussion. You will have a front-line view of the company's performance, risks and issues, finances, and budgets. With unique tools and facilitation techniques, we also regularly connect and discuss topics as a company to guide our path forward., 8. We build products that matter. We advance the causes and goals of our partners and consistently deliver outcomes for them. See some examples below. What We Make For over two decades, we've partnered with clients across industries to research, design, and develop award-winning custom web and mobile applications that make a meaningful impact. These impacts include: <> Transforming a data logger company to a global leader in tech-based environmental monitoring, driving the US industrial sector into Industry 4.0. <> Empowering healthcare providers with powerful digital products to enhance the quality of patient care, streamline administrative tasks, and improve overall healthcare outcomes <> Driving accountability and motivation for patients recovering from spinal surgery through integrated mobile app and wearable device on the patient’s lower back <> Improving prediction of patient enrollment in global clinical trials for life-saving drugs through the integration of advanced analytics and digital innovation <> Designing a digital experience to support LGBTQ+ 14-17-year-old youths who are facing societal and personal challenges prior to coming out, driven by evidence-based treatment and therapy plans But the work is just part of what makes TXI a rewarding place to be. We support one another’s interests—whether volunteering, organizing meetups, speaking at industry events, or learning new techniques and technologies. If there's something you're passionate about, we want you to pursue it so you can teach it to the rest of us. Our company Brunch & Learns, Sticky Note Game, and regular practice meetings are just some of the ways we create space for sharing, learning, and professional development. What We Offer We believe in equitable pay. In addition to base compensation, we offer a bi-annual bonus based on company performance as well as the following benefits, which are intended to take care of you (and the people you care about): • Generous paid time off, • Quality health insurance and medical travel benefit, • Paid parental leave policy (equal for all TXI parents), • 401k plan, including employer matching, • The option to work fully remotely with minimal client or onsite client work, • Company retreats and Quarterly days, both of which are a chance to connect in person and outside of the office, • Benefits for continuing education, donation matching, home office improvements, and renewable energy switching, • Employee Stock Ownership Program: TXI is 100% employee-owned through an ESOP, which grants shares of company stock to all employees as a retirement benefit Location While we do have a remote-first environment at TXI (with distributed team members in the US, Canada, and Europe who work from home), we have a strong preference for candidates who are located in or close to Chicago, IL (where most of our employees are based) as we encourage in-person collaboration and social connection. We communicate and collaborate effectively in a remote environment using tools like Miro, Notion, Slack, and Zoom. We also prioritize virtual bonding and emphasize inclusivity, autonomy, and trust while cultivating a safe and welcoming environment that is conducive to supporting a positive employee experience. While we encourage asynchronous communication, we often work in pairs or in collaboration sessions. Therefore, it is important to have some core hours of overlap with our clients and your fellow team members. Please also note that our consultants may have to travel on occasion to meet with clients. Regardless of where you are living and working, all TXIers have multiple opportunities throughout the year to meet and hang out in person to continue building those connections. We take equality seriously TXI is proud to be an equal opportunity workplace and is committed to equal opportunity employment without regard to race, religion, color, gender (including gender identity, change of sex, and transgender status), sexual orientation, age, disability, ancestry, national origin, military or veteran status, marital status, genetic information or any other characteristic protected by applicable law.

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST). Requirements • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule. Nice-to-Haves • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar). Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits _. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don’t give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's and _ By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at _. As a Senior DevOps Engineer at Sword Health, you'll own and evolve the infrastructure that powers the world's leading AI Care platform. Working across a multi-cloud environment, you'll build and maintain the systems behind our frontends, backends, microservices, and data pipelines - collaborating closely with multiple engineering teams to keep everything reliable, scalable, and fast. You'll also interface with our AI teams as their models move into production, ensuring the infrastructure is ready to support them. If you thrive in cross-team environments and want your infrastructure work to directly impact healthcare at scale - we'd love to hear from you. • Design, implement, and maintain scalable, resilient infrastructure to support Sword Health’s high-demand applications and services., • Automate and streamline deployment processes, CI/CD pipelines, and routine maintenance tasks to enhance efficiency and reduce downtime., • Monitor and optimize system performance, proactively identifying and resolving issues to ensure high availability and reliability., • Collaborate closely with development, data, and security teams to ensure seamless integration of infrastructure and code changes., • Drive security best practices by implementing and managing access control, network security, and compliance-related policies across the infrastructure., • Lead incident response and troubleshooting for infrastructure-related issues, ensuring rapid and effective resolution to maintain service continuity., • Mentor and guide junior team members, sharing DevOps best practices and fostering a culture of continuous learning and improvement within the team., • Stay up-to-date with industry trends and emerging technologies, bringing innovative solutions to Sword Health’s DevOps processes and toolchains., • Experience with Linux environments., • Experience with DevOps and GitOps methodologies., • Experience with Kubernetes and Containerized applications (Docker)., • Experience with Infrastructure as Code (Terraform)., • Experience with Monitoring Tools (Google Cloud Monitoring/StackDriver, Grafana, Prometheus/AlertManager, NewRelic)., • Experience with Jenkins., • Experience with CI/CD., • Team player, Solution-oriented, Proactive attitude with “Get Things Done” mindset., • Enthusiast and interested in technologies and innovation., • Fluent in English (written and oral)., • Extra: Experience/Knowledge with Kafka, Prometheus/AlertManager, Grafana, Elasticsearch/ Logstash/ Kibana, Vault, Redis, MySQL, DNS., • Extra: Experience with PHP, Javascript, GoLang., • Extra: Experience provisioning servers and services using AWS, Azure, or GCP., • Extra: Experience/Knowledge with Istio., • Extra: Good know-how about Cloud Networking including VPC Management, Routing, NAT, and overall troubleshooting using TCPdump analysis., • A stimulating, fast-paced environment with lots of room for creativity;, • A bright future at a promising high-tech startup company;, • Career development and growth, with a competitive salary;, • The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;, • A flexible environment where you can control your hours (remotely) with unlimited vacation;, • Access to our health and well-being program (digital therapist sessions);, • Remote or Hybrid work policy., • To get to know more about our Tech Stack, check _. $140,000 - $220,000 a year *This range includes base, variable and equity These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact. Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below. US - Sword Benefits & Perks: • Comprehensive health, dental and vision insurance• Life and AD&D Insurance• Financial advisory services• Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)• Health Savings Account• Equity shares• Discretionary PTO plan• Parental leave• 401(k)• Flexible working hours• Remote-first company• Paid company holidays• Free digital therapist for you and your family *Eligibility: Full-time employees regularly working 25+ hours per week Note: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided. SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.