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Job DescriptionWhile we don't currently have roles open on our performance team, we're always on the lookout for incredible people, and slowly building a pipeline of candidates for our Performance Technician position. If you feel your experience and interests align with the following, and you're passionate about the space we're in and the athletes we serve, feel free to leave your résumé with us here. The Performance Technician is a part-time, hands-on role responsible for the administration of performance testing batteries within our sports science facility. This position supports a critical tier of our holistic human performance assessment, producing key metrics used by our medical and performance teams. As the in-person representative of our organization, the Performance Technician plays a pivotal role in delivering an exceptional member experience. The role involves direct engagement with elite and avid athletes, guiding them through sport-specific performance tests in a way that is clear, engaging, and aligned with their goals. We’re looking for someone with high energy and enthusiasm—someone who can keep members engaged, motivated, and excited throughout the full assessment experience. Technicians are expected to follow standardized procedures, operate cutting-edge sports science technologies, collect and organize performance data, and summarize key findings for internal stakeholders. Success in this role requires a strong background in coaching, customer service, sports science, and exercise physiology, as well as a deep appreciation for holistic health and wellness in the context of athletic performance. This position is based in San Francisco.Education & Certifications • Bachelors in Kinesiology/Exercise Science, or similar, • Certified Personal Trainer, Certified Strength & Conditioning Specialist, Clinical Exercise Physiologist, or similarExperience, • 2+ years experience as a Sports Scientist, Sports Performance Coach, or Personal Trainer, using data to drive clinical/performance decision making2+ years experience in a customer relationship rolePersonality, • Natural Leader: Unique ability to open doors in the potential of others, guiding them and supporting them toward their best, • Adaptable Conversationalist: Highly sociable, with an organic ability to form quick relationships; can quickly read the personality-type of a member, and adapt conversation style & tone accordingly, • Consistent Bringer of Energy: Contagious enthusiasm, that motivates members to engage and participate to the top of their abilities; consistently creates a lively environment, • Detail Oriented: Incredibly organized and attentive to detail, meticulous in assessment setup, flow, delivery, and data collection; thrives in a repeatable system mentality, • Confident Salesperson: Can comfortably explain the “why” of granular tests and holistic health, in a way that is individualized and sports-specific, • Health and Performance Obsessed: walks the talk of our members; active to the point of obsession, dialed and focused on personal holistic health principles (nutrition, sleep, mental health), believes and practices the necessity of taking proactive steps to improving life-long athleticismNice to Have, • Personal experience as an avid athlete or endurance sport competitor (specifically running or cycling), • Familiarity with DEXA body composition analysisResponsibilities, • Administer the sports specific testing batteries for members, including tests specific to mobility, motor control, strength, power, and aerobic capacity, • Learn and perfect the standard operating procedures of the test batteries (setup, directions, cues), ensuring the overall testing experience is seamless and repeatable, • Efficiently and accurately organize all data and results into the internal athlete management system, • Collaborate cross functionally with the medical and performance team, to ensure the athlete’s performance (both quantitative and qualitative) is fully understood, • Continually research performance tests, to assist in perfecting the companies testing batteries from an evidence based lens

Job DescriptionCompany Description 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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Key Responsibilities • Execute in vitro or ex vivo experiments to validate novel targets using cell lines & primary human cell sources., • Perform cell culture (suspension & adherent) & assays including but not limited to: DNA/RNA/protein purification, siRNA/CRISPR knockdowns, Lentiviral transfections, immunoprecipitation, WES, western blot, ELISA, MSD, HTRF, quantitative PCR, protein degradation & colorimetric assays., • Collect, analyze, & summarize data for presentations, & reports., • Maintain an up-to-date understanding of new technologies & relevant scientific advances in tumor dependencies & its roles in cancer from literature & scientific meetings.Qualifications Education & Experience Must have a Master's degree in Cellular & Molecular Biology, Cancer Biology, Pharmaceutical Sciences, Pharmacology, or related field & 2 years of experience as a Scientist. Of experience required, must have 2 years: (i) performing mammalian cell culture in a biosafety level 2 environment; (ii) performing (a) western blotting, immunoprecipitation, WES, or ELISA, (b) DNA/RNA isolation, RT-PCR, separation techniques for primary cells, & (c) gene expression analysis; (iii) handling & processing human tissue samples for biological assays; & (iv) developing, optimizing, & troubleshooting cell-based assays. Of experience required, must also have 1 year: (i) manipulating gene expression by CRISPR methods in cancer cell types; (ii) utilizing the biological data analysis software tool: GraphPad Prism & at least one of the software tools: Excel, Image Studio, Spotfire, or Compass; & (iii) documenting experimental procedures & methodologies for regulatory filings. Work experience may be gained concurrently. Additional Information Salary: $125,508.24 - $138,500.00 per year Apply online at or send resume to . Refer to Req ID: REF49651Z 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 short-term and long-term incentive programs. AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. 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 US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description About Us Catalyst Labs is a specialized talent partner with a focus on recruiting top-tier engineers across Software, Data, and AI-driven domains. We are deeply embedded in our clients’ technical hiring operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems Our Client: A fast-growing technology company that embeds top engineering talent directly into customer environments to solve high-impact operational and data challenges. They help enterprises rapidly build and scale mission-critical applications that drive measurable business outcomes. The company bootstrapped to generate $25M in revenue and raised $6.7M in total funding, supporting its continued growth and expansion. Location: Hudson Yards, NY Work type: Full time, Hybrid (travel required 10 to 30% of the time) Overview This role is centered around partnering directly with customers to solve their most valuable and complex problems. As a Forward Deployed Software Engineer, you will work hand-in-hand with stakeholders to design, build, and maintain high-impact applications that drive real business change. Your day-to-day work involves understanding mission-critical objectives, transforming enterprise data into operational workflows, and delivering tools that executives and frontline teams rely on to make informed decisions. You’ll move fast rapidly iterating, building systems from scratch, and enabling organizations to modernize their operations at exceptional speed. Beyond writing code, you will play a key role in reshaping how entire teams operate by delivering powerful, data-driven solutions that directly influence business outcomes. Key Responsibilities * Work closely with customer stakeholders to understand their most critical business objectives and translate them into high-impact technical solutions. * Architect, develop, and maintain applications that operationalize enterprise data and drive measurable business outcomes. * Build end-to-end workflows using large structured and unstructured datasets in production environments. * Iterate rapidly, often building systems from scratch, to help customers transform their operations at exceptional speed. * Collaborate directly with executives, operators, and cross-functional teams to deploy tools that meaningfully improve business processes. * Own projects autonomously taking full responsibility for delivery, implementation, and long-term success. * Embed with customer teams as needed, providing both technical expertise and on-the-ground support. * Travel to client sites as required (typically 10 to 33%) to support implementations and ensure successful adoption. * Work hybrid/on-site at company offices (London, New York, Washington D.C., or Denver) and at customer locations during key phases of deployment. Qualifications Required * Bachelor’s or Master’s degree in Computer Science or a related field. * 1 to 5 years of experience as a fullstack engineer, data engineer, or FDE * Strong analytical and problem-solving skills, with the ability to break down complex challenges and deliver practical, production-ready solutions. * Proficiency in Python and/or TypeScript. * Demonstrated experience building applications that leverage large datasets in real-world production environments. * Proven track record of delivering measurable outcomes through codewhether as a software engineer, data scientist, or technical analytics lead. * Ability to work independently and own outcomes end-to-end while also collaborating effectively with technical and non-technical stakeholders. * Excellent communication and interpersonal skills to work closely with customers and internal teams. * Willingness to travel for customer implementations (10 to 33% depending on project). * Enthusiasm for working hybrid-in-person at one of the company’s office locations and onsite with customers. Preferred * Experience working with Palantir Foundry and/or AIP. * Experience delivering production ML or LLM-based solutions. * Experience building production React frontend applications. * Familiarity with Spark, distributed computing, or large-scale data processing frameworks. Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent to ensure your confidentiality throughout the hiring process

Job DescriptionAbout Multiply LabsMultiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About this Role We are seeking a highly motivated scientist who will contribute significantly to the advancement and validation of our automated processes. This role primarily involves hands-on laboratory work, where you will directly contribute to improving the efficiency, accuracy, and reliability of our robotic systems. This will provide you with a deep, intimate understanding of the intricacies of our technology. Beyond the lab, you will also serve as a key Multiply Labs representative during system deployments at customer sites. This will involve working directly with clients to ensure seamless integration and optimal performance of our robotic solutions, offering an exciting opportunity to apply your expertise in real-world settings and to contribute directly to customer success. Essential Duties & Responsibilities • Experiment Planning and Execution: Assist in experiment design and execution, perform statistical analysis, and present data., • Cluster Deployment Support: Act as the onsite biology team representative during the deployment of robotic systems at both domestic and international customer sites. This includes providing assistance and training to customer personnel on automated processes., • Cross-functional Collaboration: Work with other teams in improving and implementing automated processes., • Laboratory Maintenance: Assist with routine laboratory tasks, such as maintaining cell cultures, equipment, inventory, and documentation.Minimum Qualifications, • Degree in a relevant scientific discipline (e.g., cell and molecular biology, biochemistry, immunology, biomedical engineering):, • Bachelor’s degree and 4+ years of relevant experience; OR, • Masters’ degree and 2+ years of relevant experience, • Proficiency in an experimental biology laboratory, including:, • Hands-on experience performing experiments, • Data analysis and interpretation of results, • Ability to plan and execute experiments independently, • Expertise in common laboratory techniques (e.g., cell culture, media preparation), • Familiarity with standard safety procedures and sterile techniques (e.g., proper PPE, aseptic handling), • Effective troubleshooting of experimental issues and technical failures, • Proficiency in aseptic techniques: including working efficiently within a Biological Safety Cabinet (BSC), proper handling of sterile reagents and supplies, and routine visual and microscopic monitoring to prevent microbial and cross-contamination of cell lines., • Proficiency in human blood processing, including:, • Experience in handling and manipulating whole blood or apheresis-collected components (e.g., PBMCs, stem cells), • Post-collection processing for downstream cell expansion protocols (e.g., isolating specific cell populations, immediate culture initiation, or cell cryopreservation), • Proficiency in T cell isolation from peripheral blood or apheresis products using both positive and negative selection methods, coupled with experience in T cell activation and expansion protocols, • Proficiency using Google Workspace for managing large collaborative data trackers (Sheets) and creating formal technical reports (Docs/Slides), • Proficiency using GraphPad Prism to independently perform advanced statistical tests (e.g., ANOVA) and generate publication-quality data figures, • Possess excellent verbal and written communication skills with the ability to clearly convey complex scientific information (including customer processes and technical requirements) to both scientific audiences and non-scientific internal staff to ensure alignment and effective collaborationFlexibility and adaptability in the face of changing priorities and schedules, • Organizational skills, time management, administrative, and data recording skills., • Ability to prioritize tasks, multi-task, and coordinate work tasks with others and meet multiple deadlines., • Ability to travel to international and domestic customer sites as needed., • Ability to stand for long periods of time and move comfortably in confined systems within our robotic systems (~2.5m x 1m, with further restrictions depending on robot location). Preferred Qualifications, • Hands-on experience working within a GxP (GLP/GMP/GCP) laboratory environment, with a proven ability to consistently follow Standard Operating Procedures (SOPs) and maintain meticulous records. Familiarity with FDA and EMA regulations and guidance concerning documentation, data integrity, and quality control systems relevant to the development and manufacturing process., • Proficiency in the operation, programming, and troubleshooting of laboratory automation equipment (e.g., liquid handlers) and closed, automated cell therapy manufacturing platforms (e.g., CliniMACS, Rotea). Physical & Working Conditions, • Ability to lift up to 25 pounds (e.g., equipment, materials) and lift up to 5 pounds overhead., • Ability to stand or sit for long periods of time while performing lab tasks, operating specialized equipment, using a microscope, and analyzing data/preparing presentations; this includes the potential need to stand inside a robotic cluster for maintenance or intervention when necessary., • Ability to reach, stoop, crouch, and kneel while performing lab tasks; this includes the potential need to crouch or kneel inside a robotic cluster for maintenance or intervention when necessary., • Must possess excellent manual dexterity and fine motor skills for repetitive tasks such as precise pipetting, small-scale cell culture manipulation, and operating complex instrumentation., • Work is primarily performed in a laboratory setting which requires strict adherence to safety protocols (e.g., Biosafety Level 2)., • Potential exposure to hazardous materials, including biological agents (e.g., human samples, cell lines) and cryogenic materials (e.g., liquid nitrogen)., • Required use of Personal Protective Equipment (PPE), including lab coats, safety glasses, and gloves for extended periods., • This role requires the ability to work a standard schedule, but may necessitate occasional evening or weekend work to complete time-sensitive experiments (e.g., process dependent media addition or exchanges, sampling)., • Some roles may require on-call availability or work during non-standard business hours depending on the nature of the research or manufacturing schedule.Travel, • While our headquarters is located in San Francisco, CA, this position will require up to 25% domestic and international travel. Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. We're looking for someone who thrives at the intersection of data and product — someone who brings solid analytical skills, experience with experimentation, and curiosity to uncover insights that shape product strategy. You should be comfortable working with SQL and R or Python, designing and analyzing A/B tests, and translating data into actionable recommendations for product teams. Please note this is a hybrid role that requires 3 days/week in our SF office. Fully remote candidates will not be considered at this time. What You'll Do • Partner with product and engineering teams to evaluate product opportunities through A/B testing, data analysis, and customer insights, • Contribute to the design, implementation, and analysis of experiments — ensuring correct setup, sufficient power, and clear interpretation of results, • Conduct exploratory analyses to uncover patterns in customer behavior and product usage that inform product strategy, • Define and track product and customer metrics to measure success, and help build dashboards and reporting that make insights accessible to product managers and stakeholders, • Collaborate with data engineering to ensure data pipelines and DBT models are accurate, reliable, and well-structured for downstream use, • Communicate insights in a clear, compelling way to cross-functional partners, making data actionable for product decisionsWho You Are, • You have 3-4 years of experience in product analytics, data science, or applied statistics, preferably in a SaaS or product-focused environment, • You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering, • You are proficient in SQL and have experience using either Python or R for data analysis, • You have hands-on experience with A/B testing and statistical analysis, and are motivated to grow into more advanced methods over time, • You bring strong business intuition and curiosity, and can translate questions into structured analytical approaches, • You're a clear communicator who can frame findings for both technical and non-technical audiences, • You enjoy working cross-functionally and are energized by using data to improve customer outcomesWhy You'll Love This Role, • Gain hands-on experience influencing product direction through experimentation and analytics, • Build your expertise in product data science with mentorship and collaboration from senior data scientists, • Join a company where data science is a core part of the product development lifecycle Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$88,000—$132,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionOur client a world leader in Pharmaceutical Research & Development is seeking a Senior Clinical Science Specialist with ideally, experience in rare blood disorders. • Monitor patient eligibility, safety, and data and initiate appropriate action as appropriate, • Ensure detail-oriented contributions are of high-quality and in compliance with regulatory requirements, • Provide input in all stages of the clinical trial, from start-up to close-out, • Scientifically support Clinical Development Phase 1, 2, 3; Data cleansing and analysis.REQUIREMENTS, • BA/BS, • Advanced Clinical/Science Degree preferred (ei; PharmD, PhD, MSN, MPH), • 2-5 years experience as Clinical Scientist, • At least 4 years of Clinical Trial experience; Phase 1, 2, 3, • Extensive experience with data analysis and review, • Strong computer skills; Microsoft Office Suite (Word, PowerPoint and Excel), EDC RAVE, Spotfire, • Occasional travel.Relocation Assistance Available: Yes

Job DescriptionCompany Description 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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description AbbVie’s global Information Research (IR) group has a mission to unlock information that makes cures possible. Within IR, the Enterprise Knowledge Accelerator (EKA) team is the trusted knowledge partner for clients in R&D and the Corporate Business & Strategy Office (CBSO). EKA drives innovation and enhances knowledge-sharing across the value chain, for better and faster decisions that impact advancement in our pipeline. The team is a global organization, with presences at the Lake County, Illinois headquarters and Boston, Massachusetts areas (US), as well as the Ludwigshafen site (Germany). Leveraging cutting-edge technologies and scientific expertise, we deliver industry-leading capabilities to harness insights from published content for high-impact decision-making. Our team possesses the scientific and technical expertise to utilize and provide guidance on a wide range of knowledge sources, ensuring high-quality answers for our clients. The Data Scientist will join the Solutions for Published Insights and Client Enablement (SPICE) team, supporting AbbVie’s R&D, CBSO and other business functions enterprise wide. SPICE provides business partnership, resource consultancy, ad-hoc research support for business-critical questions, knowledge and insights mining and analysis, as well as designing and building innovative self-service solutions for insights generation from published resources and internal knowledge. This includes literature, patent, conference, news, clinical trial, and competitive intelligence data such as competitor pipelines. The Data Scientist should have sufficiently strong background in both science and technology to fulfil this role and demonstrate high motivation to expand their knowledge in a pharma context and as SME for key client groups. The role is expected to collaborate effectively within SPICE, EKA, and the larger IR organization, driving impactful results for all of AbbVie. Responsibilities include developing novel AI-based capabilities for extracting, harmonizing, and monitoring published clinical trial data, real-world evidence, and other competitive insights. They will closely collaborate with internal expert teams to define requirements and integrate manually curated data and insights, thereby supporting pipeline strategy, corporate strategy, and commercial teams with essential intelligence for advancing AbbVie’s pipeline. . Responsibilities * Leverage scientific domain and technical knowledge to support clients across AbbVie with the most relevant information and published insights for decision-making. Key focus: Competitive Intelligence, Corporate and Pipeline Strategy groups and data. * Build and design new methods and automated workflows to systematically identify, extract, normalize and database key insights and evidence from publications as well as other published sources using GenAI and other state-of-the-art technology and data science solutions * Work with key stakeholders and expert teams to identify novel sources for manually curated competitive intelligence and clinical trial data and integrate in existing workflows to democratize access across AbbVie * Support efforts for streamlining AbbVie’s systematic literature review process and knowledge extraction from (full-text) publication resources * Provide unique scientific insights and expertise by designing and developing solutions for finding, extracting, curating, and visualizing knowledge from published and internal data * Monitor and be attuned to new technology trends relevant for knowledge analysis and insights discovery * Achieve great results, while overwhelmingly demonstrating key AbbVie values and behaviors. Qualifications Required: • Bachelor’s degree (with 5 years of experience), Master’s (4 years), or Ph.D. (0-2 years) in life sciences, medicine, pharmacy, bioinformatics, biomedical/clinical data science, or related field, • Solid scientific domain knowledge in late-stage pharmaceutical development—Medical Affairs, Clinical Development, Pharmacovigilance, HEOR, Epidemiology—proven by education or work experience, • Solid programming and informatics/data science/computer science background. Proficiency in Python., • Experience analyzing publications, especially scientific literature, • Proven ability to translate complex scientific or clinical questions into actionable solutions and insights, • Initial experience with data consolidation, standardization, optimization, or exploratory data analysis, • Experience with relational databases and SQL (e.g., Oracle, Apache Hadoop), • Strong analytical skills to process, analyze, visualize, and present results, • Systematic problem-solving mindset, reliability, superior attention to detail, • Good communication skills for interdisciplinary teams and various audiences, • Good organizational skills: balance taking direction (from sponsors, partners, clients) with initiative for multiple projects, • Comfortable working in a dynamic, collaborative, fast-paced environment with constantly shifting priorities, • Innate scientific curiosity, technical creativity, and innovative thinking. Motivated to break new ground in the field of information analysis and insights generation., • Pharmaceutical industry experience., • Experience with front-end technologies (HTML, JavaScript, CSS, React), • Basic working experience with Linux/Unix-based OS and Docker, • Experience with GenAI models for knowledge extraction, their pitfalls, prompting and embedding them within Python workflows, • Basic understanding of agents/agentic workflows (MCP, A2A), • Experience with drug pipeline or trial competitive intelligence databases (e.g., Clarivate’s Cortellis, Citeline’s Trialtrove, Pharmaprojects), • Experience with data pipeline frameworks, text mining, NLP, semantic enrichment, ontologies, or data mining, • Knowledge of technologies for retrieval, analysis, and visualization (e.g., REST APIs, XML, JSON, Python libraries like Pydantic) 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 this posting 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 short-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 and until 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 US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionAircall is the world’s leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the teamOur Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the roleAs a Senior Data Analyst, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.Your mission @ Aircall: • Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention, • Provide actionable insights and compelling narratives to influence major decisions at the C-level, • Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact, • Work closely with data engineers to continuously improve the data stack, governance practices, and analysis qualityA little more about you:, • 5+ years of hands-on technical experience in a high growth environment, • Proficiency in SQL for deriving insights, • Proficiency in Python, • Data-driven, structured and solution oriented with extensive experience in building rigorous experiments, • Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels

Job DescriptionCompany Description 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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description AbbVie’s global Information Research (IR) group has a mission to unlock information that makes cures possible. Within IR, the Enterprise Knowledge Accelerator (EKA) team is the trusted knowledge partner for clients in R&D and the Corporate Business & Strategy Office (CBSO). EKA drives innovation and enhances knowledge-sharing across the value chain, for better and faster decisions that impact advancement in our pipeline. The team is a global organization, with presences at the Lake County, Illinois headquarters and Boston, Massachusetts areas (US), as well as the Ludwigshafen site (Germany). Leveraging cutting-edge technologies and scientific expertise, we deliver industry-leading capabilities to harness insights from published content for high-impact decision-making. Our team possesses the scientific and technical expertise to utilize and provide guidance on a wide range of knowledge sources, ensuring high-quality answers for our clients. The Senior Data Scientist will join the Solutions for Published Insights and Client Enablement (SPICE) team, supporting AbbVie’s R&D, CBSO and other business functions enterprise wide. SPICE provides business partnership, resource consultancy, ad-hoc research support for business-critical questions, knowledge and insights mining and analysis, as well as designing and building innovative self-service solutions for insights generation from published resources and internal knowledge. This includes literature, patent, conference, news, clinical trial, and competitive intelligence data such as competitor pipelines. As a Senior Data Scientist on the Solutions for Published Insights & Client Enablement (SPICE) team, you will serve as the lead data scientist focused on advancing AbbVie’s competitiveness by driving Therapeutic Modality Knowledge & Intelligence Solutions. You will lead the creation of new methods and algorithms for extracting, harmonizing and proactive monitoring of knowledge on emerging therapeutic approaches, critically evaluate new technologies and scientific advances, and integrate them into impactful business solutions, to set AbbVie up for future success in a competitive landscape. You will play a critical role in identifying and filling strategic knowledge gaps around emerging therapeutic modalities—including genetic medicines, innovative biotherapeutics, and RNA therapies—through the design and implementation of innovative GenAI-based and agentic knowledge solutions. Your leadership will enable AbbVie to leverage high-value insights extracted, harmonized, and integrated from literature, patents, news, and competitor intelligence. In this role, you will collaborate cross-functionally with other EKA/IR and business teams to develop and deploy AI-powered and data science solutions that support AbbVie’s pipeline strategy, corporate strategy, and R&D initiatives. The position requires a strong background in both science and technology, and the ability to rapidly learn and adapt to new scientific advances in therapeutic modalities and information technology (such as generative AI solutions and AI agents), given the dynamic and expanding landscape. Responsibilities * Conceive, design, and implement advanced AI-powered published insights solutions (incl. agentic workflows) that address significant scientific and strategic trends and knowledge gaps in therapeutic modalities. * Develop and deliver innovative, high-quality intelligence solutions that systematically extract, analyze, summarize, integrate and proactively monitor key knowledge about novel therapeutic modalities (such as gene/cell therapies and innovative RNA or antibody-based drugs) to address urgent scientific and business needs. * Apply broad expertise in knowledge & information science, Generative AI/NLP, data warehousing, and software development to build robust data pipelines and analytical workflows for large and complex published (often unstructured) data, including literature publications, patents, news/press releases, and competitor pipelines. * Demonstrate deep knowledge of pharmaceutical R&D, drug development, and therapeutic modality trends * Operate with high autonomy and productivity, proactively tackling complex problems and driving multiple projects with minimal supervision. * Pursue and evaluate relevant external and internal leads in novel modalities, new technologies, and data sources—rapidly incorporating new findings into project strategies and generate novel, actionable insights for R&D and business strategy. * Collaborate cross-functionally with scientific, corporate strategy, and other R&D teams to ensure solutions meet real-world needs, fill knowledge gaps, and democratize access to key intelligence. * Mentor or supervise junior data & information scientists * Stay at the forefront of emerging trends, methodologies, and technologies that can advance therapeutic modality & competitor intelligence at Abbvie. * Author high-impact presentations and publications, communicating findings to diverse audiences. * Ensure adherence to AbbVie’s standards of compliance, data security, GxP, and code of conduct. * Achieve great results, while overwhelmingly demonstrating key AbbVie values and behaviors. Qualifications Required: • PhD (with 4+ years relevant experience) in life sciences (biology, pharmacology, chemistry, biotechnology, bioinformatics, pharmacy, medicine, biomedical data science, or related). Equivalent experience considered at Master's (10+ years) or Bachelor's (12+ years) level., • Deep knowledge of emerging therapeutic modalities, such as biotherapeutics (ADCs, mAbs, multispecific antibodies, cell therapies, etc.), different types of degraders, gene therapies (AAV, lentiviral, CAR-T, CRISPR, etc.), RNA therapies (mRNA, siRNA, ASO), as shown in recent industry advances, • Demonstrated leadership in designing and delivering creative technology solutions that advance business and scientific objectives; proven ability to translate complex scientific/business questions into actionable, large-scale information solutions., • Solid background in programming, informatics, and data science. Proficiency in Python required., • Hands-on expertise with extraction and integration of knowledge from literature, patents, competitive intelligence databases (e.g., Citeline, Cortellis), and news/press release sources., • Competence in using GenAI models for knowledge extraction (including prompting, pitfalls, etc.)., • Ability to rapidly learn and adapt to new advances in therapeutic modalities and information technologies and balancing multiple projects with shifting priorities., • Strong analytical, organizational, and problem-solving skills, with superior attention to detail and high degree of reliability and integrity., • Excellent written and oral English communication skills; proven ability to present complex concepts clearly to scientists, non-scientific audiences and different leadership levels, • Pharmaceutical industry experience., • Experience working in fast-paced, dynamic, multidisciplinary, and collaborative settings and global teams., • Familiarity with data engineering, software development principles, relational databases and SQL (e.g., Oracle, Hadoop) as well as common formats/APIs (REST, XML, JSON, Python libraries like Pydantic)., • Experience with embedding Gen AI models in larger Python-based workflows to automate knowledge extraction tasks., • Basic understanding of agents and agentic workflows (MCP, A2A). 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 this posting 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 short-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 and until 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 US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer’s journey from day one, this role is an ideal match. WHAT YOU WILL DO * Deploy Mithrl into customer private clouds including AWS, Azure, or GCP * Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns * Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation * Validate deployed environments through functional, performance, and scientific smoke tests * Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments * Implement automation and internal tools that make deployments faster, more reliable, and more repeatable * Serve as a technical advisor to customers during onboarding and through early product adoption * Document deployment guidelines, architecture templates, and integration playbooks * Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements * Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications * Strong experience with cloud environments such as AWS, Azure, or GCP * Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups * Software engineering fundamentals and proficiency in Python or a similar language * Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes * Ability to diagnose and resolve issues involving networking, storage, compute, and configuration * Experience working directly with external stakeholders in highly technical environments * Excellent problem solving skills and the ability to adapt quickly in complex customer deployments * Strong communication skills and ability to build trust with customer teams Nice to Have * Experience integrating ML or data heavy platforms into enterprise environments * Experience with Terraform or CloudFormation * Experience with secure data environments, regulated R&D teams, or biotech customers * Familiarity with scientific computing or R&D workflow tools * Experience writing internal tools, automation scripts, or lightweight backend services WHAT YOU WILL LOVE AT MITHRL * High ownership and impact: You will work directly with leading pharma and biotech organizations on real deployments. You will solve complex problems across cloud, networking, security, and systems engineering. You will have enormous ownership over how Mithrl operates in customer environments * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionAbout Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact. About the Role We’re hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed.What you will do • Explore clinical, operational, and patient engagement data to surface actionable insights, • Analyze routing, capacity planning, and supply-demand dynamics across regions, • Identify drivers of preventive care engagement and patient follow-through, • Predict cancellations, risk, and future care needs using behavioral and clinical signals, • Design and evaluate A/B experiments across product, growth, and operations, • Support internal teams with dashboards, analytics, and ad hoc decisions, • Help shape the Data function’s standards, tooling, and processes as an early leaderWhat you have done, • 5+ years in data science, advanced analytics, or applied data modeling, • Worked with large, messy datasets to answer ambiguous, high-stakes questions, • Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar, • Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift, • Influenced product, ops, or strategy decisions through data insight and storytelling, • Presented findings to leadership and collaborated with cross-functional teamsWhat gives you an edge, • Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana), • Exposure to GCP data tools like BigQuery, DataFlow, or DataForm, • Familiarity with healthcare data (claims, HL7, CCDAs, HIEs), • Experience with logistics, routing, or operational optimization problems, • Designed or analyzed growth experiments or user behavior funnels, • Communicated insights to C-level stakeholders or mentored junior talentOur Tech Stack, • Python, • SQL, • Superset, Looker, Tableau, Grafana, • BigQuery, Snowflake, Redshift, • Elasticsearch / Kibana, • FHIR, HL7, claims data (bonus), • Pandas, Scikit-learn, DataForm, DataFlowWhat we offer, • Meaningful pre-IPO equity, • Medical, dental, and vision plans 100% paid for you and your dependents, • Flexible PTO + 10 paid holidays per year, • 401(k) with match, • 16-week parental leave policy for birthing parent, 8 weeks for all other parents, • HSA + FSA contributions, • Life insurance, plus short and long-term disability coverage, • Free daily lunch in-office

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. We're looking for someone who thrives at the intersection of data science and product development, someone who pairs deep statistical rigor with product intuition, and can fluidly move between building complex models in R or Python and advising product leaders and executives on strategic decisions. You should be just as comfortable designing and validating a causal inference framework as you are communicating its implications to stakeholders across the company. Please note that this is a hybrid role that requires 3 days/week in our SF office. Fully remote candidates will not be considered at this time. What You'll Do: • Partner with product and engineering teams to identify and evaluate high-impact product opportunities through rigorous experimentation, causal inference, and predictive modeling, • Lead the design, implementation, and analysis of experiments — including A/B tests and multivariate tests — ensuring sufficient power, correct statistical methods, and actionable recommendations, • Conduct statistical research projects to uncover patterns in customer behavior, evaluate product performance, and identify causal relationships — using methods such as Mixed Effects Models, Difference-in-Differences, clustering algorithms, and time series analysis to guide product strategy and decision-making., • Define the right product and customer metrics to measure success, and build scalable, self-serve analytics tools and dashboards that enable product managers and cross-functional stakeholders to make data-informed decisions independently., • Collaborate with data engineering to define and implement reliable data pipelines and DBT models that ensure clean, well-structured, and trustworthy data for downstream analysis and self-serve use., • Communicate insights clearly and persuasively to cross-functional stakeholders, from product teams to executive leadershipWho You Are, • You have 7+ years of experience in data science, product analytics, or applied statistics, preferably in a B2B SaaS or product-focused environment, • You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering, • You are highly proficient in SQL and either Python or R, and comfortable using DBT for analytics engineering, • You have deep expertise in experimentation and statistical analyses., • You bring strong business intuition and the ability to translate ambiguous questions into clear analytical plans, • You work with speed and focus, balancing analytical rigor with the urgency and iteration cadence of product development, • You are a compelling communicator who can frame complex statistical findings into product-relevant insights, • You thrive in cross-functional settings and are energized by using data to drive product decisions that improve customer outcomesWhy You'll Love This Role, • Influence the direction of a high-impact product area and help define how success is measured, • Work alongside a world-class data team where experimentation and modeling are first-class tools, • Join a company where data science is embedded in the product development lifecycle, not siloed as reporting support, • Be part of a culture that values intellectual rigor, collaborative problem-solving, and continuous learning We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here 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. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$142,400—$213,600 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. We’ve brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a research scientist focused on rodent behavior and neural imaging at Nudge, you will: * Design and execute experiments in rodents to characterize the effects of ultrasound neuromodulation on brain circuits and behavior * Collect and analyze behavioral and neural data, with techniques such as electrophysiology, calcium imaging and/or fiber photometry * Develop and validate experimental paradigms linking neural activity changes to behavioral and physiological responses with clinical relevance * Optimize ultrasound stimulation parameters for specific brain circuits and cell types to achieve targeted neuromodulation * Translate preclinical findings to inform human neuromodulation studies About you * PhD or postdoc in neuroscience, biomedical engineering or similar engineering discipline * Exceptional proficiency in ultrasound neuromodulation, functional ultrasound neuroimaging, optogenetics, electrophysiology, two-photon microscopy, or fiber phototometry in animal models * Experience with automated behavioral tracking and analysis or computational analysis of neural + behavioral data * Experience designing experiments informed by ultrasound physics and acoustic field modeling is preferred * Demonstrated history of exceptional technical contribution

Job DescriptionOur Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Role: Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. As a DS I on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience. Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools. An effective DS I at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder. Where you’ll work:This is a hybrid role and requires in-office collaboration two times per week, in LA, SF, or Palo Alto. In this role, you will: • Partner closely with Product, Engineering, and Policy to support Integrity initiatives through data analysis, experimentation, and measurement., • Analyze user behavior related to Integrity and safety initiatives to inform product decisions. Proactively monitor product performance and provide actionable insights and recommendations to improve user experience., • Design and analyze experiments or quasi-experiments to test hypotheses and evaluate the impact of Integrity-related features., • Develop and maintain dashboards and monitoring tools to track key safety and risk metrics., • Produce clear, data-driven insights and recommendations, and communicate findings to cross-functional stakeholders., • Support the evolution of metrics and measurement frameworks for Integrity products under guidance from senior team members., • Contribute to improving data quality, pipelines, and analytical infrastructure related to trust and safety use cases.You’ll need:, • Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred., • 1-2 years of professional working experience in Data Science and/or analytics preferred., • Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required., • Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus., • Exposure to causal inference concepts or methods is a plus., • Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data., • Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior., • Comfort using descriptive and inferential statistics., • Curiosity of how things work, from both a business and technical perspective., • A collaborative growth mindset with a dedication to community-based projects and partnerships. As a full-time employee, you’ll enjoy:, • Unlimited PTO (with no waiting period), 10 annual Wellness Days, • Time off to volunteer and charitable donations matching, • Comprehensive health, vision, and dental coverage, • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP), • 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation, • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development, • Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy #Tinder 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 Data Scientist, RNA Biology South San Francisco, California, United States we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the cover of Science, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and unique foundation models fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success. The opportunity As a full-time Data Scientist on the Machine Learning team, you will work closely with scientists and engineers to apply and advance our technology platform for RNA structure prediction, target identification, and early-stage drug discovery. You will lead the curation of RNA-focused datasets for ML training and validation, discover statistical patterns in our large-scale datasets evaluating RNA structure and RNA-small molecule interactions, and devise and implement new strategies to test the accuracy of our ML models. Your analysis will guide the development of improved ML models and the targeted acquisition of new experimental data. This is a hybrid position with three days in-person at our South San Francisco office. Responsibilities: Provide RNA biology and RNA structure expertise on the ML team. Enable and apply our RNA-structure platform to prioritize RNA targets for small-molecule therapies and advance structure-based drug discovery. Generate insights from datasets on RNA structures and small molecule interactions (e.g. chemical probing, RNA-SM screens) by conducting statistical analyses, interpreting biological noise, and applying RNA domain expertise. Curate RNA datasets for training of ML models, help evaluate model performance, and provide directions for improvement. Inform scientific questions and ML model development in early-stage RNA drug discovery. Collaborate with the internal wetlab team and shape the design of experimental assays on RNA structure and RNA-SM interactions. About you: Ph.D. in Computational Biology, Bioinformatics, Statistics, Biophysics, or related field, or equivalent experience. Expertise in RNA biology and biochemistry, RNA-protein interactions, and RNA structure. Proficiency in Python for data curation and analysis at scale, and fluency with libraries for data analysis (NumPy, pandas) and applied ML (scikit-learn). Strong programming background, familiarity with Unix and comfort with using external software packages. Strong foundation in statistics and experience with conducting statistical analysis of large-scale datasets. Excellent presentation and writing skills, able to clearly communicate technical information to colleagues. Pluses: History of scientific achievement, e.g. as evidenced by publication of impactful papers. Conceptual understanding of ML model development and evaluation, and experience using ML models. Experience with computational structural biology tools for modeling RNA secondary and tertiary structure (e.g. Rosetta, AlphaFold, RNAfold). Understanding of RNA-SM interactions, including familiarity with structural properties of binding sites and experimental methods for evaluating binding. Proficiency with pipelines for next-generation sequencing dataset processing. Exposure to high throughput experimental assays for evaluating RNA structure and screening RNA-SM interactions. Salary Range: $135,000/year to $180,000/year + equity + benefits. This range reflects variations in seniority, expertise, and skills.

Job DescriptionAbout Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes Why This Role Matters Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. This isn't theoretical—it's real momentum with top-tier biopharma companies. As our BDR, you'll initiate conversations with leading scientists and decision-makers, uncover critical pain points, and open doors to breakthroughs that could lead to life-saving therapies. Join us early, grow fast, and make a meaningful impact on scientific discovery. What You'll Do Core Responsibilities: * Identify and prospect high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) * Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders * Qualify inbound leads and schedule qualified meetings for our sales and science teams * Collaborate with founders and commercial leadership on messaging optimization and market expansion Growth & Learning: * Master the fundamentals of genomics, RNA-seq analysis, and AI applications in drug discovery * Document customer insights to inform product development and marketing strategy * Help build and scale our go-to-market engine from the ground up What We're Looking For Experience: * 2-5 years in SDR/BDR role, preferably in biotech, life sciences, AI, or enterprise SaaS * Track record of meeting/exceeding quota in complex B2B sales environments Core Skills: * Exceptional written communication with ability to simplify complex technical concepts * Strong research and prospecting abilities * Comfortable with ambiguity and rapid iteration * Active listening skills and ability to identify genuine pain points Mindset: * Intellectual curiosity about science and technology * Persistence and resilience in face of rejection * Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline Bonus Points: * Experience with scientific software or life sciences customers * Familiarity with genomics or bioinformatics * Track record in early-stage startup environments Compensation Range: $75K - $120K

Job Description About Handshake AI Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired. Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts. Now’s a great time to join Handshake. Here’s why: * Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide. * Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs. * World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few. Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more. About the Role We’re looking for a highly motivated Data Scientist with strong SQL expertise to support analytics, measurement, and operational insights across our human data training workflows. You’ll work with messy, fast-moving data tied to expert performance, task quality, throughput, and model outcomes. This is a hands-on role with real ownership, exposure to frontier AI work, and a steep growth curve for people who execute well. What You’ll Do * Write advanced SQL to analyze large, complex datasets related to expert performance, task quality, and AI training workflows. * Build and maintain core metrics that track data quality, throughput, and operational efficiency. * Partner with product, operations, and AI stakeholders to answer high-impact questions. * Support experimentation and analysis that improves task design, data quality, and model outcomes. * Create dashboards and reporting that drive fast, informed decision-making. * Identify data gaps or quality issues and work cross-functionally to resolve them. * Take ambiguous problems and drive them to clear, actionable conclusions. Desired Capabilities * 3–5 years of professional experience as a Data Scientist, with a strong track record of applying data to drive product or business decisions. * Expert-level SQL skills * Python experience for data analysis (e.g., pandas, notebooks). * Strong analytical instincts and comfort working with imperfect, real-world data. * High ownership mindset and willingness to grind through complex problems. * Ability to operate independently and deliver under tight timelines. * Clear communication and comfort working cross-functionally. Extra Credit * Experience with experimentation or metrics-driven development. * Exposure to AI/ML workflows, data labeling, or model evaluation. Perks * Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Compensation Range: $160K - $200K

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionCompany Description 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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description The Biologics CMC Development team at AbbVie has a long and rich history of biologics development. Now located in a new state of the art facility in South San Francisco, the team leverages its comprehensive end-to-end CMC capabilities to work collaboratively through all phases of CMC development with a primary focus on advancing biologic therapies, such as monoclonal antibodies, bi-specifics and novel modalities, to human clinical studies and eventual licensure. This role will be imbedded in a team of highly experienced scientists and managers who have directly enabled the development/IND submissions of 20+ novel oncology drugs and successfully filed two BLAs. The Cell Culture Development Group in South San Francisco, CA is seeking a Senior Scientist I to join a talented and collaborative team to develop and implement machine learning models for predicting optimal cell culture process performance. As a senior scientist, you will be responsible for all aspects of ML model development. This position is an onsite role in a lab-based function. To be successful, candidates must enjoy and thrive in an onsite, highly collaborative lab environment with face-to-face cross-functional interactions between scientists. In this position, you will design and implement cell culture process modeling to assist and accelerate cell culture process development, scale-up, and technology transfer activities in a well-supported and dynamic environment to help advance novel biotherapeutics into human clinical studies. KEY RESPONSIBILITIES: • Develop, implement, refine, and validate machine learning (ML) models for predicting cell culture process performance, • Communicate model findings and suggest experimental strategy and/or workflow improvements to support early- and late-stage development, • Actively seek out opportunities to optimize our platform or enhance our understanding of cell culture processes using ML models and wet lab experiments, • Design and execute scalable ambr250 and 2Lexperiments for model development and validation, • Represent the cell culture development group in cross-functional meetings and collaborate closely with modeling groups, cell line, purification, analytical and formulation development leads to meet project deliverables and timelines, • Publish or present scientific findings in peer-reviewed journals, internal or external conferences or consortia, • Display effective organization, verbal written communication skills, and adherence to good documentation practicesQualifications Basic Qualifications: • BS, MS, or PhD in Computer Science / Statistics and Applied Mathematics / Bioinformatic / Machine Learning / Computational Biology / Data Science / Chemical Engineering / Bioengineering or a related field, with Bachelors degree and 10+ years of experience OR Master's and 8+ years of experience, OR PhD and no experience necessary., • Industry or research experience developing machine learning models related to chemical and biological data., • Expertise with developing, implementing, validating, and deploying models, programs and computational solutions using Machine Learning/Deep Learning., • Must have a strong understanding of statistical methods, ML methodologies (e.g., RNNs, GPR, symbolic regression), and ML frameworks (Sci-kit Learn, TensorFlow, PyTorch or Keras). Preferred prior experience with time series forecasting., • Must demonstrate strong programming competency for implement, debug, and maintain models and tools in Python or equivalent and proficiency with cloud computing capabilities., • Must have experience in data visualization tools (e.g., Matplotlib, Plotly) to communicate model finding., • Strong familiarity with statistical modelling software/tools (e.g., JMP, SIMCA, Minitab, Design Expert) and proficient with Microsoft Office software and., • Willingness to learn and execute wet lab experiments in ambr250 and 2L bioreactors, • Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively; and provide solutions both individually and collaboratively with internal experts to develop and optimize the computational infrastructure including cloud resources., • Strong attention to detail; active and quick learner; able to change course quickly as needed; raises the bar and is never satisfied with the status quo; open to suggestions and embraces the ideas of others; collaborative actively builds relationships with others., • Experienced in authoring and reviewing peer-reviewed publications, technical reports, regulatory documents, and/or presentations at conferences. Preferred: • Experience in implementing transfer learning, • Strong understanding of design of experiments (DOE), • Experience in CMC cell culture process development is highly desirable, • Basic understanding of mammalian cell and molecular biology and cell culture bioprocess engineering concepts is highly desirable, • Experience in developing and executing mammalian suspension cell culture processes in shake flasks, ambr250, and/or 2L bioreactors is highly desirable 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 ofthis posting 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 short-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 anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until 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 US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Job Description Job Type: Full-time Salary: $195K - $210K Location: San Francisco Bay Area Company Summary: A pre-IPO clinical stage biotech developing therapies to treat cancer and autoimmune disease. Currently they are backed by VCs and have successfully raised nearly a $1 billion continue advancing their clinical programs. The Opportunity: The AD, Clin Sci will play a critical role in designing and implementing clinical trial protocols. Reporting to the Director, Clinical Science, this person will be responsible for serving as the lea clinical scientist and leading their medical monitoring team in review of clinical data. Responsibilities: • Driving scientific execution of clinical protocol by serving as the lead clinical scientist or leading medical monitor team, • Collaborating cross functionally to monitor clinical data to ensure trial quality and completeness, • Ensuring CRF design supports data collection in alignment with protocol, • Applying proficient analytical knowledge and skills to drive program objectives and mitigate risks, • 10+ years of experience with a Bachelor's degree and 8+ years of experience with a post graduate degree (PhD/PharmD/MD/RN preferred), • 3+ years of experience within oncology clinical development, • Oncology experience is a MUST, • Proficient scientific expertise to propose, design, and execute clinical research and development studies, and authors documents, • Pre-IPO biotech company, • Competitive salary with comprehensive benefits (100% medical coverage)

Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Apex is seeking entry-level Environmental Field Scientists that will be responsible for conducting comprehensive on-site environmental assessments at various operational sites to ensure compliance with applicable federal, state, and local regulations, as well as internal corporate environmental protocols. This role, utilizing an established checklist, will evaluate facility operations; identify risks; ensure environmental programs are properly implemented; and provide correct actions as needed to support environmental regulatory programs. This posting is for San Francisco, CA but we are hiring nationwide across these locations: Boston, Newark, Philadelphia, Raleigh, Jackson, Atlanta, Tampa, Nashville, Cleveland, Cincinnati, Louisville, Chicago, Minneapolis, Dallas, Kansas City, Denver, Pocatello, Phoenix, Portland, Seattle, Los Angeles, San Francisco/Bay Area, and Sacramento. The anticipated start date is mid-March. Travel: Role requires 50–75% travel to operational sites and must be able to drive to client sites within an approximate 300-mile radius of Tampa. Your Responsibilities as an Environmental Field Scientist: • Conduct scheduled and on-call environmental inspections at operational sites to evaluate:, • Hazardous waste handling, labeling, and storage, • Universal waste and e-waste management, • Stormwater and wastewater systems, • Spill prevention and control measures, • Air emissions, refrigerant management, and equipment compliance, • Solid waste management and recycling streams, • Chemical storage, • Material storage and management, • Inspect areas such as loading docks, fuel systems, waste storage areas, material handling areas, and mechanical rooms, etc. for environmental risks., • Review facility documentation including:, • Hazardous waste manifests, • Emergency response plans, • Spill logs and incident reports, • Inspection checklists, • Training records, • Environmental permits, • Environmental records, • Equipment records, • Environmental performance data, • Prepare detailed inspection reports using standardized online reporting platforms, • Propose corrective actions to address compliance gaps Education BA/BS degree in Environmental Sciences, Environmental Management, Biology, Geology, Engineering, Data Analytics, or related discipline. Experience • 0-3 years of experience conducting environmental inspections, audits, or regulatory compliance assessments., • Knowledge of key environmental regulations (RCRA, EPCRA, Clean Water Act, Clean Air Act, DOT hazardous materials)., • Ability to interpret environmental records, manifests, and regulatory documentation., • Proficient in Microsoft Office, audit tools, and reporting platforms., • Strong analytical and problem-solving abilities., • Excellent written and verbal communication skills., • Comfortable working independently in field settings., • This position is based in Tampa and requires frequent travel within a 300‑mile radius. Candidates must be able to reliably travel throughout this region., • Valid driver's license with clean driving record., • This position requires successful completion of medical screening and pre-employment drug testing., • Medical, dental and vision plan options., • Company-paid life, short, and long-term disability insurance., • 401k plan., • Paid time-off and holidays., • Cross-training and the ability to work on a variety of projects., • Other perks and incentives., • Working with the best and brightest in the industry., • 2,000+ employee national firm with 70+ locations across the US. Annual Expected Pay Range$45,000—$55,000 USD We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Job Description Position Title: Senior Machine Engineer / Lead Location: San Francisco, CA Time Type: Full Time The Opportunity Ohalo is looking for a hands-on Senior Machine Learning Engineer / Lead to convert cutting-edge quantitative-genetics and computer vision research into production systems that accelerate crop improvement. You will steer a squad of ML/Data/Software Engineers, partnering with quantitative geneticists and statisticians to deliver Bayesian genomic-prediction pipelines, breeding-system simulations, and AI-powered hybrid-optimization services. Your work will directly shape how breeders make thousands of crossing decisions and drive the next leap in agricultural productivity. Responsibilities • Design, build, and maintain scalable ML pipelines on GCP (or the best-fit cloud) using Python, BigQuery/Spark, Kubernetes, and CI/CD best practices., • Mentor & grow a small team—provide technical guidance, establish code-review norms, and cultivate a culture of rapid, well-engineered experimentation., • Own model-ops lifecycle: automated testing, containerized deployment, continuous monitoring, and A/B evaluation against breeding KPIs., • Collaborate cross-functionally with plant scientists, data engineers, and the automation group to ingest high-throughput phenotyping data and close feedback loops., • Establish MLOps Excellence: Build robust infrastructure for model versioning, data lineage, and automated retraining; implement "champion-challenger" deployment patterns to safely promote research models to production while ensuring full auditability of breeding decisions.Required Qualifications:, • Education – M.S. in Computer Science or related field (or equivalent industry record)., • Experience – 5+ years building production ML/AI systems, technical lead experience preferred, • Engineering excellence – Expert Python plus one ML framework (JAX/NumPyro, TensorFlow, or PyTorch); strong grasp of microservices, Docker/Kubernetes, and cloud data platforms (BigQuery, Vertex AI, etc.)., • Data-engineering acumen – Comfortable designing batch, streaming, and event-driven pipelines; Pub/Sub, Kafka, or equivalent., • Leadership & communication – Able to set direction, give candid feedback, and bridge domain-scientist ↔ engineer conversations with clarity. Nice to have: • Advanced Image Techniques – Proficiency in leveraging Foundation Models (e.g., SAM, CLIP) and Self-Supervised Learning to automate high-throughput feature extraction, converting unstructured imagery into high-dimensional embeddings for advanced statistical analysis. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit . The anticipated pay range for this role is $170,000 - $220,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location. Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application. No visa sponsorship is available for this position at this time. No recruiters, please.

Job DescriptionSalary: Based on experience and market value Job Description: Civil Engineer Position Summary Adidev is seeking a Civil Engineer who will be responsible for planning, designing, overseeing, and maintaining a wide range of infrastructure and civil-works projects, including roads, bridges, buildings, water/wastewater systems, and other public works. This role involves a combination of office-based design and analysis as well as field-based construction oversight to ensure project quality, safety, and compliance. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer and Civil Engineering solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Key Responsibilities Review survey reports, maps, blueprints and other data to plan infrastructure projects. Perform engineering calculations (structural, geotechnical, hydraulic, etc.) to determine design parameters, loads, and material specifications. Develop and/or use computer-aided design (CAD) software and other engineering tools to prepare drawings, plans, and specifications. Prepare cost estimates for materials, equipment, labor, and develop project budgets and schedules. Obtain and review permit applications, ensure compliance with federal, state, and local regulations, environmental laws, and safety requirements. Visit construction sites to oversee progress, ensure that workmanship and materials comply with design specifications, identify risks/issues and coordinate with contractors and stakeholders. Collaborate with multi-disciplinary teams (architects, other engineers, contractors, public works agencies) to coordinate project phases from concept through completion. Monitor project performance, inspect completed work, make recommendations for improvements, and ensure the infrastructure meets functional and quality requirements. Maintain documentation of designs, changes, inspections, and project records; may present reports or technical findings to stakeholders. (Optional/desired) Pursue or hold professional licensure (e.g., Professional Engineer (PE) in relevant jurisdiction) and stay current with codes, standards, continuing education. Qualifications / Skills Bachelors degree in Civil Engineering or a closely related engineering field (Masters preferred for some roles). Strong technical engineering fundamentals in structural, geotechnical, transportation, water/hydraulics or related sub-disciplines. Proficiency in engineering software/tools (e.g., CAD, BIM, structural modelling, MS Project or scheduling tools). Excellent analytical, problem-solving, and quantitative skills. Good verbal and written communication skills; ability to prepare and present technical documents. Ability to work both in an office setting and on construction sites; comfortable with site visits, inspections and field conditions. Knowledge of relevant codes, standards, permitting processes, and regulatory frameworks. Project management skills: budgeting, scheduling, coordination of deliverables, risk management. Familiarity with sustainability, resilience, environmental considerations and modern materials/techniques. Working Conditions Combination of office work and field work (construction sites, outdoors). Full-time positions; may require more than 40 hours per week depending on project deadlines. Relocation & travel may be required to project sites, especially if working across different locations. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of civil engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Job DescriptionThe Science Team at Pride Health is currently supporting a client in the Pharmaceutical industry and has opening of Scientist in South San Francisco, CA. Position Summary: We are seeking a highly motivated and independent Scientist to join the Spatial Omics team. The successful candidate will be responsible for planning, executing, analyzing, and reporting complex spatial proteomics and/or spatial transcriptomics experiments using cutting-edge technologies. Additional Details: Contract Length: 12 Months with the possibility of extension Pay range: $33 to $ 43/hour on W2 as per your experience Key Responsibilities • Independently design, plan, execute, and interpret spatial omics studies with minimal supervision., • Perform complex experiments using advanced spatial technologies, including Xenium, Visium, and COMET platforms., • Analyze experimental data and proactively adjust experimental design based on findings with minimal guidance., • Present project updates, data, and conclusions at internal and external meetings., • Collaborate effectively in a highly multidisciplinary environment, ensuring strong partnerships with supporting labs to maintain end-to-end workflows., • Maintain accurate scientific records, evaluate experimental results, draw conclusions, and align laboratory activities with team objectives., • Adhere to laboratory standard operating procedures (SOPs), work instructions, and project timelines, reporting progress to the lab manager., • Independently research internal and external scientific literature to inform study design and experimental layout., • Bachelor’s degree (BA or BS) in a relevant scientific discipline., • 0–5 years of relevant laboratory or research experience., • Demonstrated ability to manage multiple projects simultaneously in a fast-paced environment., • Strong written and verbal communication skills with the ability to clearly present scientific data., • Hands-on experience with spatial omics platforms such as 10x Genomics Xenium, 10x Genomics Visium, and/or COMET technology., • Experience scanning fluorescent and histological slides., • Background in quantitative image analysis and image processing; experience with machine learning is a plus. Pride Health offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors. APPLY NOW! About Us Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. #LI-JR1 #RTA-ZR JD-#SCIENCE Company DescriptionWe are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, providing access to an incredible breadth and depth of opportunities where you can grow your career and make a meaningful difference.We are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, providing access to an incredible breadth and depth of opportunities where you can grow your career and make a meaningful difference.

Job Description ABOUT MITHRL We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. WHAT YOU WILL DO Build and own an AI-powered ingestion & normalization pipeline to import data from a wide variety of sources — unprocessed Excel/CSV uploads, lab and instrument exports, as well as processed data from internal pipelines. Develop robust schema mapping, coercion, and conversion logic (think: units normalization, metadata standardization, variable-name harmonization, vendor-instrument quirks, plate-reader formats, reference-genome or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data-engineering tools to structure “semi-structured” or messy tabular data — extracting metadata, inferring column roles/types, cleaning free-text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all transformations that should only happen once (normalization, coercion, batch-correction) execute during ingestion — so downstream analytics / the AI “Co-Scientist” always works with clean, canonical data. Build validation, verification, and quality-control layers to catch ambiguous, inconsistent, or corrupt data before it enters the platform. Collaborate with product teams, data science / bioinformatics colleagues, and infrastructure engineers to define and enforce data standards, and ensure pipeline outputs integrate cleanly into downstream analysis and storage systems. WHAT YOU BRING Must-have * 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data. * Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). * Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures. * Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data. * Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning. * Strong desire and ability to own the ingestion & normalization layer end-to-end — from raw upload → final clean dataset — with an eye for maintainability, reproducibility, and scalability. * Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions. Nice-to-have * Familiarity with scientific data types and “modalities” (e.g. plate-readers, genomics metadata, time-series, batch-info, instrumentation outputs). * Experience with workflow orchestration tools (e.g. Nextflow, Prefect, Airflow, Dagster), or building pipeline abstractions. * Experience with cloud infrastructure and data storage (AWS S3, data lakes/warehouses, database schemas) to support multi-tenant ingestion. * Past exposure to LLM-based data transformation or cleansing agents — building or integrating tools that clean or structure messy data automatically. * Any background in computational biology / lab-data / bioinformatics is a bonus — though not required. WHAT YOU WILL LOVE AT MITHRL * Mission-driven impact: you’ll be the gatekeeper of data quality — ensuring that all scientific data entering Mithrl becomes clean, consistent, and analysis-ready. You’ll have outsized influence over the reliability and trustworthiness of our entire data + AI stack. * High ownership & autonomy: this role is yours to shape. You decide how ingestion works, define the standards, build the pipelines. You’ll work closely with our product, data science, and infrastructure teams — shaping how data is ingested, stored, and exposed to end users or AI agents. * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionGenEdit is an early-stage company that is developing a proprietary and novel delivery platform with the potential to transform genetic medicines. Our interdisciplinary team works together across polymer chemistry, payload, formulation, screening, and preclinical groups to develop the next generation of gene therapies and nanomedicines. We foster an exciting and dynamic environment where we value impactful data and creative solutions. Job Description and ResponsibilitiesWe are seeking a talented and motivated individual to join our team in Brisbane, CA, and support the development of genetic medicines utilizing GenEdit’s proprietary hydrophilic nanoparticle (HNP) platform. This position will work full-time in our wet labs to support nanoparticle formulation activities and will report to a scientist in our product and process development (PPD) team. This position will be expected to execute at a high level in the lab, keep detailed lab records, execute, optimize, and develop analytical techniques, and cooperate efficiently with other technicians and scientists. Education and Qualifications· PhD (or BS/MS with significant experience) in nanoparticle sciences and formulation· 3+ years of relevant hands-on lab experience, ideally in an industry setting· Required: expertise in nanoparticle formulation and related analytical characterization: optimization of mRNA and small molecule encapsulation mixing methods (IJM, microfluidics), light scattering and zeta potential (DLS, MALS), quantitative fluorescence assays (RiboGreen, fluorescamine)· Highly preferred: nanoparticle scale-up manufacturing and process development including purification and concentration methods (TFF, UF/DF, sterile filtration, analytical HPLC) and standard molecular and cell biology techniques including UV-Vis, gel electrophoresis, protein expression characterization (western blot, ELISA, flow cytometry, FlowJo) and transfection of mammalian tissue culture· Capable of independent experimental design, execution, and technical trouble shooting· Ability to efficiently execute in the lab, develop standard operating procedures with precise reproducibility, and maintain detailed electronic lab notebook records· Excellent communication, presentation, and organizational skills· Work authorization in the US is required At GenEdit we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. These differences are what enable us to work towards the future we envision for ourselves, and the world. 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 DescriptionBusiness Development Representative - AI Co-Scientist PlatformPerfect for New Graduates with Biology or Related Science Backgrounds About Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes Why This Role is Perfect for New Science Graduates This is your chance to bridge the gap between cutting-edge science and real-world impact. You'll use your scientific background to communicate with leading researchers while building essential business skills that will accelerate your career. Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. As a new graduate, you'll get unparalleled exposure to how biotech companies operate, from early-stage startups to Big Pharma R&D teams. You'll initiate conversations with the same caliber of scientists you've studied under, uncovering critical pain points in drug discovery and opening doors to breakthroughs that could lead to life-saving therapies. What You'll Do Core Responsibilities: * Research and identify high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) * Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders—using your scientific background to speak their language * Qualify inbound leads and schedule meetings for our sales and science teams * Collaborate with founders and commercial leadership on messaging optimization and market expansion What We're Looking For Educational Background: * Bachelor's degree in Biology, Biochemistry, Molecular Biology, Genetics, Bioinformatics, or related life sciences field * Master's degree preferred (MS, PhD candidates welcome) Core Skills & Attributes: * Exceptional written and verbal communication skills with ability to translate complex scientific concepts for diverse audiences * Strong research abilities and scientific curiosity * Comfortable with ambiguity and rapid iteration in a startup environment * Active listening skills and ability to identify genuine scientific pain points Mindset: * Intellectual curiosity about the intersection of science, technology, and business * Persistence and resilience—essential for both scientific research and business development * Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline * Desire to make a meaningful impact on drug discovery and patient outcomes What You'll Gain Professional Growth: * Transform your scientific knowledge into business acumen * Front-row seat to AI transformation in drug discovery * Competitive base salary designed for new graduates * Performance-based commission structure with significant upside potential * Work alongside elite scientists, engineers, and commercial professionals * High-autonomy, results-driven culture that values scientific rigor * Beautiful SF office with in-person collaboration and mentorship

Job Description ABOUT ARS X MACHINA: Ars X Machina (AXM) is a full-service media planning, buying, and analytics agency headquartered in San Francisco, with a remote team distributed across the U.S. We craft omnichannel, data-driven media strategies that span the entire paid media landscape. From audience development and strategic planning to budget forecasting, execution, optimization, and reporting, we manage the full media lifecycle end-to-end. Our experience spans both B2B and B2C, supporting brand-building and performance-driven campaigns. What sets AXM apart? Our agility, strategic leadership, and innovative mindset—all rooted in a collaborative, people-first culture where both clients and team members thrive for the long haul. JOB DESCRIPTION: AXM is seeking a data scientist on a contract basis to support the continued development and delivery of Agile Mix Modeling™ (AMM), our machine-learning powered solution for real-time, cross-channel media measurement, forecasting, and optimization. This role is highly execution-oriented. The contractor will be responsible for building, running, validating, and iterating on AMM models in support of active client engagements, working closely with AXM’s Analytics, Data Science, and Media teams. ESSENTIAL DUTIES AND RESPONSIBILITIES: • Construct and run models as needed for client reporting deliverables, • Communicate complex statistical information to agency client teams, and help construct narratives for client reporting deliverables, • Continue development of AMM product by improving Bayesian models and utilizing statistical and machinelearning approaches to optimize attribution output and streamline the creation of valid models, • Help maintain a custom code base, container images, and cloud infrastructure., • Work in an AWS cloud environment managed, • Be highly organized and able to work independently., • Provide guidance and mentorship to data science team members, • Demonstrate critical thinking and problem-solving abilities., • 8+ years of experience in a data scientist role, including experience in advertising analytics, • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field., • Proven expertise in coding with Python, with a strong understanding of data structures, algorithms, and object-oriented programming., • Experience with Bayesian Modelling, ideally using PyMC and pymc-marketing, with the ability to effectively communicate results, • Experience with the following is required: Ray, Podman (or Docker), Terraform, Git, • Familiarity with machine learning techniques and libraries such as scikit-learn, TensorFlow, or PyTorch, • Proficiency in SQL, Pandas, and general ETL practices required, • Knowledge of econometrics and statistical modeling techniques, • Ability to thrive in a remote work environment, demonstrating strong project management, communication, and collaboration skills., • Experience in advertising analytics, Marketing Mix Modeling (MMM), and experimentation required, • Excellent problem-solving skills and the ability to work independently and as part of a team., • Outstanding collaboration skills with a proven ability to work cross-functionally in order to establish and meet shared organizational goals, • Highly detail-oriented with excellent organizational, time management, and problem-solving skills

Job DescriptionGenEdit is a rapidly-growing, early-stage company that is developing a proprietary and novel delivery platform with the potential to transform genetic medicine. Our interdisciplinary team works together across chemistry, payload design, formulation, and screening and preclinical groups to develop the next generation of gene therapies. GenEdit fosters an exciting and dynamic environment where we value impactful data and creative solutions to accelerate our progression from a platform technology to a pipeline of therapeutic candidates. We are seeking talented and motivated individuals to join our team and are expanding across all functions within the organization. Join us in South San Francisco, CA, to be at the forefront of the future of gene therapy. Senior Consultant, CMC Development and Manufacturing GenEdit is looking for an individual who will provide technical and organizational leadership and work closely with cross-functional stakeholders to ensure CMC activities are executed seamlessly and in alignment with the integrated product development plan and program timelines. The individual will lead the management of manufacturing of established drug substances and drug products for late-phase clinical trials and the development of new products. The individual will also contribute to the overall CMC strategy, planning, and execution; provide regulatory documentation for all phases of clinical trials and commercialization; and play a role in CDMO management for other CMC areas including analytical and drug product. The senior consultant will be a contributing member of the R&D management team to plan and execute on company objectives and R&D strategy for all programs. This person must be a strong scientist with a sound track record of technical expertise and organizational leadership, early and late stage CMC.and a knowledge of the drug discovery process from exploratory research to IND submission. This person must be able to guide and drive project teams to make decisions and recommendations to the executive team, is a critical and creative problem solver, and comfortable in a dynamic, start-up environment to find solutions to scientific, technical, and resource allocation issues to move programs forward. The ideal candidate will be a team player with excellent communications skills and work collaboratively across all functions within the company and with external partners. Responsibilities·Key polymer synthesis and development and manufacturing operations to maintain and advance company pipeline.·Manage and maintain project timelines for CMC activities in support of early and late-phase clinical trials, ensuring strategy and roadmaps align with and feed into company goals and project timelines.·Manage in-house CMC personnel and external subject matter experts.·Lead CDMO and other vendor identification, assessment, qualification, and management with adequate risk assessment.·Manage tech transfer, process familiarization, and manufacturing at CDMOs to ensure timely delivery of GMP drug substance and drug product.·Contract and Quality Agreement negotiation.·Develop and carry-out a QBD approach to identify CPPs in support of CQAs for efficacy and safety of drug substance.·Author/review/approve the relevant CMC sections to enable global regulatory filings.·Generate, review, and/or approve study protocols, development reports, and manufacturing batch records.·Manage developmental stage-appropriate analytical activities. ·Communicate CMC strategy and project status to key stakeholders cross-functionally and assist in driving decision-making.·Collaborate with cross-functional teams (clinical development, clinical operations, regulatory affairs, quality, IP) to ensure CMC and program goals are met. Education and Qualifications:·PhD in polymer chemistry or polymer science and engineering with industry experience in synthesis scale-up and downstream processing, ideally in a therapeutic drug context.-10+ years in industry CMC; 3+ years of experience as CMC team leader, managing team members and projects.·Proven success in vendor management, specifically CDMOs, with track record of negotiating contracts and completion of projects on time and within budget.·Successful management of CDMO to manufacture GMP product for late-phase clinical trials is a requirement.·Thorough understanding and working experience in drug substance development and manufacturing with respect to quality by design, GMP, quality systems, ICH guidelines, FDA, EMA, and associated regulatory requirements. Experience writing CMC section of NDA is a plus.·Experience with key analytical techniques: NMR, GPC-RI, HPLC, UV-vis, fluorescence spectroscopy, DSC, ITC, MAL-SEC, and other characterization methods.·Highly motivated scientist with particular attention to detail and the ability to independently plan, design and implement experiments·Excellent written, verbal and presentation skills·Work authorization in the US is required At GenEdit we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. These differences are what enable us to work towards the future we envision for ourselves, and the world. 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 DescriptionCompany Description 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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description AbbVie’s global Drug Product Development team designs and scales formulations and manufacturing processes for complex biologics, including antibodies, antibody drug conjugates, and novel formats, from preclinical stages through clinical proof of concept across both liquid and lyophilized presentations. We are hiring a Senior Scientist II in South San Francisco to lead end to end formulation and process development. In this role, you will plan and execute DoE driven studies, assess clinical in-use stability, and model degradation pathways. You will establish fit-for-purpose analytical strategies using protein characterization and stability methods such as SEC, CE SDS, icIEF, HIAC, MFI, and DLS. Additionally, you will synthesize complex datasets into clear conclusions and communicate results to technical, leadership, and regulatory audiences while upholding safety, data integrity, and GxP standards. A core focus of the role is building efficiency at scale by devising and deploying high throughput automated workflows to increase scientific depth and speed across a matrixed, cross site environment. You will mentor and develop laboratory scientists and represent the function on cross functional teams. This is a hands on technical leadership opportunity that converts complex biology into robust, scalable, clinically ready drug products, accelerating and de risking AbbVie’s biologics pipeline through scientific rigor, DoE based design, deep analytics, and laboratory automation. KEY RESPONSIBILITIES INCLUDE: • Conceive and execute novel scientific research and development that achieves project and functional area goals and produced novel approaches to answer scientific questions and enable the development and characterization of biologic formulations, • Understand and follow project strategic direction and ensures execution within study teams, and seeks guidance when necessary, • Generate new scientific proposals and lead efforts and strategy to drive innovation and implement strategies and approaches to increase efficiency and scientific depth., • Develop and review detailed study plans to investigate, identify, develop, and optimize liquid and lyophilized drug products through design and execution of formulation, process development, and clinical in-use studies. Utilization and understanding of Design of Experiments (DoE) for planning experiments and modeling results is required., • Responsible for accumulating and organizing experimental and other relevant data, making appropriate recommendations for analyzing and interpreting results, and effectively communicating finds to various audiences in scientific presentations, technical reports, and regulatory documents, • Maintain solid understanding and hand-on-experience in developing models for and characterizing biologic degradation pathways and introducing robust analytical approaches and techniques for characterization, • Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug, and GxP compliance where applicable., • May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals, • Generate high-quality data based on sound scientific principles and document results in electronic lab notebook, • Ability to effectively communicate to various audiences and relay concise, consistent messages, • Represent the function within cross-functional and cross-site technical teams Qualifications, • Bachelor’s Degree with 12+ years of experience, Master’s Degree with 10+ years of experience, or PhD with 4+ years of experience in the biotechnology or pharmaceutical industry., • Strong technical background in formulation principles, drug product degradation pathways, drug product lyophilization and processing, and deep understanding of characterization approaches., • Hands-on experience in analytical techniques used for protein characterization and stability testing preferred (e.g., SEC, CE-SDS, icIEF, HIAC, MFI, DLS, etc.), • Has demonstrated the ability to create automated workflows and successfully implement in a cross-matrixed team with tangible efficiency results., • Possesses strong computational/programming skills to facilitate automation of workflows and data processing (Hamilton liquid handlers or other automation instruments), • Detail-oriented and highly organized with a demonstrated ability to drive innovative science and solve complex problems, • Technical experience with developing fit-for-purpose analytical characterization techniques and drug product presentations, • Prior experience in the development of high-throughput screening workflows for protein formulation development and/or analytical characterization, • Experience in managing and developing laboratory scientists, • Excellent communication and written skills 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 this postingbased 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 paymore 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 short-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 and untilpaid 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 US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description:We are seeking a Senior Applied Scientist with expertise in machine learning and digital signal processing (DSP) to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams. Responsibilities • Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization., • Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware., • Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques., • Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system. Required Skills, • MS or PhD in Computer Science, Electrical Engineering, or a related technical field., • 3+ years of experience developing and deploying production ML models., • 3+ years of applied research experience in ML, DSP, or algorithm development., • Hands-on experience working with physical sensors and modeling time-series data., • Strong foundation in ML architectures, DSP theory, and algorithm design for real-world systems.Bonus Skills, • Experience developing or optimizing algorithms in C/C++ for resource-constrained embedded systems., • Experience porting ML models from Python frameworks to firmware-level implementations.

Job DescriptionScientist I Location: South San Francisco, CAPosition: Full-Time GenEdit is a rapidly-growing, early-stage company that is developing a proprietary and novel delivery platform with the potential to transform genetic medicine. Our interdisciplinary team works together across chemistry, payload design, formulation, and screening and preclinical groups to develop the next generation of gene therapies. GenEdit fosters an exciting and dynamic environment where we value impactful data and creative solutions to accelerate our progression from a platform technology to a pipeline of therapeutic candidates. We are seeking talented and motivated individuals to join our team and are expanding across all functions within the organization. Join us in Brisbane, CA, to be at the forefront of the future of gene therapy. Position Summary We are seeking a talented and motivated Scientist to join our Immunology team and drive the development of genetic medicines for immune-based diseases utilizing our hydrophilic nanoparticle (HNP) technology. This individual will report to the Program Lead and will be responsible for assisting with planning and executing short and long-term R&D strategy for the Immune Program. She/he will be a key contributor to project and study design, method development, program strategy, and HNP and payload screening to identify lead therapeutic candidates that meet strict in vitro and in vivo target criteria for tissue and cell-specific delivery of nucleic acid payloads to achieve the desired immune modulating activity. The ideal individual will have a strong background in cellular immunology, immune modulation and tolerance, vaccines, gene therapy, and rodent models of immune-based diseases. Individuals with industry experience as a key individual contributor on project teams and a successful track record of completed projects on time and teamwork are preferred. Position title will be commensurate with scope of responsibilities and years of relevant experience. Key Responsibilities · Lab: Conceptualize and execute complex in vitro and in vivo immunology studies including study design, method development, independent data analysis, and technical problem solving. (75% bench work)· Scientific leadership: Assist in goal setting and strategy, project and study planning, resource management, mentorship of junior staff, and hands-on study execution to ensure timely achievement of corporate milestones and goals. Function internally as a key opinion leader in matters related to immunology and tolerance.· Supervisor: May manage Research Associate(s) depending on experience including: workflow organization, goal setting, assigning objectives, mentoring, performance evaluation, skills and career development.· Collaboration and communication: Work cooperatively with peers and multidisciplinary teams in a highly matrixed lab environment, keep detailed and organized lab records, and present results at team, internal company, and external alliance meetings. Qualifications Education:· Ph.D or equivalent in Immunology or a related life science field.· 1-2 years of biotech/pharma experience. Applicants with relevant postdoctoral experience in immune tolerance and autoimmune diseases will be considered.· Broad and deep knowledge in immune response regulation and modulation at the cellular and molecular level.· Direct experience in development, troubleshooting, and execution of in vitro immune based assays including primary immune cell culture and differentiation, immune cell phenotyping, and functional assays (e.g., flow cytometry, ELIspot, cytotoxic T cell assays, APC/T cell co-culture) is required.· Deep understanding of the antigen presentation process, Treg, DC and/or macrophage biology, and immune modulation. Knowledge of tolerance, vaccine development and gene therapy/delivery a plus.· Work authorization in the US is required. Extensive Technical Skillso Primary immune cell culture of DC, monocyte, macrophage, and T cells including in vitro and ex vivo functional assays.o Design and execution of in vivo studies to evaluate therapeutic drug candidates for safety and efficacy in mouse models of autoimmune and inflammatory diseaseso Proficiency with comprehensive immune cell phenotyping by multicolor (12+) flow cytometry (Cytek Northern Lights, BD cytometers, CytoFlex), ICC (Cytation), cytokine analyses (CBA, MSD), ELISA, ELISpot, and ICS, and related assays.o In vitro and in vivo screening of drug candidates, microplate cell assays, protein expression, cytotoxicity, fluorescent cell and tissue imaging, luminescence, BLI (IVIS), quantitative microscopy and image analysis.o Preferred experience with molecular biology techniques including characterization of nucleic acid and protein therapeutic payloads. Abilities and Attributes· A highly professional, enthusiastic, self-starting and goal-focused scientist.· Intellectually agile, curious, and able to thrive in a fast-paced, dynamic environment.· Excels at technical innovation and creative problem solving, prevention and solution.· Open-minded, cooperative, and capable of adapting quickly.· Experience working collaboratively across functional groups and with external partners.· Personable, sociable, and eager to help build Genedit’s culture and future. At GenEdit we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. These differences are what enable us to work towards the future we envision for ourselves, and the world. 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 DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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 DescriptionThe Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment., • Develop custom data models and algorithms to apply to data sets., • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes., • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows., • Develop analytic data sets and use statistical software to analyze data sets as requested., • Use third party software tools in the development of queries and visualizations., • Coordinate with different functional teams to implement models and monitor outcomes.Requirements, • Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience., • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines., • 5+ years of experience in data analysis software, with data science experience preferred., • 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling., • Track record of applying AI or ML models to solve practical, real-world problems—ideally in healthcare or similar complex domains., • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc., • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning., • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc., • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows., • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering., • Strong problem-solving skills with an emphasis on data analytics., • Excellent written and verbal communication skills for coordinating across teams.Nice to Have, • Experience in the healthcare setting preferred., • Experience with Epic EMR data preferred, but not required.

Job Description SENIOR MEDICAL DIRECTOR, CLINICAL DEVELOPMENT At Day One, we are focused on advancing first- or best-in-class medicines for childhood and adult diseases with equal intensity. We were founded to address the lack of new therapies resulting from the traditional drug development model, that has left children with cancer and their families waiting too long for new, life-changing treatments. Our aim is to accelerate better, targeted treatments so patients of any age can look forward from 'day one' to the future they've envisioned. POSITION SUMMARY: This is an exciting opportunity at a fast-paced, growing, mission-driven biotech company with a rapidly expanding pipeline. We are seeking an experienced, motivated, and engaging physician/physician-scientist to join us as a Senior Medical Director, Clinical Development. Reporting to our Chief Medical Officer, the successful candidate will be responsible for providing medical and scientific expertise and oversight for clinical trials. The incumbent will serve as the primary accountable person for the design, execution, monitoring, delivery, and reporting of one or more early and/or late-stage clinical studies. Additional study level activities include acting as the Medical Monitor for clinical trials, ensuring patient safety, and providing medical guidance during the design, execution, and reporting of clinical studies. In addition to study-level activities, this individual will also engage in program-level activities, including authoring/reviewing safety and efficacy summaries, clinical overviews, investigator brochures, risk management plans, periodic safety updates, and clinical sections of product labels. The Senior Medical Director, Clinical Development will also be responsible for presenting study results to internal and external committees or advisory boards, as well as preparing data for presentation at international scientific meetings and publications. This person will will collaborate with the DAY301 Product Team Lead, leveraging their knowledge, experience, and skills to advance our PTK7-directed antibody-drug conjugate, DAY301, currently in Phase 1. This individual will lead the Clinical Development Sub-Team within the Product Team, working closely with the Product Team Lead and Program Management to ensure cross-functional execution and alignment. Strong preference for candidates in the San Francisco Bay Area or Greater Boston area who can work a hybrid schedule with regular in-office days; however, remote opportunities may be considered. This position is subject to travel 25% for in person meetings and major conferences. ESSENTIAL DUTIES AND RESPONSIBILITIES: The areas of specific responsibility and attention will include, but are not limited to, the following: • Clinical Trial Strategy and Design, • In collaboration with the broader cross-functional study and project team(s), design of clinical studies to meet the stated objectives, • Drive and advance clinical and integrated development plans from FIH trial to regulatory approval for one or more indications, including life-cycle management, • Be accountable for the review and amendment of clinical trial protocols, • Review and approve informed consents, • Provide medical input into the assessment of investigational site capabilities, • Participate in the review and approval process for data capture and review, • Organize expert panels, consultants, or advisor board meetings to provide input into protocol development and data analysis., • Provide oversight and leadership to the study/program clinical development team, • Provide managerial oversight to a team consisting of Medical Directors, Clinical Scientists, and/of Fellows, • Build clinical development team according to needs of the program, • Provide Study Team with Medical Expertise, • Protocol training for investigators, • Issue resolution, • Audit responses, • Study conduct and closeout, • Inspection readiness, • Provide accountability for safety across studies, • Ensure development of and/or adherence to safety review plans, • Perform and document regular review of individual subject safety data, and review of cumulative safety data, • Working with our Drug Safety team, review individual subject data (including AEs and other safety data), SAEs, and potentially clinically important findings, as well as determine whether or not follow-up is needed, • Study Level Data Review, • Working with our clinical scientists and biometrics colleagues, perform reviews of data generated by statistical analyses, requesting additional tables or analyses as needed, • Perform reviews and procedures required for database finalization, • Lead the authoring of clinical study reports, • Lead the authoring of clinical sections of regulatory documents (e.g. IB, IND annual reports, etc.), • Answer and Resolve Medical and Safety Questions from Sites, • General protocol questions, questions on inclusion/exclusion, safety management, etc., • Ensure answers are consistent across study regions, • Interact with Regulatory Authorities and Internal Regulatory and QA Groups on a Study Level, • Support regulatory interactions, accountable for providing responses to regulatory inspection observations, internal audits, etc., • Support RA updates and submissions for IND documents (IB, DSUR, protocol, etc.), • Assist with clinical sections of regulatory filings, • Presentations and Publication of Clinical Trial Results The Senior Director, Clinical Development must be a natural leader with expertise in oncology clinical research. This individual will have proven experience in leading and collaborating with teams and individuals across various functions in a fast-paced, global environment. Experience in drug development for pediatric oncology and/or rare diseases would be preferred but not required. A solid understanding of early- and late-stage drug development and clinical research conducted under GCP/ICH is essential. More specifically, it is anticipated that the ideal candidate will possess: • MD or MD/PhD degree is required, • 7-10 years of experience in the biopharmaceutical industry with experience in oncology drug development and design/conduct of clinical trials, • Training and experience in oncology; pediatric oncology and/or neuro-oncology experience is preferred but not essential; board certified or eligible in oncology (and/or hematology), • Knowledge of ICH and Good Clinical Practice and familiarity with global and regional regulations, • Experience in the assessment of adverse events and safety of patients participating in oncology clinical trials, • Skilled in modern oncology protocol design, data interpretation, biostatistics, and medical monitoring, • Strong interpersonal skills, as well as the ability to function in a team environment, • Ability to lead by example, build interdependent partnerships, and participate in a culture of collaboration and teamwork that fosters open communication, constructive conflict resolution and organizational flexibility, • Able to prioritize and manage several projects simultaneously, • Ability to work in a fast-paced and ever-changing environment, as well as the proven track record of working effectively in diverse teams involving multi-functional disciplines, • Proven ability to develop internal relationships in a matrix environment, whether in person or remotely, as well as external relationships with Key Opinion Leaders and industry experts, • Outstanding verbal, written, and presentation skills to enable effective communication at all levels that allows for the presentation of complex and/or new ideas with clarity and simplicity, • A desire to be part of a highly innovative company aimed at transforming the lives of children and adults with serious, life-threatening diseases, their families and society INTERVIEW INTEGRITY At Day One, we expect each candidate to engage authentically, representing their true qualifications and experiences. As part of our screening process, we will conduct several interviews and background verification. This ensures candidates have the skills they claim and align with our values. We are excited to learn more about you and to create a genuine experience for everyone. COMPENSATION AND BENEFITS The salary range for this position is $320,000 - $350,000. Day One considers a range of factors when determining base compensation. These considerations mean actual compensation will vary. Please visit to see our competitive benefits. DISCLAIMER Day One Biopharmaceuticals is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We are unable to sponsor or take over sponsorship of any applicant work visas at this time. Recruitment & Staffing Agencies: Day One Biopharmaceuticals does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Day One Biopharmaceuticals or its employees is strictly prohibited unless contacted directly by Day One Biopharmaceutical's internal HR team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Day One Biopharmaceuticals, and Day One Biopharmaceuticals will not owe any referral or other fees with respect thereto.

Job Description The Associate Scientist initiates and executes laboratory experiments to aid in product development. This position requires investigating the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problem solving. We are seeking an individual who maintains broad knowledge of state-of-the-art principles and theories and can work well in an exciting fast paced environment. PRIMARY RESPONSIBILITIES: * Autonomously and accurately design experimental plans and execute complex laboratory experiments such as analyte extractions, next-generation library preparation, hybrid capture and sequencing. * Evaluate and integrate new emerging technologies in genomics. * Write protocols and document results and scientific interpretations. * Contribute insight toward experimental findings and trouble-shoot laboratory processes and protocols. * Communicate and discuss results with a multidisciplinary team including biologists, bioinformaticians, statisticians, software engineers and managers. * Perform basic data analysis. * This role will have occasional access to PHI both in paper and electronic form and have occasional access to various technologies to access PHI (paper and electronic) in order to perform the job. * Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire. * Performs other duties as assigned. QUALIFICATIONS: * Bachelor's in molecular biology, biochemistry or closely related field with a minimum of 6 years of industry experience. Master's in molecular biology, biochemistry or closely related field, with 2 years of industry experience. KNOWLEDGE, SKILLS, AND ABILITIES: * Must have hands-on experience with basic molecular biology techniques, including PCR, QRT-PCR, digital PCR, nucleic acids extractions or sequencing. * Must be able to handle manual work/pipetting involving high throughput sample testing. * Must have experience in data analysis using Excel or other data analysis tools. * Demonstrated success in applying independent scientific judgment in experimental design and analysis. * Experience with next generation sequencing (NGS) methods and techniques. * Experience in optimizing laboratory methodologies and troubleshooting complex problems. * Experience in writing clear plans, reports and SOPs. * Experience in epigenetic/methylation, target enrichment, working with cfDNA/RNA/FFPE tissues and NGS data analysis is a plus. * Experience in programming and operating liquid handlers is a plus. * Experience in programming languages such as python is a plus. * Must have excellent communication, organizational, record-keeping, planning, attention to detail and time management skills. Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: * Long-term equity awards * Comprehensive health benefits (medical, dental, vision) * 401(k) with company match * Generous paid time off and company holidays * Additional wellness and work-life benefits Compensation Range $89,900—$112,350 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 . 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: 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 DescriptionAbout Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact. About the Role We’re hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed.What you will do • Explore clinical, operational, and patient engagement data to surface actionable insights, • Analyze routing, capacity planning, and supply-demand dynamics across regions, • Identify drivers of preventive care engagement and patient follow-through, • Predict cancellations, risk, and future care needs using behavioral and clinical signals, • Design and evaluate A/B experiments across product, growth, and operations, • Support internal teams with dashboards, analytics, and ad hoc decisions, • Help shape the Data function’s standards, tooling, and processes as an early leaderWhat you have done, • 5+ years in data science, advanced analytics, or applied data modeling, • Worked with large, messy datasets to answer ambiguous, high-stakes questions, • Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar, • Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift, • Influenced product, ops, or strategy decisions through data insight and storytelling, • Presented findings to leadership and collaborated with cross-functional teamsWhat gives you an edge, • Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana), • Exposure to GCP data tools like BigQuery, DataFlow, or DataForm, • Familiarity with healthcare data (claims, HL7, CCDAs, HIEs), • Experience with logistics, routing, or operational optimization problems, • Designed or analyzed growth experiments or user behavior funnels, • Communicated insights to C-level stakeholders or mentored junior talentOur Tech Stack, • Python, • SQL, • Superset, Looker, Tableau, Grafana, • BigQuery, Snowflake, Redshift, • Elasticsearch / Kibana, • FHIR, HL7, claims data (bonus), • Pandas, Scikit-learn, DataForm, DataFlowWhat we offer, • Meaningful pre-IPO equity, • Medical, dental, and vision plans 100% paid for you and your dependents, • Flexible PTO + 10 paid holidays per year, • 401(k) with match, • 16-week parental leave policy for birthing parent, 8 weeks for all other parents, • HSA + FSA contributions, • Life insurance, plus short and long-term disability coverage, • Free daily lunch in-office

Job DescriptionAbout Tahoe TherapeuticsTahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response.By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your roleWith Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we’re looking for people who want to push the frontier of what’s possible. As a Senior Machine Learning Scientist, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe’s large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.Qualifications - Essential • PhD or equivalent practical experience in a technical field., • A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models., • Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas)., • A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action.Qualifications - Nice to have, • Prior experience with ML applied to problems in biology or chemistry., • Familiarity with multimodal modeling, contrastive learning or self-supervised learning., • Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention)Key Responsibilities, • Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq., • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets., • Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses.Benefits, • Unlimited Paid Time Off (PTO)., • Monthly Lunch budget., • One-time Office set up budget.

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Platform Solutions Engineer who will serve as the technical bridge between Mithrl’s platform and our customers. This role requires a rare combination of skills. You must be able to architect solutions for complex customer environments and also own DevOps responsibilities that ensure secure, scalable and reliable deployments. You will design and implement integrations, advise customers on best practices for using Mithrl within their R&D workflows, and collaborate with internal teams to ensure smooth onboarding and deployment. At the same time, you will build and maintain the cloud infrastructure, CI systems, monitoring, and automation that keep Mithrl running at scale. If you enjoy combining customer facing problem solving with deep engineering and DevOps work, this role provides a unique opportunity to shape the technical foundation of Mithrl as we grow. WHAT YOU WILL DO * Architect technical solutions for customers who integrate Mithrl into their cloud and on-prem environments * Work closely with AEs, customer success, and scientific users to understand customer workflows and design scalable deployment approaches * Build and maintain infrastructure for secure and reliable deployments in AWS, including compute environments, networking, container orchestration, and storage * Manage and improve CI pipelines, automated testing environments, and release processes * Build monitoring, logging, and alerting systems that give engineering and customer success clear visibility into system health * Implement automation for provisioning, configuration management, and environment setup * Support API integration, authentication workflows, and secure data movement between customer systems and Mithrl * Troubleshoot deployment issues and serve as the technical point of contact for complex customer setups * Work with engineering teams to ensure that platform features align with customer infrastructure needs * Contribute to documentation, architectural guidelines, and internal playbooks for deployment and integration WHAT YOU BRING Required Qualifications * Strong experience in both solution architecture and DevOps or platform engineering * Deep knowledge of AWS services such as EC2, ECS, EKS, S3, IAM, Batch, Lambda, and VPC networking * Experience designing and deploying scalable, secure cloud architectures for enterprise customers * Proficiency with infrastructure as code tools such as Terraform or CloudFormation * Experience with CI systems, automated testing, and release pipelines * Strong understanding of container technologies and orchestration systems such as Docker and Kubernetes * Ability to build monitoring, logging, and alerting systems using modern tooling * Experience solving complex customer integration problems with empathy and clarity * Strong communication skills and comfort working directly with customers and internal stakeholders * Experience supporting technical products used by scientists or enterprise teams Nice to Have * Experience in tech bio, computational platforms, or scientific data environments * Familiarity with security best practices for regulated data or enterprise environments * Experience integrating API based workflows or custom data flows * Knowledge of distributed systems design or high performance compute environments * Experience writing internal tools or automation scripts for engineering teams WHAT YOU WILL LOVE AT MITHRL * High ownership & impact: You will combine solution architecture, DevOps, and customer partnership in one high impact role. You will work on complex deployment challenges across leading biotechs and pharma companies * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into real insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl’s multi modal scientific processing pipelines. You will own the workflows that transform raw biological data into clean, reproducible outputs that power Mithrl’s AI Co-Scientist. These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow and nf-core style pipelines, implement modality-specific validation and QC layers, and collaborate with the Tabular Data Team and Knowledge Curation Team to ensure downstream data harmonization, variable ID mapping, and schema alignment. Your work ensures that scientists can ask questions and receive accurate data-backed answers instantly. If you enjoy building robust scientific workflows and want to work on high impact problems, you will thrive here. WHAT YOU WILL DO * Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq * Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability * Implement quality control, validation, and provenance tracking for all supported modalities * Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into Mithrl’s internal schemas, including variable ID coercions, metadata normalization, and feature name harmonization * Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies * Produce structured output artifacts so users can download processed data and supporting metadata directly through the platform WHAT YOU BRING Required Qualifications * 6 to 8 years of experience in bioinformatics workflow engineering or computational biology * Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems * Proficiency in Python or R for data processing, QC, and pipeline logic * Hands-on experience building pipelines for multiple biological data types, including genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics * Ability to design pipelines that are reproducible and containerized using Docker or Singularity * Strong understanding of secondary and tertiary data layers and how they integrate with downstream analysis systems * Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats Nice to Have * Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud * Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy * Familiarity with genomic reference databases, annotation formats, and biological ontologies * Previous work in a tech bio startup, biotech R&D group, or scientific software company WHAT YOU WILL LOVE AT MITHRL * You will build the core pipelines that transform raw biological data into insights used by the AI Co-Scientist * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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 Senior Machine Learning Scientist sf, ca Senior Machine Learning Scientist, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe's large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery. Qualifications - Essential PhD or equivalent practical experience in a technical field. A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models. Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas). A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action. Qualifications - Nice to have Prior experience with ML applied to problems in biology or chemistry. Familiarity with multimodal modeling, contrastive learning or self-supervised learning. Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention) Key Responsibilities Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq. Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets. Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses. Benefits Unlimited Paid Time Off (PTO). Monthly Lunch budget. One-time Office set up budget. US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents. $200,000 - $275,000 a year This position requires on-site presence at our South San Francisco office a minimum of three days per week. We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates. 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 Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Key responsibilities: * Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent * Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models * Develop robust evaluation frameworks to measure model alignment, safety, and output quality * Create and optimize data collection pipelines for human feedback and preferences * Design and conduct experiments to validate alignment techniques and their scaling properties * Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment * Mentor junior researchers and foster a culture of responsible AI development * Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models * Extensive experience implementing and optimizing large-scale training pipelines using PyTorch * Deep understanding of reinforcement learning techniques, particularly RLHF * Experience with distributed training systems and large-scale experiments * Proven track record in designing and implementing robust evaluation frameworks * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Strong software engineering skills and experience with complex shared codebases * Ideal candidate will have: * Experience with diffusion models or other generative architectures * Background in fine-tuning large language models or generative models * Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as constitutional AI or debate * Track record of successful collaboration with product teams * Experience with perceptual quality metrics and human evaluation design * Contributions to open-source projects in AI alignment or generative AI Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring an ML Engineer, Analysis and Simulation to build the core analytical and reasoning layer behind the Mithrl AI Co-Scientist. Your work will define how the AI interprets biological datasets, generates scientific conclusions, and orchestrates downstream simulation tools for drug discovery. You will develop the reusable analysis modules that Mithrl runs for every dataset, and you will design multi step agentic workflows that combine statistical analysis, biological reasoning, and computational modeling. You will also integrate and experiment with simulation tools for small molecule discovery, such as ADMET prediction, docking scoring, Boltzmann generators and related computational chemistry engines. This is the role that makes the AI Co-Scientist smart. If you have a strong background in ML, computational biology, and scientific analysis workflows, and you want to shape how AI reasons about biological systems, this is an exceptional opportunity. WHAT YOU WILL DO * Build AI driven analysis agents that perform biological reasoning across a wide range of datasets * Develop the standard analysis suite for each dataset, including modules for differential expression, pathway analysis, feature importance, clustering, scoring, enrichment, and mechanism-of-action interpretation * Build multi step workflows that combine ML models, statistical logic, and biological knowledge to produce high confidence insights * Design and implement agentic reasoning strategies that allow Mithrl to run dozens analyses per dataset and synthesize the outputs into a coherent scientific narrative * Integrate simulation and modeling tools for small molecule drug discovery, including ADMET prediction, docking scoring, generative chemistry tools, structure based modeling, and related computational frameworks * Collaborate with the data engineering, bioinformatics, and curation teams to ensure analysis modules operate on clean and consistent data * Validate results, benchmark pipelines, and ensure scientific accuracy and reproducibility of all analyses * Contribute to the long term architecture for how the AI Co-Scientist performs reasoning, hypothesis testing, and simulation WHAT YOU BRING Required Qualifications * Strong experience in machine learning, computational biology, or a related scientific ML field * Experience developing analysis modules for biological or scientific datasets * Familiarity with common techniques in target discovery, gene expression analysis, pathway inference, clustering, or statistical modeling * Hands-on experience with computational chemistry or simulation tools, such as ADMET models, docking, binding prediction, or molecular generative models * Proficiency in Python and scientific computing libraries * Experience designing multi step reasoning or workflow based ML pipelines * Ability to translate messy scientific questions into structured ML or analytical workflows * Strong communication skills and comfort collaborating with cross functional scientific and engineering teams Nice to Have * Experience with LLM powered scientific agents or multi agent architectures * Familiarity with phenotype based discovery, multi modal integration, or systems biology * Background in computational chemistry or structure based drug discovery * Experience with biological ontologies, curated knowledge graphs, or pathway databases * Prior experience in a tech bio company, biotech R&D group, or scientific platform team WHAT YOU WILL LOVE AT MITHRL * High ownership: You will define how the AI Co-Scientist thinks and reasons about biology * Impact: You will work at the intersection of ML, biology, and simulation, with direct impact on real discovery programs * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionAbout The Role: How do AI teams detect edge cases faster? What’s the best way for AI leaders to measure annotation pipeline performance? As our Technical Content Lead, you'll translate challenges you've likely faced yourself - dataset quality issues, annotation workflows, model performance issues - into content that resonates with AI and ML teams. You'll bring hands-on experience from data ops, ML engineering, or data infrastructure. You understand dataset quality issues, annotation workflows, and model performance issues. That technical foundation is what enables you to create content that drives measurable business impact through brand awareness and pipeline.We're trusted by 200+ world-class AI teams across robotics, logistics, automotive, insurance, gen AI and many others. If you want to create content at the intersection of cutting-edge AI applications and data infrastructure, this is your opportunity. What You'll Do: -Build a scalable content engine across key formats - video, webinars, podcasts, blogs - optimized for each stage of the buyer journey-Create sophisticated technical content that brings our AI data platform to life for executives and data practitioners-Collaborate with tech partners and leading AI teams to showcase cutting-edge use cases and real-world implementations-Develop customer stories and technical case studies-Create content for conferences, tradeshows, and executive roundtables-Partner with Encord Leadership and Product teams to align content strategy with business priorities-Pioneer new content formats that expand reach while generating measurable pipeline-Represent Encord at industry events and conferences (~2 weeks per quarter, Europe/USA) About You: -Technical foundation - background in data ops, ML engineering, or data infrastructure from either a hands-on technical role or a commercial/GTM role-Examples of technical backgrounds: data engineer who built labeling pipelines, ML engineer who worked on MLOps workflows for model deployment/monitoring/fine-tuning, or data scientist who optimized training datasets-Examples of commercial backgrounds: solutions engineer, technical product manager or sales engineer at data/MLOps / annotation platforms-You can read a technical architecture diagram, understand model evaluation metrics, and discuss dataset quality, annotation workflows, and model accuracy with technical practitioners-Comfort creating or directing diverse content formats - whether that's recording technical demos, participating in webinars, or developing event presentations-Ability to translate complex technical concepts (e.g., “best practices for VLA Segmentation for Robotics with SAM 3” or “what edge case detection should look like in practice”) into compelling narratives for both practitioners and executives-Strategic commercial mindset - you understand which content bets drive pipeline and revenue-Hands-on operator who develops strategy but also executes-Comfortable with ambiguity and fast pace - you take initiative and adapt quickly What we offer: • Competitive salary and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week in our loft office in North Beach.- 18 days annual leave a year + public holidays.- Annual learning and development budget.- Paid trips to visit prospects, attend conferences, host events across UK, Europe and US.- Company lunches twice a week.- Monthly socials & bi-annual off-sites.

Job DescriptionTo help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.comOur TeamFrom data scientists and actuaries to engineers, designers and marketers, we're a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. We've come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology—it's hiring the talented people who will help us continue to make a quantifiable impact.The role We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business. Your day-to-day • Drive Full-Cycle Solutions: You will spearhead high-impact modeling projects from the initial ambiguous question to the final deployed solution. This includes framing the business problem, designing rigorous experiments, and selecting evaluation criteria that directly connect to business value., • Engineer the MLOps Backbone: Build and own the automated systems that keep our models sharp. You'll design and implement robust pipelines for model retraining, monitoring, and alerting, creating repeatable CI/CD processes that ensure service stability and performance., • Elevate the Team: Act as a force multiplier for the team's talent. You'll actively mentor junior data scientists, lead knowledge-sharing sessions (like tech talks and paper reviews), and champion best practices that raise the bar for everyone., • Influence Business Strategy: Be the voice of data for your partners. You will translate complex technical concepts into clear, compelling insights for non-technical audiences, making recommendations that directly influence your functional team's priorities and decisions.About you, • Relevant degree OR equivalent relevant experience and;, • Experience: 10-12 years of work experience in data science., • Technical Mastery: Production-grade proficiency in Python and SQL and mastery of multiple data science libraries. You don't just write code; you write clean, scalable, and well-tested code, and are comfortable contributing to shared libraries., • Scientific Rigor: A proven track record of designing robust experimental frameworks and validation strategies. You know how to methodically test hypotheses and build models you can stand behind., • Business Acumen: The ability to see the business problem behind the data. You excel at turning vague challenges into well-defined data science projects with clear success metrics., • A Mentorship Mindset: You're a natural teacher and collaborator who enjoys elevating others. You are a trusted partner who is sought out for your ability to solve problems and explain complex ideas with clarity.Bonus points, • Advanced Credentials: PhD in a quantitative discipline or an actuarial designation (or progress toward one). Additional Details: • Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match., • Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day., • Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent., • Personal and Professional Development: We're committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp., • Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.