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Job DescriptionPOSITION SUMMARY:The Senior Scientist and Executive Director (ED) of the Envision Research Institute (ERI) is responsible for directing all activities required to conduct and monitor multiple research projects, lead and mentor scientists and fellows, and ensure alignment with Evnsion’s mission and strategic vision. The Sr. Scientist and ED of ERI helps formulate effective strategic goals and objectives and ensures implementation and operational integration of those goals and objectives as directed by the VP of FMS Operations. The Sr. Scientist and ED of ERI is responsible for financial viability of the department. The Sr. Scientist and ED of ERI works with the Research Program Manager to ensure equipment maintenance, policy and procedure updates, ethics training and IRB oversight of scientific staff.The Sr. Scientist and ED of ERI also maintains their own independent research and publishes in peer reviewed scientific journals.In addition, the Sr. Scientist and ED of ERI ensures ERI employees, fellows, and research assistants maintain compliance with all applicable standards and regulations. KEY RESPONSIBILITIES/ESSENTIAL FUNCTIONS INCLUDEOperational Oversight: • Oversee the Envision Research Institute department and infrastructure while ensuring that the plan and strategy of the research department are consistent with the Mission of Envision., • Advance Envision’s research arm engaging in quantitative, translational and applied low vision and blindness research that addresses the overall mission of Envision and research priority areas of Envision., • Conduct measurable, scientifically valid research that addresses practical issues in helping to close practice gaps in the clinical treatment and rehabilitation of persons who have low vision or blindness., • Create and chair Envision Research Advisory Panel with members from Envision and other collaborating institutions to peer review preliminary research proposals for conceptual compatibility with Envision’s research priority areas, scientific merit, adherence to human subject guidelines and Envision budget guidelines., • Lead efforts to develop and stimulate participation in clinical research activities that encourage collaborations between Envision and the public and private sectors., • Plan, direct and evaluate the operations of the research department, as well as infrastructure support as they relate to the research department, assuring the accomplishment of Envision’s mission, strategic goals and institutional objectives., • Manage and secure Institutional Review Board review for research projects approved by the Envision Research Advisory Panel., • Establish and oversee grants administration pre- and post-award function, within Envision’s organizational grant framework, to obtain and manage research funding., • Seek outside research funding from both government (National Institute of Health, National Scientific Foundation, Department of Education, etc) and non-government sources and develop collaborative research with other institutions., • Maintain a high degree of awareness of the current state of low vision and blindness rehabilitation research and advancements as it relates to Envision by attending relevant symposia, scientific meetings and workshops, and reviewing key journals., • Provide leadership in the utilization and implementation of continuous process improvement strategies, with the key objectives of creating change that positively affects cost, efficiency, compliance, and quality., • Track research key performance indicators (publications, fellows trained, conference presentations, etc.), • Ensure adequate and useful resources, technology, equipment, and support are in place to support the work of research team members who are low vision or blind. Financial and Strategic Management: • Assists the VP to develop and implement the annual strategic plan and objectives for the research instutute., • Monitor and manage the annual operational budget and financial affairs of the research department, emphasizing cost containment without compromising quality of care, • Oversee software implementation, updates and training, ensuring efficient implementation across locations., • Oversee, with support of the Research Program Manager, institute resource procurement and maintenance, including equipment, software, library resources and vendor management. Leadership and Staff Development: • Foster a culture of excellence through continuous improvement, teamwork, and a positive work environment., • Oversee recruitment, development, and performance evaluation of employees., • Work with multi-divisional functions (e.g., finance, IT, human resources, marketing, compliance) to ensure acquisition and training of qualified staff, development and activation of effective policies and procedures, • Promote research integrity and responsibility while ensuring that all Envision staff participate in research endeavors adhere to regulations, policies, procedures and strict standards of ethical conduct., • Ensure continuing education and professional development of Envision’s research staff., • Personify and promote Envision’s core values of integrity, curiosity, passion, initiative, teamwork, and excellence., • Thrive in a fast-paced, dynamic environment, adapting to changing priorities and proactively problem-solving with a focus on solutions-oriented outcomes. Partnership Development and Communication: • Participate in community outreach activities to promote science and low vision and blindness education., • Present the process, goals, and results of Envision’s research at key research venues including meetings, conferences and through publication in peer reviewed journals., • Provide leadership in internal and external communications to ensure the organization’s mission and services are well understood., • Maintain open lines of communication to executive and peer leaders on issues concerning assigned areas of authority and current trends in the field., • Maintain confidentiality and protect the organization’s value by upholding the highest standards of privacy., • Collaborate cross-departmentally to develop partnerships, funding, and resources while advising on Envision research projects, development and areas of scientific interest to Envision. Research: • Participate in research projects as a Principal Investigator or Co-Investigator when appropriate., • Complete ethics training to perform research on human subjects, • Develop a rigorous scientific research methodology and obtain ethical approval for the study., • Conduct research projects independently in the field of low vision and blindness., • Develop research protocols, recruit suitable research participants, collect data, and complete projects in a timely manner., • Perform data analysis using appropriate statistical tests as outlined in the protocol., • Present research findings at national and international conferences attended by other vision scientists for peer review., • Publish scientific manuscripts in high-impact, peer-reviewed vision science journals., • Contribute to the advancement of science through innovative research projects that aim to improve the quality of life for individuals who are low vision or blind. Other Duties: • Assist with special projects as needed., • Flexibility to perform other duties as assigned., • Ability to travel up to 25% of scheduled time. Qualifications: JOB REQUIREMENTS INCLUDE (List as required or preferred)Education: PhD in psychology, biology, neuroscience, vision science, engineering, human factors or other field relevant to the study of blindness and visual impairment, or OD or MD required. Experience: • Minimum 5-10 years in the research field with significant research management experience, including considerable familiarity with research business practices, strategic planning, financial planning, and business development., • Minimum 3-5 years in the low vision and blind research specialty., • Minimum of 7 years of successful, demonstrated experience raising significant funds in the non-profit sector., • Demonstrated research independence., • Published scientific manuscripts over at least the last 5 years., • Minimum of 5-10 years of experience presenting research findings at conferences and to peers., • Experience in creating and implementing efficient processes required., • Experience in documenting procedures and policies required., • Experience with training adult learners preferred., • Experience with driving culture change and/or fostering healthy work environments preferred. Knowledge/Skills: • A thorough understanding of research methodology, including study design, protocol writing, clinical research form preparation, and knowledge of Good Clinical Practice regulatory requirements., • Scientific networking skills as well as extensive knowledge of federal and state policies governing research., • Strong ability to write and review manuscripts for peer reviewed publication in scientific journals., • Demonstrated ability to develop and manage a diverse staff, while possessing a commitment to quality, integrity and engaging interpersonal and public communication skills., • Must possess a high level of competency in statistical data analysis (statistical process control, analysis of process and product stability and capability) and ability to proficiently utilize statistical analysis software (SPSS)., • Excellent communication skills, both written and verbal, as well as presentation skills., • Highly organized, detail-oriented, self-directed, and resourceful with strong service orientation., • The ability to work effectively as part of a senior leadership team characterized by trust, open communication, collaboration, and shared goals., • Thrive in a fast-paced, dynamic environment, adapting to changing priorities and proactively problem-solving with a focus on solutions-oriented outcomes., • Knowledge of change management preferred., • Knowledge in continuous process improvement methodology preferred., • Ability to read, interpret, and understand contracts and other legal documents. Licenses/Certifications: NA SUPERVISORY RESPONSIBILITIES:Total Number of Employees Directly Supervising: 2-4_ Number of Subordinate Supervisors Reporting to Position: 0_ VISION REQUIREMENTS INCLUDE (check one) Can be performed with or without assistive technology:X Required to perform activities such as: preparing/analyzing data/figures; viewing computer screen; reading; inspecting small objects for defects; using measuring devices; and/or assembling parts with close eye contact. _ Required to perform activities such as: operating machinery and/or power tools at or within arm’s reach; performing non-repetitive tasks such as carpentry work or repairing machinery. X Required to review/inspect own assigned work, the work of others, or facilities or structures. Requires normal (or corrected to normal) vision/acuity:_ Required to operate motor vehicles and/or heavy equipment such as forklifts. COMMENTSEnvision, Inc. is an Equal Opportunity Employer and does not discriminate on the basis of any legally protected status or characteristic. Protected veterans and individuals with disabilities are encouraged to apply.Envision, Inc. employs and advances in employment individuals with disabilities and protected veterans, and does not discriminate on the basis of disability or veteran status in its hiring or employment practices.Reasonable accommodations are available to enable individuals with disabilities to perform the essential functions of a position.

Senior Bioinformatics Scientist ( ctDNA ), San Diego, CA / Remote (US) - $150,000 - $180,000 Are you passionate about advancing cancer diagnostics through cutting-edge bioinformatics and testing? Our client, an innovative biotechnology company focused on molecular diagnostics, is seeking a Senior Bioinformatics Scientist to lead the development of next-generation laboratory-developed tests in a highly collaborative and regulated environment. Who you are: • PhD in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a related quantitative field (or MS plus additional industry experience)., • 6+ years of experience in biotech, diagnostics, or regulated healthcare environments., • Hands-on experience developing NGS-based clinical assays, including ctDNA and MRD applications are a must., • Strong Python programming skills with experience building production-grade bioinformatics pipelines and following SDLC best practices., • Proven success working within CAP/CLIA, IVD, FDA, or similarly regulated development environments. What you'll do: • Lead bioinformatics strategy, development, optimization, and validation efforts for MRD diagnostic assays., • Design and execute analytical studies evaluating assay performance, including sensitivity, accuracy, reproducibility, and limit of detection., • Develop and maintain scalable bioinformatics pipelines for QC, variant calling, MRD detection, and reporting., • Collaborate with assay development, clinical, quality, regulatory, software, and data science teams to deliver validated solutions., • Mentor junior scientists and contribute to technical documentation, audits, and regulatory submissions. What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and education. The expected range for this role is $150,000-$180,000 per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience. What's next? Please email your resume to if you're excited to explore this opportunity with our client. We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

Clinical Scientist Kelly Science & Clinical FSP is seeking a Clinical Scientist for a long-term remote engagement supporting a global pharmaceutical client. This individual will work closely with the Clinical Scientist Protocol Lead and study team to support the clinical and scientific execution of clinical studies. Key Responsibilities • Assist the Clinical Scientist Protocol Lead and study team with the clinical/scientific conduct of clinical studies, • Support medical monitoring activities, adjudication, imaging data reconciliation, and preparation of study meeting materials, • Review clinical study data and assist with identification and resolution of data discrepancies and queries, • Support protocol deviation review and management, • Review patient data, including adverse events, laboratory results, endpoints, and other clinical information, • Support one or multiple clinical studies depending on study needs, • May lead a study or workstream with limited scope, such as survival follow-up, • Interact with internal and external stakeholders, including study sites and committees, to support clinical study objectives Qualifications • Degree in Life Sciences required (BS/BA/MS/PhD), • Minimum of 2 years of pharmaceutical and/or clinical drug development experience within the last 5 years, • Experience may come from pharmaceutical/biopharmaceutical companies, CROs, hospitals, research sites, clinical trial units, or SMOs, • Experience reviewing and resolving study-related data issues, including queries and medical record/data review, • Ability to identify data discrepancies requiring clarification with clinical study sites, • Experience reviewing patient data and resolving discrepancies involving adverse events, laboratory results, endpoints, and safety data preferred, • Therapeutic-area experience required for Oncology positions; indication-specific experience preferred, • Strong written and verbal communication skills, • Proficiency with Microsoft Outlook, Word, Excel, and PowerPoint; OneNote experience preferred

Drug Discovery Scientist Position: Drug Discovery Scientist Type: Hourly Contract Compensation: $60–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Drug Discovery Scientists to contribute to an advanced AI research and evaluation project focused on pharmaceutical research and development. You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through incomplete, indirect, and potentially misleading scientific evidence. You'll create research prompts, build supporting data rooms using real source-grounded information, develop rigorous grading frameworks, and validate the resulting tasks. The role is ideal for experts who can distinguish genuine scientific reasoning from pattern matching and confidently evaluate the quality of complex research conclusions. Responsibilities • Design challenging, realistic drug discovery research problems based on authentic scientific workflows., • Develop research scenarios where the correct conclusion must be derived from multiple pieces of evidence rather than directly stated., • Build comprehensive data rooms using real, source-grounded scientific data and documentation., • Ensure every decisive scientific value and piece of evidence can be traced back to a reliable source., • Create detailed grading documents and evaluation rubrics that assess scientific reasoning and substantive conclusions., • Evaluate AI-generated research outputs for scientific accuracy, logical consistency, and defensibility., • Run verification and calibration processes to ensure tasks are reproducible, appropriately difficult, and objectively scorable., • Identify weaknesses in task design, evidence, or evaluation criteria and revise them accordingly., • Provide expert judgment on scientific questions, task difficulty, and the quality of AI reasoning., • Collaborate with project reviewers and other domain experts to refine research tasks. Required Qualifications • Professional expertise in one or more of the following areas:, • Mechanistic enzymology, • Structure-guided peptide design, • Structure-guided antibody design, • Fragment-based drug discovery, • Structure-based medicinal chemistry, • PhD or equivalent industry experience in drug discovery, medicinal chemistry, chemical biology, biochemistry, or a closely related field., • Strong understanding of drug discovery research methodologies and scientific evidence evaluation., • Ability to construct complex scientific problems with defensible conclusions., • Strong analytical and critical-thinking skills., • Ability to evaluate scientific reasoning quality, not simply final answers., • Strong scientific writing and documentation skills., • Comfortable working independently in a remote research environment., • Ability to commit at least 20 hours per week. Preferred Qualifications • Experience designing or evaluating drug discovery research strategies., • Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery., • Experience working with scientific literature, experimental datasets, structural data, and research documentation., • Experience developing research assessments, scientific benchmarks, or evaluation frameworks., • Familiarity with open-source scientific tooling and computational research workflows., • Experience evaluating AI-generated scientific research or technical outputs is a plus., • Strong ability to distinguish defensible scientific conclusions from unsupported assumptions or superficial reasoning. Compensation • Competitive compensation of $60–$90/hour., • Hourly contract engagement., • Fully remote., • Minimum commitment: 20 hours/week., • Up to 40 hours/week available., • Claude Max subscription required for the project and fully reimbursed., • Work conducted through a browser-based research studio and Claude Code. Application Process • Apply to the role, • Complete the required screening questions, • Provide details about your drug discovery and scientific research experience, • Complete the relevant scientific assessment, • Participate in the evaluation/interview stage, • Complete onboarding and tooling setup, • Begin designing and evaluating drug discovery research tasks

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We created the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the top 10 by AUM and the world's leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: a private equity investment arm, an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, GSB, HBS, and Wharton. Our leadership includes early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders, not slide-makers. About the Role: We are hiring a Forward Deployed AI Engineer to join our AI transformation team. This is not a typical software engineering role. You will not be maintaining a single codebase or optimizing one product. You will be building and deploying AI solutions across dozens of companies, industries, and problem domains, working directly with clients and PE sponsors to solve their highest-value business problems with production-grade GenAI, ML, and automation. In a given month, you might build a RAG system that automates a core operational workflow for a healthcare services company, deploy an ML model that optimizes pricing for a financial services platform, architect a data pipeline that unlocks analytics capabilities for a business that has never had them, and mentor junior engineers on the team through all of it. Every solution you build is tied to measurable business impact. You will see your code move EBITDA, not just pass tests. This role sits at the intersection of engineering excellence and client impact. You will be in the room with executives and PE partners, translating business problems into technical architectures, then building and shipping the solutions yourself. If you want to be the best AI engineer in the world, there is no faster way to get reps across industries, problem types, and AI techniques than this role. About You: You are an engineer who builds fast, ships to production, and cares about business outcomes, not just technical elegance. You are comfortable working directly with non-technical stakeholders, translating ambiguous business problems into clean technical solutions, and iterating in tight cycles. You take pride in code that works in the real world, not just in a notebook. Specifically: • 3+ years of experience building and deploying software products end to end (design, implementation, testing, deployment, maintenance), • Expert in Python (Django, Flask, FastAPI, Pandas, etc.) and/or JavaScript (React, Node). These are our primary languages and you should be deeply fluent in at least one., • Strong experience with SQL, data modeling, and cloud infrastructure (AWS, GCP, or Azure), • Hands-on experience with generative AI: you have built RAG systems, AI agents, prompt engineering pipelines, fine-tuned models, or similar. This is not a "nice to have," it is core to the role., • Experience with data engineering, integrations, ETL/ELT pipelines, and working with messy, real-world data, • Experience with data science and ML: NLP, recommender systems, classification, regression, neural networks. You don't need to be a research scientist, but you should be comfortable selecting, training, and deploying models., • You have owned production systems. You know what it means to deploy, monitor, debug, and maintain software that real users depend on., • You are comfortable in client-facing environments. You can explain technical trade-offs to a CEO, scope a solution with a business stakeholder, and present a demo to a PE partner., • Experience managing or mentoring other engineers is a strong differentiator. You will be expected to elevate the technical bar of the broader team., • B.S. or M.S. in Computer Science, Engineering, or a related technical field, • Legally authorized to work in the US What Sets the Best Candidates Apart: The engineers who thrive at SaxeCap are a specific breed. They combine deep technical skill with business intuition and client presence. The strongest signals we look for: • Production over theory. You have shipped AI systems that real users and real businesses depend on. Kaggle competitions and research papers are fine, but we care most about code running in production with measurable impact., • Breadth and speed. You can pick up a new domain, a new tech stack, or a new problem type and be productive in days, not months. You've worked across multiple problem areas and can context-switch without losing quality., • Full-stack AI fluency. You don't just build models. You build the data pipelines that feed them, the APIs that serve them, the frontends that expose them, and the monitoring that keeps them running. You think in systems, not components., • Client-facing instinct. You can sit in a room with a CFO or a PE partner, understand what they actually need (not just what they say they need), and translate that into a technical plan on the spot. The best FDAIs at SaxeCap are as comfortable in a boardroom as they are in a terminal., • Builder DNA. Open-source contributions, side projects, hackathon wins, or a startup attempt. You build things because you can't help it. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact. You will get more reps across AI techniques, industries, and business problems in one year at SaxeCap than in five years at a typical tech company.

Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data. We need a Data Scientist with a proven track rec

As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. Explore our data and systems, prototype ideas, run experiments to validate them and propose

Leadership in data science: experience leading cross-functional teams of data scientists, data engineers, and data or cost analysts, and defining a data strategy aligned to organizational goals. Knowledge and experience performing cost estimating and analysis on major defense systems, including typi

Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of

Founding AI Scientist - Pathology Foundation Models Remote (Must be US Based) The Role You will lead the strategy and development of pathology foundation models, shaping how they are designed, trained, evaluated, and deployed into clinical and pharmaceutical applications. This is a highly cross-functional role spanning research and production. You will define how foundation models integrate with biological context, multimodal data, and downstream decision-making systems moving beyond isolated model improvements to building end-to-end, real-world solutions. As an early-stage hire, you will play a key role in shaping both the technical direction and the organisation itself. Required Experience • Strong publication record in machine learning, including multiple first-author papers at leading conferences or journals, • Deep understanding of modern ML architectures (e.g. transformers, attention mechanisms, state-space models, mixture-of-experts), • Experience working with GPU clusters and large-scale ML infrastructure (e.g. Kubernetes, SLURM, or similar), • Solid software engineering skills and ability to build production-grade systems, • Excellent communication skills, with the ability to convey complex ideas to both technical and scientific audiences Preferred Background • Experience in oncology, cancer biology, or drug development, • Exposure to biomedical or healthcare foundation models, • Experience with multimodal and cross-modal learning systems, • Familiarity with healthcare regulatory frameworks (e.g. FDA, HIPAA), • Contributions to open-source ML ecosystems, • Experience working with distributed or community-driven research groups, • Previous experience in a startup or early-stage environment To apply please reach out to Sam Shinner at Discover International

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. Position Summary Sapio Sciences is looking for a Director of Field Marketing to own our global events strategy across the UK, Europe, and North America. This is a high-impact, hands-on role for someone who thrives at the intersection of strategy and execution — from selecting the right tradeshows and industry conferences to designing the booth, managing the budget, and turning attendee lists into pipeline. You'll run webinar programs end-to-end, partner closely with Product Marketing, Commercial Partnerships, and Sales to ensure every event drives measurable ROI, and build the team and processes needed to scale field marketing as we grow. Essential Responsibilities • Own the end-to-end events calendar across UK, Europe, and North America, including tradeshows, industry conferences, webinars, and field/regional events from selection through post-event reporting, • Communicate field marketing strategy, planned programs, and expected outcomes to the broader team on a regular cadence, • Manage all event logistics: booth design and build, shipping, staffing, vendor contracts, lead capture setup, and on-site execution, • Plan and run webinar programs, including topic selection, speaker coordination, promotion, and post-event follow-up sequencing with Marketing, • Build and manage event budgets; negotiate with venues, booth vendors, and sponsors to maximize ROI, • Partner with Product Marketing to ensure event messaging, collateral, and demos reflect current positioning and active launches, • Partner with the Director of Commercial Partnerships to align event objectives with partner marketing strategies and co-marketing initiatives, • Coordinate with Sales on target account lists and pre-event outreach so tradeshow attendance converts to pipeline, • Manage relationships with industry associations and conference organizers (e.g. SLAS, Bio-IT World, and similar life sciences and informatics events), • Track and report on event performance, leads generated, pipeline influenced, cost per lead, ROI and post event reports to apply findings that shape the forward calendar, • Manage and develop event coordinators, contractors, and agency partners supporting field programs, • Train booth staff on event etiquette, lead capture best practices, and on-site messaging consistency, • Travel on-site to run events in person across all regions as needed; estimated at 20% of time Required Education & Experience • 5+ years in B2B field marketing or event marketing, • Proven track record running tradeshow programs end-to-end, including budget ownership, vendor negotiation and ARR contribution, • Experience running webinar and virtual event programs on with such tools as Go To Webinar, Zoom, etc, • Comfortable working across UK, EMEA and US time zones and travel logistics, • Very strong project management skills using tools like Asana, Trello, where you can run multiple events in parallel without dropping details, • Experience working with CRM/marketing automation platforms (HubSpot preferred) for lead capture, tracking, and reporting, • Clear, direct communicator who can work cross-functionally with Sales, Product Marketing, and executive stakeholders, • Strong preference to candidates with SAAS (software as a service) experience, • Nice to have: Existing familiarity with life sciences, laboratory informatics, LIMS, or regulated lab markets Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Company has already shared a model validation dataset with PC's data science team. Work with the hiring manager and the technical lead on Company's Legal, Compliance, and Trust reviews of data exchanged with PC, starting with the training data, and on model risk questions from PC. You lead the data

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Principal Data Scientist Job requirements • Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions Key Responsibilities: • Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics, • Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting, • Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact, • Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering, • Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks, • Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models, • Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI, • Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team Required Skills: • Expertise in hypothesis testing, including T-Test and Z-Test methodologies, • Advanced proficiency in regression techniques (linear and logistic), • Strong programming skills in Python, PySpark, and R/R Studio, • Hands-on experience with SAS and SPSS for statistical analysis and computing, • In-depth knowledge of probabilistic graph models, • Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX, • Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM), • Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet, • Familiarity with distance metrics (Hamming, Euclidean, Manhattan), • Working knowledge of Kubeflow and BentoML for model deployment and orchestration Preferred Skills: • Experience implementing advanced model monitoring with Evidently AI, • Expertise in data pipeline automation and orchestration using Kubeflow, • Knowledge of emerging ML frameworks and architectures, • Experience with large-scale distributed computing environments, • Strong background in statistical validation and reproducibility best practices Desired Qualifications: • Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field, • Relevant certifications in machine learning, statistical analysis, or advanced data science Know more about Data and AI: https://www.brillio.com/services-data-analytics/ Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/ Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. Know what it’s like to work and grow at Brillio: Click here

Our client, a major legal company, is actively looking for a Senior Data Scientist to join their team! This is a fully remote position, however candidates must be located in the US and able to work EST hours. We are seeking a Data Scientist to develop and evaluate AI solutions for legal content work

Data Analyst / Data Scientist (Utility Analytics).Contract (1–2 Years, Special Project).We are seeking a detail-oriented.Customer Analytics and Digital Products team on a high-impact, special project.In this role, you will analyze large-scale utility datasets, evaluate customer-facing digital prod

Data Scientist | AI & Machine Learning. Position: Data Scientist | AI & ML Analyst. Data Scientist | AI & Machine Learning.

They’re hiring a Principal Data Scientist to be the hands-on technical lead for the team that turns this data into statistical methods and machine learning models. Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data). ML Scientist, Statistical Modeling, Predictive Modeli

We are seeking a Data Scientist, Associate to build RoboStrategy’s data capability from the ground up. Join the team at RoboStrategy as Data Scientist, Associate. Bring together shareholder records, 13F filings, DTC position reports and allocator databases into a single view connected to our CRM,

We're looking for a Junior Data Scientist to join a growing analytics team focused on building data-driven solutions and improving business performance through modern technologies. Clear communication skills — able to explain data insights to non-technical audiences. Analyze and interpret large da

Principal Data Scientist - Quantitative Intelligence. ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML,

You’ll join our Data team, report to our Head of Data, and help shape how data science is used across the company. Skool is hiring its first ever Data Scientist. Own data science work across growth, product, and user engagement, from analysis through measured results.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Strong practical data science skills, including working with messy enterprise data and translating business problems into actionable analysis. Basic understanding of production data/ML concepts, including pipelines, data quality, reproducibility, versioning, deployment, and monitoring. Working exper

We are seeking an experienced AI Data Scientist to join Deltek’s growing AI Center of Excellence team to design, build, evaluate, and optimize enterprise AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), multimodal AI, Opensource AI Models, and

Our client seeks a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists. Define technical vision and strategy for data-driven product

This role will work across both Data Science and Data Engineering, with a focus on analyzing operational data, developing performance benchmarks, maintaining dashboards, and troubleshooting vendor-facing data challenges. Data Science, Data Analytics, Analytics Engineering, Data Engineering, or a rel

Data Scientists and Quantitative Professionals. Assess data analysis, experimentation approaches, and data modeling techniques. Ability to develop rigorous datasets and reference solutions for complex analytical problems.

Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards. Snowflake Cortex AI / ML Functions for in-database ML. Data Analysis & Pipeline Ownership.

Data Scientist (Live Anywhere). Perform Exploratory Data Analysis (EDA). Proven track record of deploying models and data pipelines in cloud environments, preferably on GCP or other cloud platforms.

We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting

Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and prepa

As Scientist / Lead, Translational Data Platforms, you will play a pivotal role in shaping how researchers interact with complex clinical and multi-omic datasets, influencing platform strategy, developing innovative analytical capabilities, and helping build technologies that enable the next generat

Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. The Senior Data Scientist, Advanced Analytics, develops machine learn

Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models. Additional incentives data is based on payments made in the past six months and is updated quarterly.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models. Additional incentives data is based on payments made in the past six months and is updated quarterly.

At Key, we realize that our team is our best asset.We are committed to hiring the finest personnel and providing them the tools they need to succeed.Key Construction is a leading commercial construction company, serving nearly 40 states nationwide.Join a team that values building quality projects, w

Residential Remodeling Project Manager.Wichita, KS | Full-Time | $55,000–$60,000 + Performance Bonus.We're a growing Wichita residential remodeling company currently on track for approximately $4.Residential Remodeling Project Manager.This isn't a position where you'll simply check schedules and p

Project Manager – Experimental Flight Test.We are seeking an experienced Project Manager to support Experimental Flight Test programs within a dynamic aerospace environment.This role will be responsible for leading complex development and certification flight test projects, coordinating cross-func

Construction Project Manager (Industrial).Base + Bonus + Relocation Assistance | Wichita, KS.Ready for a role where you can own major projects without spending your life on the road?.We're hiring experienced Project Managers to lead complex industrial construction and capital projects from planning

A strong Project Manager sees the whole picture: the budget, the schedule, the people in the field, and what the client needs next.That’s the kind of PM this Wichita team is looking for.A respected Kansas-based commercial contractor is adding a Project Manager to its Wichita team.The office has a

Our client, an established and growing industrial construction and engineering firm, is hiring a Project Manager to lead large-scale construction projects at industrial and energy facilities.This is a high-visibility role with ownership of projects from planning through closeout, and a clear path to

Oversee and troubleshoot data integrity and system integrations between NetSuite and ancillary systems (e. CPQ, Commerce platforms, ZIP, Data Lake etc. Governance and Documentation: Partner cross-functionally with Engineering, Enterprise Architecture, Procurement, Legal, Security and Data teams to e

Assistant Project Manager | Industrial Construction | Relocation Available.Years | Early-Career Construction Professionals.Construction, Engineering, Energy & Manufacturing.Ready to go from supporting projects to running them?.If you're a Project Engineer, Project Coordinator, Field Engineer, or ear

Translate clinical and product needs into clear ML objectives, data strategies, model approaches, and success criteria. Work with image, report, and other clinical data to develop systems that are useful in real radiology workflows. Experience owning substantial ML projects across the full lifecycle