Every 4.5 minutes, a baby is born with a birth defect in the United States. Unfortunately, many of these defects go undetected during prenatal scans, at a time when they are still easily treatable. This is caused by limited access to maternal care, the complexity of the defects, and the range of accuracy produced by the subjective interpretation of ultrasound imaging. Furthermore, this issue is exacerbated by a global shortage of maternal healthcare providers, particularly in rural areas. 

We are on a mission to solve that by advancing and democratizing the highest standard of prenatal ultrasounds through our proprietary AI.

Our technology harnesses the power of AI to support a broad spectrum of healthcare providers in rural and urban communities, allowing them to practice at the top of their licenses. With AI in the imaging workflow, clinicians can more confidently deliver timely interventions, enhance pregnancy outcomes, identify high-risk pregnancies to reduce maternal mortality, and significantly lower infant mortality rates.

Industry: Hospitals and Health Care
Company Size: 11-50 employees

Origin Medical

Savvy Admin PROD

About Origin Medical Here, we strive to bring together the best and brightest minds at the intersection of AI and healthcare to fulfill Origin Medical’s mission.

By combining the knowledge of healthcare and AI, it is on a journey to build state-of-the-art solutions aimed at supporting a broad spectrum of healthcare providers in rural and urban communities, allowing them to practice at the top of their licenses. With AI in the imaging workflow, clinicians can more confidently deliver timely interventions, enhance pregnancy outcomes, identify high-risk pregnancies to reduce maternal mortality, and significantly lower infant mortality rates.

Origin Medical, headquartered in Cambridge, Massachusetts, USA, is driven by a mission to advance maternal health equity by improving access to quality prenatal care with artificial intelligence.

**About the Translational Research Scientist role **

We are seeking a highly motivated Translational Research Scientist to support a growing clinical AI imaging research program focused on prospective clinical validation, quantitative study design, and real-world healthcare implementation.

In this role, you will work closely with clinician investigators, engineers, and consulting statisticians across a diverse portfolio of projects, including AI-enabled imaging research, clinical workflow and ergonomics studies, and healthcare economics and outcomes research.

We are looking for someone who can help drive rigorous scientific execution, identify methodological challenges early, coordinate complex multidisciplinary studies, and contribute to publication-quality translational research.

The ideal candidate is intellectually rigorous, detail-oriented, proactive, and excited to help build high-impact translational research programs spanning clinical AI, workflow optimization, and healthcare outcomes.

**W ****hat will you do? **

- Assist with the design and execution of clinical AI and imaging studies

- Help develop study methodologies, endpoints, and analysis plans

- Identify potential sources of bias, confounding, and study-design weaknesses

- Coordinate closely with engineering and statistical teams

- Propose alternative analyses and study strategies to strengthen scientific rigor

- Support manuscript preparation, figures, abstracts, and grant development

- Help manage timelines, data workflows, IRB coordination, and research operations across multiple concurrent studies

- Contribute to company research initiatives

**Who are we looking for? **

- Background in Epidemiology, Biostatistics, Biomedical Informatics, Health Services Research, Clinical Research Methodology, Translational Medicine, or Quantitative Public Health Research preferred.

- MPH, MS, PhD, or equivalent research training is preferred.

- Experience with clinical or translational research studies and a strong understanding of study design and statistical methodologies.

- Prior publication or academic research experience is preferred.

- Excellent organizational, analytical, and project-management skills with the ability to work independently in multidisciplinary research teams.

- Familiarity with AI/ML concepts in healthcare research is preferred, though advanced coding expertise is not required.

**Working at Origin Medical **

- You will receive competitive monthly compensation aligned with industry standards. Additionally, we provide a comprehensive benefits package, including:

- 401(k) retirement plan

- Basic health benefits, including dental and vision coverage

- You will work with an exceptional team of highly qualified individuals who strive towards a common goal of delivering a product that improves the standard of care for expecting mothers everywhere.

- At Origin Medical, we take pride in fostering an inclusive and optimistic company culture that values collaboration, teamwork, and work-life balance. As a valued member of our team, you will have the opportunity to grow in a supportive environment where colleagues genuinely care about each other’s success and well-being.

~~This job posting is valid only on our official LinkedIn page and the mentioned URL. We are not responsible for any job postings or advertisements on third-party sites not listed above. ~~

~~Please note that our company does not charge any fees for internships or job applications. Any such requests for payment should be considered fraudulent. We strongly advise you to report any suspicious activity involving our name to the appropriate authorities. ~~

~~Any unauthorized use of our job postings, company information, or data by third parties for their business activities is strictly prohibited. Such actions may be in violation of the Information Technology Act and will be subject to legal penalties under applicable laws. ~~

~~The information provided in this job posting outlines the general nature of the role. It is not an exhaustive list of responsibilities, duties, or skills required. The company reserves the right to make changes to this description at any time based on business needs. ~~

~~Our company is an Equal Opportunity Employer, and we do not discriminate based on race, color, religion, gender, national origin, age, disability, sexual orientation, or any other status protected under federal, state, or local laws. ~~

Translational Research Scientist-Clinical AI & Quantitative Research

At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome.

Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients.

Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do.

Review our Social Media Community Guidelines at: https://www.bms.com/social-media-community-guidelines.html

Industry: Pharmaceutical Manufacturing
Company Size: 10,001+ employees

Bristol Myers Squibb

**Working with Us**

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us .

**Summary**

As a Senior Data Scientist within Bristol Myers Squibb's AI Venture Studio delivery team, you will be a hands-on senior individual contributor who helps convert ambiguous scientific and business opportunities into measurable AI product hypotheses, experiments, and working solutions. You will partner with AI Engineers, Data Engineers, App/Cloud Engineers, Frontend Engineers, product owners, and domain experts to build and evaluate AI systems across R&D, Commercialization, Manufacturing, and Enabling Functions.

The role sits at the edge of applied data science and AI engineering you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust. You will help define the good analytical context agents need to perform reliable work, including query history, column values, explicit instructions, memory, data tools, warehouse context, and curated source meaning.

BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs. This is a role for someone excited to work hands-on with the latest AI tools and frontier technologies, pushing the limits of what technology can do to help BMS discover, develop, and deliver innovative medicines.

**Key Responsibilities**

**AI/ML Experimentation and Product Prototyping**

- Frame ambiguous business and scientific questions into measurable AI product hypotheses, success metrics, evaluation plans, and rapid experiments.

- Contribute to six-sprint, 12-week AI Accelerator agile cycles by testing hypotheses, validating AI product increments, and adapting analyses during two-week sprints.

- Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services.

- Support sandboxed data problem solving in non-production environments, enabling agents and analysts to branch, transform, test, and audit code-plus-data experiments before promotion.

- Evaluate and curate the analytical context agents and analysts rely on, including explicit instructions, memory, data tools, and curated meaning from source materials and recommend improvements based on measured impact on agent quality. Develop analytical features, embeddings, classifiers, ranking/scoring methods, recommendation logic, simulation approaches, or optimization methods as needed for product outcomes.

- Partner with Data Engineers to shape reliable datasets, retrieval corpora, metadata, and feature pipelines using S3, Athena, PostgreSQL/RDS, vector databases, and knowledge graphs.

**Agentic AI, Retrieval, and Evaluation Science**

- Design and execute evaluations for LLM, RAG, and agentic workflows, with emphasis on context quality, knowledge curation, semantic evolution, and model quality.

- Build evaluation rubrics, golden datasets, structured output validation, error taxonomies, hallucination risk measurement, and SME review loops.

- Use tools such as LangGraph, LangSmith, PydanticAI, or similar frameworks to test agent behavior, retrieval quality, reasoning traces, and workflow reliability.

- Evaluate whether curated enterprise context improves agent quality, reliability, traceability, and decision usefulness compared with raw document retrieval.

- Assess model and agent outputs for quality, uncertainty, calibration, bias, hallucination risk, traceability, and fitness for intended use.

- Explore approved proprietary and open model options through enterprise channels and recommend model/task pairings based on evidence, risk, cost, and performance.

**Decision Science, Analytics, and Impact Measurement**

- Define KPIs and analytical measurement plans for AI products, including adoption, user behavior, workflow efficiency, scientific utility, and business value.

- Use bi-weekly demos, sprint reviews, stakeholder feedback, and performance results to measure MVP progress and assess readiness for scaling or production transition.

- Apply statistical modeling, experimental design, causal inference, or quasi-experimental methods where appropriate to separate signal from noise.

- Create clear analyses, visualizations, and narratives that help product teams and stakeholders understand model behavior, limitations, and opportunities.

- Partner with responsible AI, security, quality, and domain experts to ensure evaluations and analytics respect data privacy, scientific integrity, and enterprise governance.

**Reusable Patterns, Collaboration, and Technical Leadership**

- Contribute reusable notebooks, context-quality evaluation harnesses, analytics templates, prompt/evaluation assets, and data science patterns that can be adopted across pods.

- Participate in code reviews, analysis reviews, design discussions, and technical problem-solving with engineering and product teams.

- Use coding agents and AI-assisted development tools effectively while validating outputs, documenting assumptions, and maintaining scientific rigor.

- Continuously refine analytical priorities and backlogs as insights emerge, incorporating stakeholder input, performance results, and lessons learned throughout MVP development.

- Coach peers on practical data science, evaluation design, measurement strategy, and evidence-based decision making in fast-moving AI delivery environments.

**Qualifications & Experience**

- Bachelor's or higher degree in Data Science, Statistics, Computer Science, Engineering, Bioinformatics, Computational Biology, Applied Mathematics, or a related scientific field.

- 5+ years of experience in data science, machine learning, applied AI, analytics, computational science, or related technology roles with increasing responsibility.

- Proficiency in Python, SQL, R and/or common data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, statsmodels, or similar tools and packages.

- Experience applying machine learning, statistics, NLP, information retrieval, experimentation, or decision science to real-world products or scientific/business workflows.

- Experience with LLM applications, RAG, agentic AI, prompt/evaluation design, structured outputs, context-quality evaluation, knowledge curation, and model quality assessment.

- Familiarity with AWS data and AI services such as S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock, or equivalent cloud tools.

- Experience with evaluation rubrics, hallucination risk measurement, causal inference, simulation, optimization, recommendation methods, and reusable evaluation harnesses.

- Familiarity with vector databases, knowledge graphs, embeddings, metadata strategy, and data quality practices.

- Familiarity with lightweight web prototyping tools such as Streamlit for sharing analyses and exploratory AI demos.

- Experience communicating quantitative findings, assumptions, limitations, and recommendations to technical and non-technical audiences.

- Effective use of coding agents or AI-assisted development tools such as Claude Code, Codex, Gemini CLI, GitHub Copilot, or similar tools.

- Excitement for experimenting with the latest AI tools and technologies while applying scientific rigor to help discover, develop, and deliver innovative medicines.

- Curious and inquisitive mindset, with comfort working in agile pods, learning new domains quickly, and adapting analysis plans as evidence emerges.

#AICP

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

**Compensation Overview**

Cambridge Crossing $151,280 - $183,319

Madison - Giralda - NJ - US $137,530 - $166,654

Princeton - NJ - US $137,530 - $166,654

Seattle - WA $151,280 - $183,319

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https //careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include

- Health Coverage Medical, pharmacy, dental, and vision care.

-  Wellbeing Support Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

-  Financial Well-being and Protection 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

**Work-life benefits include**

Paid Time Off

-  US Exempt Employees flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

-  Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

- Eligibility Disclosure T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

**Uniquely Interesting Work, Life-changing Careers**

With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

**On-site Protocol**

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

**Supporting People With Disabilities**

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

**Candidate Rights**

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/

**Data Protection**

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https //careers.bms.com/fraud-protection .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1602674 Senior Data Scientist

Senior Data Scientist

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