Senior Data Scientist, Life Sciences Technology Solutions
About The Position
The Senior Data Scientist, Life Sciences Technology Solutions, is responsible for designing, developing, and operationalizing data products, machine learning models, and AI-enabled capabilities within scalable technology platforms for biopharma clients. This role sits at the intersection of advanced analytics, AI/ML, and software-enabled delivery, embedding data-driven intelligence directly into applications, workflows, and decision systems. The Senior Data Scientist works within cross-functional teams including product managers, engineers, and consultants to translate complex healthcare data into production-ready solutions. Success in this role is defined by the ability to build robust, reusable models and data assets that power real-time insights, support decision-making, and scale across clients and use cases.
Requirements
- Master’s degree or PhD in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
- 8+ years of experience developing and deploying AI/machine learning solutions in production environments.
- Strong experience working with large-scale healthcare or life sciences datasets (e.g., claims, EMR, or similar).
- Proficiency in Python and/or R, with strong SQL skills and experience building data pipelines.
- Experience deploying models within cloud environments (Azure, AWS, or GCP).
- Familiarity with API-based model deployment and scalable system integration.
- Strong problem-solving and communication skills, with the ability to operate in cross-functional teams.
Nice To Haves
- Experience with GenAI, LLMs, RAG pipelines, or agent-based systems.
- Familiarity with healthcare data models, payer/provider structures, and life sciences use cases.
- Experience building reusable data products or analytics-enabled applications.
- Exposure to MLOps practices, model monitoring, and lifecycle management.
- Consulting or client-facing experience in life sciences or healthcare technology.
Responsibilities
- Design and develop data products and machine learning models embedded within client-facing platforms and applications.
- Operationalize analytics by integrating models, algorithms, and data pipelines into production systems and workflow-driven applications.
- Work with large-scale healthcare datasets (e.g., claims, EMR, and external data sources) to enable scalable insight delivery within platforms.
- Build and validate predictive, descriptive, and segmentation models that support decision systems across commercial, market access, and medical use cases.
- Contribute to development of AI/ML-enabled applications, including GenAI, RAG pipelines, and agent-based workflows, ensuring outputs are scalable, traceable, and production-ready.
- Collaborate with engineers and architects to deploy models via APIs, microservices, and cloud-based environments.
- Develop modular, reusable code, data pipelines, and feature libraries that can be leveraged across multiple solutions.
- Translate complex analytical logic into clear, user-facing outputs within applications, dashboards, and automated workflows.
- Ensure data quality, model performance, and governance standards across deployed solutions.
- Contribute to innovation and development of next-generation data products and analytics capabilities across the technology portfolio.
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave
- 401(k) Retirement Plan
- Group Term Life and Travel Assistance
- Voluntary Life and AD&D Insurance
- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
