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Senior Data Scientist II, Real World Evidence (RWE), Pharma R&D

United States, Boston - Massachusetts

SpringCube

Full-time - Principal Engineer

Life Sciences & Pharmaceuticals

Posted 4 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare technology organization specializes in precision medicine and real-world evidence solutions. Their proprietary platform connects a full ecosystem of clinical and molecular data to generate actionable insights, enabling physicians and pharmaceutical partners to deliver the right treatments to the right patients at the right time. The company focuses on leveraging AI, advanced analytics, and epidemiological methods to advance research and patient outcomes.

About the Role
The Real World Evidence (RWE) team within the Pharma R&D group partners with pharmaceutical companies to provide robust data analysis, methodological guidance, and real-world insights. The Senior Data Scientist II will lead observational studies, interpret complex clinical data, apply advanced statistical methods, and implement AI tools to augment research insights, particularly in oncology and epidemiology.

Key Responsibilities

  • Partner with pharmaceutical collaborators to independently execute RWE research plans leveraging the company’s multimodal platform
  • Lead derivation of complex real-world endpoints, demonstrating expertise in clinical and molecular data and methodological nuances
  • Contribute to methodological best practices, reusable code, and internal packages across collaborations
  • Integrate LLMs, agentic workflows, and AI tools to accelerate coding, analysis, and insight generation
  • Interpret and communicate RWE analysis results clearly to both technical and non-technical stakeholders
  • Prepare internal reports, external deliverables, manuscripts, and conference materials as appropriate
  • Collaborate cross-functionally with product, oncology, clinical abstraction, and data science teams to enhance data quality and analytics capabilities

Minimum Qualifications

  • PhD in Epidemiology, Biostatistics, Data Science, Public Health, or related field OR Master’s degree with 2+ years of additional work experience
  • Proficiency with observational healthcare data, including survival analysis and RWD studies
  • Strong experience executing RWE analytical studies
  • Proficiency in R and SQL, including statistical packages and tools
  • Experience applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor), and agentic frameworks for scientific workflows
  • Adherence to software engineering best practices (version control, modular code, documentation)
  • Excellent communication and client-facing skills; able to present complex analyses to diverse stakeholders
  • Strong project management and collaboration abilities; able to work in a fast-paced, multi-disciplinary environment

Preferred Skillsets

  • Experience in Pharma or drug development, clinical trial design (Phase II-III)
  • Analytical experience with claims, EHR, or registry data
  • Practical experience configuring or adapting LLMs for scientific workflows
  • Knowledge of oncology guidelines (e.g., NCCN)
  • Experience with biomarker or molecular data (e.g., genomics)
  • Experience with cloud platforms such as AWS, BigQuery, or Google Cloud Platform (GCP)

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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