RWE Data Scientist V&E Real World Evidence Analytics

Overview

Contract - W2

Skills

Real World Evidence Analytics

Job Details

Title: RWE Data Scientist (Contractor) V&E Real World Evidence Analytics
Duration: 24 months
Location: Open for Remote but hybrid is preferred

Zone 0 - All physical and virtual locations in IL, MI, OH, and other states, excluding physical and virtual locations in TX, MA, NJ, NY and CA
Zone 1-- All physical and virtual locations in Texas (TX)
Zone 2-- All physical and virtual locations in MA, NJ, NY, CA (excluding: physical locations in Campbell, South San Francisco, Dublin, Livermore and Pleasanton)
Zone 3-- Only CA physical locations of Campbell, South San Francisco, Dublin, Livermore and Pleasanton

About the Role:
We are seeking a highly skilled RWE Data Scientist to join our Value & Evidence (V&E) Real World Evidence Analytics team. In this role, you will leverage large-scale real-world data (RWD) to uncover insights into care gaps, measure healthcare impact, and support strategic decision-making in key therapeutic areas. You will apply advanced statistical methods, machine learning, and programming expertise to analyze diverse datasets (claims, EMR, clinical, surveys) and generate actionable evidence.
This position offers an exciting opportunity to influence healthcare strategies by transforming complex data into clear, impactful insights. You will collaborate with cross-functional teams, including Medical Affairs, HEOR, and Business Units, to drive data-driven decision-making.

Key Responsibilities:
PHD in the related field is a must (Masters for Rockstar candidate is fine).
Serve as the analytics lead for assigned therapeutic areas, resolving technical challenges and optimizing analytical processes.
Design and execute large-scale data analyses, predictive modeling, and algorithm development using RWD.
Translate business questions into analytical frameworks, developing data dictionaries and study designs.
Present findings to stakeholders in a clear, compelling manner through visualizations and reports.
Ensure timely delivery of high-quality analyses in a fast-paced, matrixed environment.
Collaborate with internal and external partners to identify data resources and methodological best practices.
Standardize coding practices (SAS, SQL, R, Python) and improve efficiency in analytical workflows.

Qualifications:
Master's degree in Statistics, Epidemiology, Health Economics, Data Science, or related field (PhD preferred).
1-2+ years of hands-on experience in RWD analytics (claims, EMR, clinical trials, or healthcare databases).
Technical proficiency: Strong programming skills in SAS, SQL, R, and/or Python (experience with machine learning is a plus).
Ability to independently troubleshoot, optimize code, and deploy scalable analytical solutions.
Experience with UNIX/Hadoop environments and large dataset manipulation is advantageous.
Strong communication skills able to simplify complex data insights for non-technical audiences.
Healthcare domain knowledge (e.g., biopharma, epidemiology, HEOR) is preferred.

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