What are the responsibilities and job description for the Sr Real World Data Scientist position at GForce Life Sciences?
Job Description: Real World Data Scientist
12 Month W2 Contract - (C2C not available)
Pay: $70 - $75/hour ($140k - $150k/year) based on experience
Location: Onsite in Gaithersburg, MD
Role Overview:
We are seeking a highly skilled candidate to leverage real-world data (RWD) from healthcare settings to generate insights in Public Health, Pharmaceutical Research & Development, and Commercial sectors. This role will involve collaborating with teams in Epidemiology, Statistics, and Payer, providing guidance on study design and best practices in RWD use. You will also help shape the Real World Science data strategy, evaluating new data providers and supporting acquisitions across various therapeutic areas.
Key Responsibilities:
- Collaborate with teams to maximize the value of observational research data (e.g., EMR, claims, primary data).
- Support RWD strategies and market prioritization through analysis.
- Provide scientific guidance on applying Real World Evidence (RWE) in Oncology and Biopharmaceuticals.
- Contribute to strategic decisions on study design, data partner selection, and RWE best practices.
- Help develop analytical tools and visual analytics for end customers.
- Assist in building and advancing RWE capabilities and partnerships.
- Evaluate and assess external data sources for strategic data integration.
Required Qualifications and Skills:
- PhD or MS in Data Science or Life Sciences with experience in Medical/Health Informatics or related fields.
- Strong background in real-world evidence, health economics, epidemiology, and statistical analysis.
- Experience with EMR/Health IT, disease registries, and insurance claims data.
- Expertise in statistical tools (e.g., R, Python, SAS, SQL) and advanced visualization techniques.
- Proven ability to manage large, cross-functional data science projects.
Preferred Experience:
- Expertise in healthcare data standards (e.g., ICD9/10, ReadCode).
- Experience in pharmacoepidemiology and patient care settings.
- Familiarity with Machine Learning and AI in RWD hypothesis generation.
Salary : $140,000 - $150,000
