Job Title : Observational Health Data Analyst
Location : Remote / Hybrid (no preference to remote or in person)
Department : Global Epidemiology
Contract : 1 year Contract with possibility of extension
About the Role
The Clients Global Epidemiology group is collaborating with a leading external data network on a major initiative focused on Lupus . We are seeking an experienced Observational Health Data Analyst to lead the analysis of diverse observational healthcare datasets. This is a high-impact role that requires a sharp analytical mind, deep understanding of real-world health data, and the technical skills to deliver high-quality insights that drive scientific and strategic decision-making.
The ideal candidate is a self-starter , team player , and problem solver with a passion for working with complex, real-world data to answer meaningful health questions.
Key Responsibilities
Day-to-Day Activities
Required Qualifications
Preferred Qualifications
Benefits & Perks
Medasource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employees needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Equal Employment Opportunity
Medasource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
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Data Analyst • Spring House, PA, United States