SPECTRAFORCE
RWD Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Real-World Data (RWD) Scientist, 100% remote, for a 6-month contract. Key skills include SAS, SQL, Python/R, and big data platforms like AWS and Hadoop. Experience in epidemiology or HEOR is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
October 8, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#SAS #Big Data #AWS (Amazon Web Services) #SQL (Structured Query Language) #R #Programming #Hadoop #Python
Role description
Job Title: Real-World Data (RWD) Scientist
100% Remote
Duration: 6 months
A highly skilled Real-World Data (RWD) Scientist who can lead the design and execution of analytical research using complex healthcare data (like claims data, EMRs, surveys). The ideal candidate should:
• Have strong technical skills in data programming (SAS, SQL, Python/R) and experience with big data platforms (AWS, Hadoop).
• Be able to develop innovative data solutions that drive scientific or business value in the pharmaceutical/healthcare industry.
• Bring expertise in epidemiology, HEOR, or a related field.
• Be proactive, independent, and capable of solving complex problems.
• Communicate findings effectively and collaborate cross-functionally.
Job Title: Real-World Data (RWD) Scientist
100% Remote
Duration: 6 months
A highly skilled Real-World Data (RWD) Scientist who can lead the design and execution of analytical research using complex healthcare data (like claims data, EMRs, surveys). The ideal candidate should:
• Have strong technical skills in data programming (SAS, SQL, Python/R) and experience with big data platforms (AWS, Hadoop).
• Be able to develop innovative data solutions that drive scientific or business value in the pharmaceutical/healthcare industry.
• Bring expertise in epidemiology, HEOR, or a related field.
• Be proactive, independent, and capable of solving complex problems.
• Communicate findings effectively and collaborate cross-functionally.
