Biotech Research Scientist to Data Scientist

Summary: None of the 6 core skills listed for Data Scientist match Biotech Research Scientist word for word, but 3 build on related experience. The US median salary changes by +40% ($100K → $140K). Difficulty: Challenging, typically around 9 months of focused upskilling.

The two roles

Biotech Research Scientist: Conduct research to develop new drugs, therapies, and medical technologies.

Data Scientist: Extract insights from data using statistical analysis and machine learning. Growth outlook +35%; AI-resistant. Typical education: master. Typical experience: 2-4 years typical entry.

Skills that carry over

None of the listed skills match word for word, but the related experience below transfers.

Builds on related experience

• Statistics — builds on Data Analysis
• SQL — builds on Data Analysis
• Data Visualization — builds on Data Analysis

Skills to learn for Data Scientist

• Python
• Machine Learning
• Communication

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

Get a personalized analysis of your own skills against Data Scientist — free, no signup needed.

Related

Biotech Research Scientist career guide | Data Scientist career guide

Other transitions to consider

• Biotech Research Scientist to Research Scientist — 5 of the core skills carry over
• Biotech Research Scientist to Medical Laboratory Technician — 2 of the core skills carry over
• Biotech Research Scientist to Clinical Research Coordinator — 2 of the core skills carry over
• Biotech Research Scientist to Medical Writer — 3 of the core skills carry over
• Data Analyst to Data Scientist — 5 of the core skills carry over
• Data Engineer to Data Scientist — 4 of the core skills carry over
• ML/AI Engineer to Data Scientist — 2 of the core skills carry over
• Business Analyst to Data Scientist — 4 of the core skills carry over