Pharmaceutical and Drug Discovery AI Jobs
Pharmaceutical AI is transforming drug discovery and development. These roles apply machine learning to molecular design, protein structure prediction, clinical trial optimization, and genomics analysis at biotech companies and pharmaceutical giants.
Last updated: June 27, 2026
Latest Pharmaceutical AI Jobs
View all jobsFrequently Asked Questions
What AI skills are needed in pharma?
Pharma AI roles typically require expertise in molecular modeling, graph neural networks, protein structure prediction, and computational chemistry, along with standard ML skills in Python and PyTorch. A background in biology or chemistry is often preferred. SQL proficiency is important for working with clinical trial data, as it appears in about 50% of data-related job postings. Cloud platforms (AWS, GCP) are increasingly required for large-scale molecular simulations and model training.
Which companies are hiring for pharmaceutical AI?
Leading employers include Recursion, Insitro, Isomorphic Labs (Google), Insilico Medicine, BenevolentAI, and major pharma companies like Pfizer, Novartis, and Roche that are building internal AI teams. AI job openings have grown 25.2% year-over-year across all sectors, and pharma AI is one of the fastest-growing verticals. With a PhD not strictly required for many applied roles, the field offers accessible entry points for ML engineers willing to learn domain-specific biology.
What is the salary for pharma AI roles?
Pharma AI salaries are competitive with broader AI market rates. Data scientists in pharma average around $117K, while ML engineers earn $125K-$160K. Senior AI researchers at biotech companies can command $195K-$350K+ in total compensation. US-based roles average $147K-$176K, while European pharma AI positions range from $72K-$160K, with Switzerland offering the highest European salaries at approximately $145K.
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