AI Skills for Clinical & Translational Data Science Jobs
Clinical and translational roles apply models and statistics to biomarkers, trials, and real-world patient data.
From 69 live Clinical & Translational roles, within our analysis of 462 AI/ML postings · updated August 25, 2026
What Clinical & Translational roles actually do
You apply models and statistics to biomarkers, trials, and real-world patient data: finding signals, building predictive and prognostic models, and holding them to a high bar of validation.
Most-requested skills for Clinical & Translational roles
Share of the 69 live Clinical & Translational AI/ML postings mentioning each skill.
The core stack, explained
The tools that show up most in Clinical & Translational postings, and why they matter.
Who's hiring
Companies with the most open Clinical & Translational AI/ML roles right now.
Typical pay
Median-to-median disclosed salary band across these roles, where pay is posted.
What makes Clinical & Translational different
Rigor is the differentiator: heavier statistics, careful handling of real-world and EHR data, and an emphasis on interpretability and validation. ML is applied here, but the bar for methodological soundness is higher because the outputs touch patients.
How to break into Clinical & Translational
Emphasize methodological soundness: a project that handles real-world or clinical-style data carefully, with proper validation and honest uncertainty, signals the rigor these teams require.
Frequently asked
What skills do clinical & translational jobs require?
Across 69 live Clinical & Translational AI/ML roles, the most-requested skills are Python, LLMs, Generative AI, Statistics, AWS, Deep learning. Percentages for each are in the breakdown above.
How is Clinical & Translational different from general AI/ML in biotech?
Rigor is the differentiator: heavier statistics, careful handling of real-world and EHR data, and an emphasis on interpretability and validation. ML is applied here, but the bar for methodological soundness is higher because the outputs touch patients.
Do I need a biostatistics background for clinical data science?
It helps a lot. These roles weight statistics and study design heavily, and many sit close to biostatistics teams. Strong ML plus statistical rigor is the winning combination.
Find Clinical & Translational roles
Browse live clinical & translational and related AI/ML roles at top biotech and pharma companies.
Browse all jobsPart of the AI/ML Skills in Biotech guide. Explore other sub-fields: Protein design · Drug discovery · Genomics · Clinical