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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.

1
Python
62.3%
2
LLMs
43.5%
3
Generative AI
37.7%
4
Statistics
36.2%
5
AWS
33.3%
6
Deep learning
31.9%
7
Bioinformatics
30.4%
8
PyTorch
29%
9
R
26.1%
10
TensorFlow
24.6%
11
Git
23.2%
12
NLP
21.7%
13
Foundation models
21.7%
14
Azure
21.7%
15
SQL
17.4%

The core stack, explained

The tools that show up most in Clinical & Translational postings, and why they matter.

Statistics
rigor and inference matter more here than raw model power
Real-world & EHR data
messy, regulated, high-stakes data sources
Python & R
R for biostatistics, Python for ML
Interpretability & validation
outputs touch patients, so trust is essential

Who's hiring

Companies with the most open Clinical & Translational AI/ML roles right now.

Gilead 8 roles
Bristol Myers Squibb 8 roles
AstraZeneca 8 roles
AbbVie 5 roles
Genentech 5 roles
Novartis 4 roles

Typical pay

Median-to-median disclosed salary band across these roles, where pay is posted.

$146K-$219K
across 69 Clinical & Translational roles

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.

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Part of the AI/ML Skills in Biotech guide. Explore other sub-fields: Protein design · Drug discovery · Genomics · Clinical

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