North Chicago, IL

Salary
Posted
Jul 5, 2026
Location
North Chicago, IL
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A physician leadership role within a pharmaceutical R&D team focused on integrating AI, advanced analytics, and converged data architectures into clinical and translational medicine workflows. The position involves identifying gaps in existing drug development processes, overseeing the design of enterprise-scale analytical solutions, and validating AI-driven outputs for areas such as patient selection, trial optimization, and safety surveillance. Suited to an MD or equivalent with substantial industry experience in both clinical development and data-enabled workflow transformation.

Senior level · 8+ years · National · Doctorate required · Full-time

Must have (10)
machine learningdeep learninggenerative AITensorFlow, PyTorch, scikit-learn or Hugging FacePythonRMLOpsAirflow, Kubeflow or MLflowAWS or AzureCI/CD
Nice to have (3)
CDISC or Omopcloud computingbig data

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What won't set you apart
Python88%machine learning80%TensorFlow58%CI/CD45%R42%deep learning40%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $122,874 (middle half $87,544–$162,374).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (5)

This role is a genuine hybrid: it requires an M.D./D.O. as a hard gate and is framed as a physician leadership position, yet the Technical Expertise section demands expert-level ML/AI, Python/R programming, MLOps, and cloud architecture — capabilities more typical of a senior data scientist or ML engineer. The SOC was set to Data Scientists (15-2051) because the technical requirements dominate the qualifications section; Computer and Information Systems Managers (11-3021) is the close runner-up given the enterprise leadership and cross-functional scope.

The M.D., D.O., or non-US equivalent is listed as a hard degree requirement. 'Doctorate' is used as the closest available degree tier, though the posting specifically requires a medical degree rather than a research doctorate.

The Technical Expertise section (TensorFlow/PyTorch/Scikit-learn/Hugging Face, Python, R, MLOps, Airflow/Kubeflow/MLflow, AWS/Azure, CI/CD) is presented as a required qualifications block and is treated as hard-gated accordingly.

CDISC, OMOP, predictive modeling, cloud computing, and big data appear under 'Preferred' or 'Knowledge of' framing in the preferred qualifications section and are marked as preferred.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.

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