Senior Data Scientist - Healthcare AI Leader (Flexible Work)

Northwestern Medicine Corporate; Chicago (IL); On-site; USD 103,000 - 139,000; Full time

Benefits offered by this job

Tuition Reimbursement

Student Loan Repayment

Professional Development

Wellness Fund

401(k) Matching

Health, Dental, Vision Insurance

Life Insurance

Annual Bonus & Increases

Paid Time Off

Job summary

Northwestern Medicine Corporate in Chicago, IL invites applications for a Senior Data Scientist to lead a data science team and drive ML solutions across clinical and operational challenges.

The role emphasizes product-minded design, collaboration with stakeholders, and deployment of advanced technologies using diverse medical data modalities (audio, imaging, notes) to improve patient care and outcomes.

Qualifications

• Master’s degree (or equivalent) in a related field; ML experience required.
• 5+ years in machine learning model building, analysis, deployment.
• Experience with Azure for scalable processing and deployment.
• Proficient in SQL and Python; DL with PyTorch.
• Strong problem-solving and ambiguity navigation; stakeholder management.
• Mentor teammates on deployment, lifecycle, and engagement; product mindset.

Responsibilities

• Lead the Data Science team and design/validate ML solutions with a product mindset.
• Research and prototype advanced tech for clinical training and care improvements.
• Develop cross-modality medical data solutions (audio, ECG, imaging, notes) to drive impact.

Skills

Python

SQL

Machine learning

Problem solving

Stakeholder management

Mentoring

Product mindset

Systems thinking

Education

Master's degree in CS/Engineering/Math/Physics

PhD in CS/Engineering/Math/Physics (preferred)

Tools

Azure

PyTorch

Job description

Northwestern Medicine Corporate in Chicago, IL invites applications for a Senior Data Scientist to lead a data science team and drive ML solutions across clinical and operational challenges.

The role emphasizes product-minded design, collaboration with stakeholders, and deployment of advanced technologies using diverse medical data modalities (audio, imaging, notes) to improve patient care and outcomes.