Senior Data Scientist Chicago, IL

Senior Data Scientist

Full-time, Days job at Northwestern Medicine Corporate. Chicago, IL.

The salary range for this position is $49.52 - $66.85 (Hourly Rate). Placement within the salary range is dependent on several factors such as relevant work experience and internal equity. For positions represented by a labor union, placement within the salary range is guided by the rules outlined in the collective bargaining agreement.

• $10,000 Tuition Reimbursement per year ($5,700 part-time)
• $10,000 Student Loan Repayment ($5,000 part-time)
• $1,000 Professional Development per year ($500 part-time)
• $250 Wellness Fund per year ($125 for part-time)
• Matching 401(k)
• Excellent medical, dental and vision coverage
• Life insurance
• Annual Employee Salary Increase and Incentive Bonus
• Paid time off and Holiday pay

Northwestern Medicine is powered by a community of colleagues who are purpose-driven and committed to our mission to deliver world‑class care. You will work alongside some of the best clinical talent, leading the way in medical innovation and breakthrough research with Northwestern University Feinberg School of Medicine. We celebrate diverse perspectives and experiences, fueling our commitment to equity and a culture of service.

Grow your career with comprehensive training and development opportunities, mentorship programs, educational support, and student loan repayment. Create the life you envision with flexible work options, a reimbursable Well‑Being Fund, and a Total Rewards package that supports your physical, mental, emotional, and financial well‑being. Make a difference through volunteer opportunities offered in local communities and drive inclusive change through workforce‑led resource groups.

The Senior Data Scientist reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and regulatory standards.

Northwestern Medicine Information Services drives innovative, high‑value solutions to transform health care. We support the relentless pursuit of better medicine by providing exceptional service to patients, guests, and internal clients across the organization. Our team ensures that systems work together seamlessly to support technology’s critical role in shaping the future of health care.

Information Services strategically supports the organization through:

• Enabling digital solutions by leveraging AI, automation, and advanced cyber controls that support digital transformation strategies
• Implementing advanced technologies in clinical and administrative areas
• Further developing an end‑user support model to enhance modern infrastructure

• Lead the Data Science team, collaborating with stakeholders to design, build, and evaluate solutions to business and clinical problems. Use data, statistics, and machine learning tools to construct solutions that meet requirements and deliver tangible impact. Bring a product mindset to a technical field, design solutions that deliver value, can be maintained, and train the rest of the team to adopt this mindset.
• Conduct research, development, and prototyping of advanced technology solutions for the Canning Thoracic Institute, enhancing medical training, improving quality of care, and enabling timely interventions for pulmonary and thoracic patients.
• Develop advanced technologies that enable using medical data across multiple modalities (lung sounds, ECG waveforms, airway videos, CT imaging, clinical notes, etc.)

Required:

• Master’s degree or equivalent experience in CS, Engineering, Math, Physics, or a related field
• At least 5 years of experience in machine learning with a focus on model building, outcome analysis, and model deployment
• Professional experience with cloud platforms such as Azure for scalable data processing and model deployment
• Proficiency in SQL, Python, and a deep learning library like Py Torch
• Strong problem‑solving skills: analyze complex problems, break them into components, and devise effective solutions
• Comfort navigating ambiguity: deliver results with minimal guidance
• Strong stakeholder…