Data Scientist

Summary

Join Northwestern Medicine's Information Services team as a Data Scientist and contribute to innovative healthcare solutions. You will collaborate with stakeholders to design, build, and evaluate data-driven solutions using machine learning and statistical tools. This role requires strong coding skills, experience in model building and deployment, and a deep understanding of data manipulation techniques. You will work effectively in interdisciplinary teams and manage projects from inception to completion. Northwestern Medicine offers competitive benefits, including 401(k) matching and lifecycle benefits.

Requirements

• Bachelor's degree or equivalent experience in CS, Engineering, Math, Physics, or a related field
• At least 3 years of experience with machine learning with a focus on model building, analysis of outcomes, and model deployment into usage
• Experience defining tasks, managing projects, and delivering on time
• Strong coding skills in general purpose programming languages like Python or R
• Experience with machine learning algorithms and frameworks like scikit-learn (sklearn) or SparkML for building and evaluating models
• Familiarity with software engineering principles around testing, code reviews and deployment
• Strong understanding of SQL for data manipulation and extraction from databases
• Strong problem-solving skills with the ability to analyze complex problems, break them down into manageable tasks, and develop effective solutions
• Ability to work effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutions
• Stakeholder management skills with experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutions
• Continuous learning mindset with a willingness to say up to date with the latest advancements in data science and healthcare, and actively seek opportunities for professional growth and development
• Knowledge of feature engineering and selection methods to improve model performance
• Proficiency in using GitHub/Azure DevOps for version control to manage code repositories, track changes, collaborate with team members, and maintain version control for data science projects

Responsibilities

• Work with stakeholders to design, build, and evaluate solutions that solve business and clinical problems within the organization
• Use data, statistics, and machine learning tools to construct solutions that meet the requirements of the problem and deliver those solutions to make a tangible impact
• Design solutions that deliver value and can be maintained
• Collaborate with experts to understand and solve problems

Preferred Qualifications

• Master's degree or equivalent experience in CS, Engineering, Math, Physics, or a related field
• Experience running projects from inception to deployment. Familiar with the lifecycle of product development
• Experience with deep learning frameworks, such as PyTorch, for building and training neural networks
• Knowledge of Natural Language Processing techniques and libraries, such as NLTK or spaCy, for text analysis and processing
• Familiarity with Computer Vision concepts and frameworks, like OpenCV, for image analysis and object detection
• Experience using cloud platforms like Azure for scalable data processing and model deployment
• Domain knowledge in healthcare. Understanding of healthcare terminology, workflows, and challenges, enabling effective collaboration with clinicians and healthcare professionals
• Systems level thinking. Ability to think about how a solution will be used and identify other components that need to be built or integrated
• Product mindset. Able to design for solving the current problem reliably, but also so the solution can be applied to other problems. Design systems so they can be maintained

Benefits

• 401(k) matching
• Lifecycle benefits
• Tuition reimbursement
• Loan forgiveness