Northwestern Memorial Healthcare
Data Scientist
Northwestern Memorial Healthcare, Chicago, Illinois, United States, 60290
Company Description
At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?
Job Description
The
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 all other regulatory and accreditation standards.
Northwestern Medicine, Information Services is a trusted partner driving high-value solutions, transforming healthcare.
We are a culture motivated to deliver innovative solutions and committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients, customers, and guests. In order to support our patients first mission, our team goes to extraordinary lengths to ensure that our system work together seamlessly.
Northwestern Medicine understands that technology is an integral role in moving healthcare forward, Information Services strategically supports these goals by:Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurther develop end user support model to help enhance modern infrastructureResponsibilities:
As a member of the Data Science team, you will work with stakeholders to design, build, and evaluate solutions that solve business and clinical problems within the organization. You will 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. Bringing a product mindset and technical acumen, you will design solutions that deliver value and can be maintained. We do not just build models; we collaborate with experts to understand and solve problems.Qualifications
Required:
Bachelor's degree or equivalent experience in CS, Engineering, Math, Physics, or a related fieldAt 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 timeStrong 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 modelsFamiliarity with software engineering principles around testing, code reviews and deploymentStrong understanding of SQL for data manipulation and extraction from databasesStrong problem-solving skills with the ability to analyze complex problems, break them down into manageable tasks, and develop effective solutionsAbility to work effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutionsStakeholder management skills with experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutionsContinuous 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 developmentKnowledge of feature engineering and selection methods to improve model performanceProficiency 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 projectsPreferred:
Master's degree or equivalent experience in CS, Engineering, Math, Physics, or a related fieldExperience running projects from inception to deployment. Familiar with the lifecycle of product developmentExperience with deep learning frameworks, such as PyTorch, for building and training neural networksKnowledge of Natural Language Processing techniques and libraries, such as NLTK or spaCy, for text analysis and processingFamiliarity with Computer Vision concepts and frameworks, like OpenCV, for image analysis and object detectionExperience using cloud platforms like Azure for scalable data processing and model deploymentDomain knowledge in healthcare. Understanding of healthcare terminology, workflows, and challenges, enabling effective collaboration with clinicians and healthcare professionalsSystems level thinking. Ability to think about how a solution will be used and identify other components that need to be built or integratedProduct 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
Additional Information
Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.
If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.
At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?
Job Description
The
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 all other regulatory and accreditation standards.
Northwestern Medicine, Information Services is a trusted partner driving high-value solutions, transforming healthcare.
We are a culture motivated to deliver innovative solutions and committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients, customers, and guests. In order to support our patients first mission, our team goes to extraordinary lengths to ensure that our system work together seamlessly.
Northwestern Medicine understands that technology is an integral role in moving healthcare forward, Information Services strategically supports these goals by:Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurther develop end user support model to help enhance modern infrastructureResponsibilities:
As a member of the Data Science team, you will work with stakeholders to design, build, and evaluate solutions that solve business and clinical problems within the organization. You will 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. Bringing a product mindset and technical acumen, you will design solutions that deliver value and can be maintained. We do not just build models; we collaborate with experts to understand and solve problems.Qualifications
Required:
Bachelor's degree or equivalent experience in CS, Engineering, Math, Physics, or a related fieldAt 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 timeStrong 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 modelsFamiliarity with software engineering principles around testing, code reviews and deploymentStrong understanding of SQL for data manipulation and extraction from databasesStrong problem-solving skills with the ability to analyze complex problems, break them down into manageable tasks, and develop effective solutionsAbility to work effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutionsStakeholder management skills with experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutionsContinuous 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 developmentKnowledge of feature engineering and selection methods to improve model performanceProficiency 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 projectsPreferred:
Master's degree or equivalent experience in CS, Engineering, Math, Physics, or a related fieldExperience running projects from inception to deployment. Familiar with the lifecycle of product developmentExperience with deep learning frameworks, such as PyTorch, for building and training neural networksKnowledge of Natural Language Processing techniques and libraries, such as NLTK or spaCy, for text analysis and processingFamiliarity with Computer Vision concepts and frameworks, like OpenCV, for image analysis and object detectionExperience using cloud platforms like Azure for scalable data processing and model deploymentDomain knowledge in healthcare. Understanding of healthcare terminology, workflows, and challenges, enabling effective collaboration with clinicians and healthcare professionalsSystems level thinking. Ability to think about how a solution will be used and identify other components that need to be built or integratedProduct 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
Additional Information
Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.
If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.