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 health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better? Job Description Job Title: Senior Data Scientist Location: Chicago, IL Compensation: $114,180 - $182,689 per year Responsibilities: Build models by executing predefined experiments and templated code within the standard model development paradigm (25%). Data extraction and preparation for use in solution building (20%). Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems (25%). Provide technical and infrastructural advice on model builds, solution design, and requirements (15%). Help train the rest of the team in product lifecycle management, solution design, technical tool usage, and machine learning specifics (15%). ***Remote work requests will be considered consistent with petitioner's remote work policy. Requirements: Master’s degree in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 5 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. In alternative, we will accept a Doctorate (Ph.D.) in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 3 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. Additionally, we require: experience running projects from inception to deployment; familiar with the product development lifecycle; proficiency in SQL, Python, and a deep learning library like PyTorch; experience with machine learning algorithms and frameworks like scikit-learn (sklearn) or SparkML for building and evaluating models; professional experience using cloud platforms like Azure for scalable data processing and model deployment; experience with software engineering principles around testing, code reviews, and deployment; experience utilizing problem-solving skills to analyze complex problems, break them down into manageable tasks, and develop effective solutions; experience working effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutions; experience leading and influencing cross-functional teams; experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutions; experience with feature engineering and selection methods to improve model performance; experience mentoring on topics like programming, deployment, maintenance, project lifecycle, and working with stakeholders. We will accept any suitable combination of education, training, and experience. Requisition # LMT90751K Qualifications Additional Information All your information will be kept confidential according to EEO guidelines. Northwestern Medicine is an equal opportunity employer (disability, VETS) 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. Background Check Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act. Artificial Intelligence Disclosure Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person. Benefits We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more. Sign-on Bonus Eligibility (if sign-on bonus offered for position): Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family. - Job Shift: Day Job (1st) - Salary Range Minimum : $54.90 - Salary Range Maximum: $87.84 - Compensation: USD 54.9 - USD 87.84 - hourly

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 health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better? Job Description Job Title: Senior Data Scientist Location: Chicago, IL Compensation: $114,180 - $182,689 per year Responsibilities: Build models by executing predefined experiments and templated code within the standard model development paradigm (25%). Data extraction and preparation for use in solution building (20%). Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems (25%). Provide technical and infrastructural advice on model builds, solution design, and requirements (15%). Help train the rest of the team in product lifecycle management, solution design, technical tool usage, and machine learning specifics (15%). ***Remote work requests will be considered consistent with petitioner's remote work policy. Requirements: Master’s degree in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 5 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. In alternative, we will accept a Doctorate (Ph.D.) in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 3 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. Additionally, we require: experience running projects from inception to deployment; familiar with the product development lifecycle; proficiency in SQL, Python, and a deep learning library like PyTorch; experience with machine learning algorithms and frameworks like scikit-learn (sklearn) or SparkML for building and evaluating models; professional experience using cloud platforms like Azure for scalable data processing and model deployment; experience with software engineering principles around testing, code reviews, and deployment; experience utilizing problem-solving skills to analyze complex problems, break them down into manageable tasks, and develop effective solutions; experience working effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutions; experience leading and influencing cross-functional teams; experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutions; experience with feature engineering and selection methods to improve model performance; experience mentoring on topics like programming, deployment, maintenance, project lifecycle, and working with stakeholders. We will accept any suitable combination of education, training, and experience. Requisition # LMT90751K Qualifications Additional Information All your information will be kept confidential according to EEO guidelines. Northwestern Medicine is an equal opportunity employer (disability, VETS) 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. Background Check Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act. Artificial Intelligence Disclosure Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person. Benefits We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more. Sign-on Bonus Eligibility (if sign-on bonus offered for position): Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family. - Job Shift: Day Job (1st) - Salary Range Minimum : $54.90 - Salary Range Maximum: $87.84 - Compensation: USD 54.9 - USD 87.84 - hourly

• Lead and manage the execution of EDB’s strategic Data, Automation, and AI roadmap from concept through production deployment. • Translate high-level AI strategy into actionable, measurable programs with clear technical milestones and KPIs. • Partner with Engineering and IT to ensure the scalable, secure, and compliant delivery of AI initiatives across EDB. • Drive productionization of AI workflows, shifting from business-led proofs of concept to centrally supported, operationalized systems. • Define and evolve the operating model for AI deployment, integrating data engineering, MLOps, and governance frameworks. • Act as an AI enablement leader by embedding AI capabilities into core workflows across business functions. • Partner with HR and Communications to scale digital fluency and AI literacy initiatives company-wide. • Build repeatable enablement frameworks for internal and customer-facing AI applications within the Customer Zero model. • Lead continuous feedback loops between internal users, product, and data teams to inform future enhancements. • Collaborate with Product, Engineering, Legal, and Security teams to implement AI governance and data management standards. • Partner with Trust, Risk, and Compliance to ensure all AI workloads adhere to security and regulatory policies. • Drive alignment with the Central AI Committee and Communities of Practice on tooling, data access, and AI deployment patterns. • Support EDB’s Postgres AI and Sovereign AI roadmaps, ensuring integration across analytical, transactional, and ML systems. • Define, track, and report on KPIs tied to AI-driven business value such as automation efficiency, customer engagement, and retention uplift. • Partner with BI teams to operationalize these metrics within tools like Tableau or other observability platforms. • Build and maintain visibility into AI workloads, resource utilization, and infrastructure cost forecasting. • Lead the measurement and reporting of impact across all AI initiatives, from internal productivity gains to customer outcomes.

• Primary representative for eClinical Solutions and sponsor data management interaction • Responsible for monitoring and ensuring adherence to study timelines and deliverables • Accountable for the overall quality of data management activities and deliverables at the study or program level • Ensure efficiency and consistency for data management tasks across programs • Communicate with global study teams • Participate in client study kickoff and closeout/lessons learned meetings • Create materials for and present at Investigator Meetings • Develop content and deliver Sponsor CRA and/or site training • Delegate tasks, support and provide guidance to study data management team • Oversee and/or develop data management documents including DMPs, eCRF Completion Guidelines, CRFs, and Help Text • Oversee and/or Develop Internal System Testing (IST) plan for database/user roles/edit check specifications • Participate in Internal System Testing (IST) on the database/user roles/edit check specifications • Assist with preparation for implementation of a centralized data management platform for strategic data cleaning and reporting • Utilization of centralized data management platform including graphical patient profiles and operational analytics • Compile the sponsor UAT package • Oversee and/or perform data review as documented in the Data Management Plan and Data Validation Specifications • Oversee and/or perform manual review/QC checks as listed in the Data Validation Specifications exception listings and reporting tools • Oversee and/or perform data review for overall consistency and accuracy • Oversee and/or perform vendor data reconciliation (e.g., IVRS, laboratory data) with the clinical database • Oversee and/or perform query processing/resolution • Provide ongoing data management reports and metrics • Oversee and/or develop specifications and collaborate with programming for programming and QC of manual listings, external data reconciliation, metrics and custom reports as needed throughout the study • Define and develop specifications for database, programming and/or edit check changes as needed throughout the study • Track data management issues and ensure follow up to resolution • Identify data issues and/or data trends, communicate to the Clinical Data Management team and Sponsor, assist with development and implementation of action plan • Maintain data management study documentation • Perform steps pertaining to database freeze/lock and coordinate all related activities • Ongoing evaluation of process and participate in process improvement • Assist in the creation and review of SOPs, WIs, and training materials • Mentor junior level staff and peers on all associated tasks within a study • Participate in proposal defenses • Perform other duties as requested by management