Senior Data Scientist

Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?

• Entity: Corporate
• Department: PennDNA Data Science
• Location: Remote based out of 3535 Market St. Philadelphia, PA
• Hours: 8hr Days

Summary:
The Senior Data Scientist will work closely with Machine Learning (ML) Engineers and be responsible for participating in the solving of complex problems from large sets of data, utilizing statistical analysis, machine learning, language models, and programming to develop solutions and drive innovation to address complex healthcare challenges. You will optimize research data tools and design scalable architecture to support our system clinical, operational and research efforts. The ideal candidate will have a strong background in data science and architecture, machine learning, statistical analysis and healthcare analytics, with experience in developing and deploying machine learning products to improve patient care and outcomes.
Responsibilities:

• Predictive Analysis and Modeling: Build and validate algorithms to address complex healthcare problems. Develop proof-of-concept models and then iteratively improve the model. Design and utilize experimentation to quantify opportunity and outcomes. Maintain, implement and advance best practices as relevant for the data science discipline.
• Utilize advanced statistical methods and machine learning algorithms to extract deep insights from complex clinical, operational, and research datasets. Lead and execute moderately complex projects with minimal oversight. Serve as an expert in one or more sub-domains.
• Data Collection and Assessment: Work closely with administrators, clinicians, and informatics teams to evaluate existing data sources and identify potential gaps. Propose strategies for improving data integrity and collecting new data that minimize disruption to clinical workflows and operational processes.
• Collaboration: Collaborate with a multidisciplinary team, including ML engineers, site reliability engineers, vendors, clinicians, administrators, researchers, and others, to understand project requirements and develop solutions that meet organizational needs. Exhibit exceptional domain and data context awareness, stakeholder engagement, and ability to frame problems. This collaboration aims not only to advance healthcare technology but also to drive significant improvements in patient outcomes and operational efficiencies, demonstrating the tangible impact of our work. Provide subject matter expert review, guidance and consultation. Receive, triage, and refine requests from internal clients.
• Monitoring and Compliance: Actively monitor and evaluate the performance of analytical projects, ML models or research studies, to ensure they meet high standards of quality, effectiveness, and reliability. This role involves integrity and ethical use of data, adherence to legal and safety standards, and the proactive identification and mitigation of any form of drift or deviation from expected outcomes. This position does not entail on-call operations but requires a consistent commitment to maintaining the highest standards of operational and research integrity.
• Continuous Improvement: Demonstrate a commitment to continuous learning and professional development. Stay current with industry trends, best practices, and emerging technologies in data architecture, database development, machine learning, statistical analysis and healthcare analytics. Look for opportunities to optimize the team's processes and workflows.:

Education or Equivalent Experience:

• Bachelor of Arts or Science Computer Science, Statistics, Data Science, Mathematics or related field (Required)
• And 4+ years Experience in data architecture, database development, machine learning, statistical analysis and healthcare analytics. Proven track record of leading and executing moderately complex projects with minimal oversight. (Required)
• Master of Arts or Science Computer Science, Statistics, Data Science, Mathematics or related field (Preferred)

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.