Senior Healthcare AI Data Scientist - Remote

Penn Medicine

Philadelphia (Philadelphia County)

Remote

USD 120.000 - 170.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Prepaid tuition assistance program

Zusammenfassung

Penn Medicine is seeking a Senior Data Scientist to partner with ML engineers and clinicians in solving complex healthcare problems. You will develop, validate, and deploy machine learning models to improve patient care and outcomes, while optimizing data tools and scalable architecture for clinical, operational, and research efforts.

The role emphasizes collaboration across disciplines, rigorous analytics, and responsible data use, with a remote-friendly setup within the Penn Medicine system.

Qualifikationen

  • Degree or equivalent in a related field is required.
  • Experience leading data science projects in healthcare analytics.
  • Strong understanding of ML methods and statistical practices.

Aufgaben

  • Collaborate with ML engineers to solve complex healthcare problems.
  • Develop, validate and deploy ML models to improve patient care.
  • Optimize data tools and scalable architectures for clinical, operational and research use.
  • Monitor model performance and ensure data integrity and ethics compliance.
  • Lead data-driven projects with cross-functional teams.

Kenntnisse

Statistical analysis
Machine learning
Healthcare analytics
Data architecture

Ausbildung

Bachelor of Arts or Science in Computer Science, Statistics, Data Science, Mathematics or related field
4+ years experience in data architecture, database development, machine learning, statistical analysis and healthcare analytics
Master of Arts or Science in Computer Science, Statistics, Data Science, Mathematics or related field

Jobbeschreibung

Penn Medicine is seeking a Senior Data Scientist to partner with ML engineers and clinicians in solving complex healthcare problems. You will develop, validate, and deploy machine learning models to improve patient care and outcomes, while optimizing data tools and scalable architecture for clinical, operational, and research efforts.

The role emphasizes collaboration across disciplines, rigorous analytics, and responsible data use, with a remote-friendly setup within the Penn Medicine system.

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