Data Scientist - Population Health



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PENNEP's client is in search of a talented and dedicated Data Scientist with expertise in Population Health to contribute to their transformative projects. As a Data Scientist, you will lead the charge in transforming existing Population Health algorithms into production-ready solutions. This role offers the chance to apply advanced data science techniques to drive innovation and efficiency in healthcare analytics, contributing to the improvement of patient outcomes and overall population health. Join us in making a meaningful impact on the future of healthcare through data science.


  • 5 years of specific experience in Data Science, with a focus on the Population Health subject area.
  • Lead the effort to transform a current Population Health algorithm into a production-ready state. This includes standardizing data models, output formats, and comprehensive documentation.
  • Ensure that the Population Health algorithm meets the necessary criteria for production use, including scalability, efficiency, and reliability.
  • Collaborate with cross-functional teams, including data engineers, architects, and other stakeholders, to integrate the refined algorithm seamlessly.
  • Create detailed documentation for the standardized data models, output, and any modifications made to the Population Health algorithm.
  • Perform rigorous testing and validation to ensure the accuracy and effectiveness of the transformed algorithm.
  • Ensure that the transformation project is completed within the specified timeline, meeting the project's deadlines.


  • Demonstrated experience as a Data Scientist, with a specific focus on Population Health.
  • Strong knowledge of data modeling, statistical analysis, and machine learning techniques.
  • Proficiency in Python, R, or other programming languages commonly used in data analysis.
  • Experience with big data technologies such as Hadoop, Spark, or AWS.
  • Strong knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
  • Familiarity with natural language processing (NLP) techniques for text mining and sentiment analysis.
  • Ability to manipulate and analyze complex datasets using SQL or other database query languages.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Strong problem-solving skills and the ability to think critically about business challenges.
  • Excellent communication skills with the ability to present complex findings in a clear and concise manner.
  • Experience transforming algorithms for production use.
  • Excellent communication and collaboration skills.
  • Proficiency in documenting complex data science processes.
  • Strong problem-solving and analytical skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and in a team environment.
  • Strong attention to detail and ability to manage multiple tasks.

Nice to Have

  • Familiarity with healthcare data standards and interoperability.
  • Knowledge of population health management tools and platforms.
  • Previous experience in deploying data science models to production.
  • Exposure to cloud-based data science platforms.
  • Certification in relevant data science or population health domains.


Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Employment Type


Work Arrangements

Remote Work

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