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Post-Doctoral Researcher in Data Science

Post-Doctoral Researcher in Data Science

Regenstrief Center for Healthcare Engineering (RCHE) is announcing a search for a Post-Doctoral Researcher with the goal of analyzing health data including electronic health records (EHR), insurance claims, social determinants of health (SDoH), and model development on data science foundations.  

The Post-Doctoral Researcher will support the RCHE’s data analytics activities based on inputs from key stakeholders  and under the supervision of the Director of RCHE. He/she will interact with external partners and the broader internal team, including Health Equity Analysts, for model and analytical solution development. The ideal candidate will be a strong team player who works well under pressure in an ever-changing high paced environment and has the ability to juggle multiple demands and meet deadlines. This position also needs to be able to interpret and visualize the analytical solution for partners.  To express your interest, please send your CV to Melanie Cline.

Job responsibilities

  • Evaluate data science customer needs and design and develop analytical solution, methodological framework, and their software implementation
  • Develop end-to-end data life cycle process including data acquisition, data preparation, loading and cohort creation for specific customer needs
  • Develop visualization tools for customer communication and interpretation
  • Work with research scientists and other stakeholders for scientific manuscript preparation. Present research results to internal and external customers.
  • Work with graduate students and other researchers for training of data usage platforms and regulatory process.
  • Participate in grant writing as directed by the supervisor.

Required

  • Ph.D. in Computer Science, Computer Engineering, Computer Information Technology, Statistics, or a related field
  • Experience in a cloud computing environment such as Amazon Web Service is a plus
  • Experience using health data such as electronic health records and insurance claims
  • Advanced skills in Linux shell scripting language, programming languages such as Java, Python, C and, SQL
  • Advanced skills in data analytics design experience using health data such as electronic health records and insurance claims.
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