Director, Data Science Operations

January 27, 2023
New York City
Job Type
Work Setting


We are seeking a Director, Data Science Operations to join our AI and Data Science (AI/DS) team. As the Director of Data Science Operations, you will lead data initiatives for internal stakeholders in AI/DS. This expert will set up processes and infrastructure including using machine learning to monitor the quality of EMR and integrated third-party data such as claims data which are utilized by AI/DS. This individual will serve as the voice of AI/DS on cross-functional teams serving to improve data quality. In addition, this role will have oversight of a team responsible for provisioning patient cohorts of interest for retrospective studies. Strong candidates will have prior experience working in the healthcare industry, or in a similar capacity as a consultant or domain expert.


  • Lead initiatives around benchmarking and improving data quality that impact AI/DS
  • Serve as VOC on cross-functional teams and develop strong relationships with Alliance Management, RWD Engineering and peers in AI/DS
  • Lead standardization of cohort provisioning (i.e., patient selection) for retrospective studies using Tempus database
  • Develop and mentor a team of direct reports

Suggested Qualifications:

  • MS/PhD degree in a quantitative discipline (e.g. statistical genetics, cancer genetics, machine learning, bioinformatics, statistics, computational biology, biomedical informatics, or similar)
  • 5+ years of supervisory experience
  • 5+ years of related experience. Experience with genomic (e.g., DNA-seq, RNA-seq) or clinical (survival data, trials, real world evidence, claims) data, and familiarity with methods for time to event analysis (Kaplan-Meier, Cox regression) desirable
  • Strong programming skills and experience with the python clinical+molecular data science stack: Pandas, NumPy, SciPy, Scikit-learn, lifelines, and Jupyter. Experience with R is desirable.
  • Strong database and SQL skills (BigQuery, dbt)
  • Experience with engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing)
  • Demonstrated experience in building pragmatic solutions and long-term scalable designs
  • Thrive in a fast-paced environment and able to shift priorities seamlessly
  • Strong attention to detail, specifically in the realm of clinical data models, data quality, consistency, etc.
  • Excellent communication skills with demonstrated ability to influence stakeholders and collaborators from a broad range of backgrounds (medical/scientific/engineering, etc.)
  • Demonstrated ability to successfully navigate ambiguity and complexity
  • Team player mindset and ability to work in an interdisciplinary team
  • Goal orientation, self motivation, and drive to make a positive impact in healthcare
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