Description
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.
Responsibilities:
- 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
