The Big Data-Scientist Training Enhancement Program (BD-STEP) is a 2-year fellowship that addresses big data, patient-centered health challenges through collaboration and training with clinicians and researchers at VA medical centers. You will be provided with a unique opportunity to utilize the VA data infrastructure and apply quantitative techniques to clinical research problems. The BD-STEP program at the VA Palo Alto Health Care System is led by Todd Wagner, PhD and Jennifer Lee, MD, PhD. Fellows at VA Palo Alto will have structured mentoring, in addition to their Stanford (or other academic institution) mentor(s), with VA Palo Alto clinicians and research investigators to gain direct understanding about clinical care and the tremendous capabilities of big healthcare data to impact patient care and the health care system.
This position will remain open until filled. Must meet all eligibility criteria for hire within a VA facility (to include meeting fellowship requirements, receiving clearance from occupational health, and completing the public trust security screening).
- Have earned a PhD in health economics, mathematics, physical science, health science, engineering, or related discipline (to include chemistry, engineering disciplines, epidemiology, computer science, etc.)
- Experience in bioinformatics, modeling, or management of large data sets and a strong background in advanced mathematics and statistics.
- Experience in at least one of the following programming languages is preferred: SAS, SQL, R.
- Ability to write and submit manuscripts collaboratively for peer-reviewed publication.
- Statement of Interest
- Letter of endorsement from academic mentor
- CV or biosketch from academic mentor
- Applicants must be US citizens to be hired within a VA facility