Situated in Stanford’s highly dynamic research environment, the Stanford PEDSnet team seeks a Research Data Scientist (Research Data Analyst 2) to develop high quality coherent research-ready biomedical datasets, and manage and analyze clinical data (i.e. electronic health records, administrative claims data, etc.) under the direction of the PEDSnet leadership team. The Research Data Scientist will partner with researchers and clinicians to enable effective and efficient use of the PEDSnet Common Data Model, PCORnet Common Data Model, and/or OMOP/OHDSI databases along with their respective cohort query tools and interfaces. This individual will be responsible for continuous evaluation of the health of these datasets and enterprise tools used by the research community and for developing new analytical methods supporting novel research. The Research Data Scientist will help researchers and clinical staff maximize their understanding, interpretation and use of these clinical and research tools for more informed and productive research, clinical trials, patient care and quality outcome projects. They will be embedded in research projects from inception to publication and will serve as the lead data scientist for Stanford within PEDSnet.
The job duties listed below are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility.
Ideal person for this position is an individual with a sense of curiosity, deep knowledge of clinical data, quality analysis and validation methodologies; and strong interpersonal skills needed to work collaboratively with technical and non-technical stakeholders within and outside the Stanford research community, including faculty, researchers, clinicians, hospital administrators, engineering teams, IT staff and research coordinators. This is a highly collaborative position that will intersect with several Stanford Medicine teams including but not limited to: Research IT, Research Informatics Center, Quantitative Sciences Unit.
This role is open to candidates anywhere in the United States; however, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment VISA at this time. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $85,000 to $126,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process
DESIRED QUALIFICATIONS:
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
Additional Information