Email materials to Dr Hernandez-Boussard : boussard AT stanford.edu
Applications are invited from ambitious, independent and motivated candidates for a postdoctoral position in the Biomedical Informatics.
The position will focus on clinical research informatics and precision medicine under Dr Hernandez-Boussard with the Department of Medicine (Biomedical Informatics) – Stanford Center for Biomedical Informatics Research (BMIR).
Working with a multi-disciplinary team, we aim to improve the quality of healthcare delivery by developing, implementing, supporting, and scaling research informatics methods and software. Working within a group in BMIR will offer the postdoctoral fellow the opportunity to collaborate with a large variety of collaborators across the school of medicine to develop organizational and informatics skills that could lead to a future leadership position.
Examples of projects that the postdoctoral fellow may participate in include:
- Predictive analytics for opioid/pain management research
- Risk-stratification for optimal treatment pathways in oncology
- Tools to promote FAIR principles (Findable, Accessible, Interoperable, Reproducible)
- Ethical and Trustworthy AI empirical research
- Multi-model data: Combining clinical EHR data with other data types to support precision medicine
- Translational Research: Integration of clinical research to clinical workflow
- Oncology ‘Digital Twin’ development: Develop probable outcome characteristics across different treatment options to guide decisions
The postdoctoral fellow will be involved in the day-to-day operations of a large research informatics group. As a collaborative team scientist, they would contribute to research protocol development; project data manipulation and analysis; authorship of resultant manuscripts, including opportunities to publish on the development, implementation or evaluation of novel research informatics methods.
- Excellent written and oral communication skills
- Be able to work in a highly collaborative fast-paced environment
- Be able to successfully interact with diverse stakeholders, including clinicians, IT staff, basic scientists, and translational researchers
- Ph.D. with a strong background in biomedical informatics (e.g. information extraction from electronic medical records and predictive modeling)
- Proven track record in either R programming or python. Proficiency in other programming environments is a plus
- Detailed CV
- Cover letter with description of research interests and career goals
- Contact information for three references