Important Info
Interested candidates should submit a single combined PDF that includes (1) a letter of interest with a brief summary of previous research experience (~1 page), (2) a current CV/resume, and (3) contact information for three references. Please email application materials to Ruben Colman at rcolman@stanford.edu and cc Kristoffer Nguyen at krisng@stanford.edu.
The Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, within the Center for IBD and Celiac Disease, is seeking a creative, collaborative, and highly motivated Postdoctoral Fellow to join the Colman Lab. Embedded in the fabric of a thriving scientific community at Stanford, our research program focuses on precision therapeutics for children living with Inflammatory Bowel Disease (IBD). We integrate clinical pharmacology, -omics methods and novel endpoints into innovative applications that lead to better outcomes for children with IBD.
The successful candidate must hold a PhD, PharmD or MD/DO with a focus on pharmacometrics or computational biology/bioinformatics focused on -omics with an interest in pharmacometrics. The individual will focus on pioneering innovation and patient-centric applications that ultimately lead to improved clinical outcomes. By leveraging innovative pharmacokinetic (PK) and pharmacodynamic (PD) methods, the postdoc will integrate clinical pharmacology with advanced -omics analysis. Specifically, the candidate will leverage PK-PD models that integrate mirobial biomarkers for children with IBD and build novel model-informed precision dosing applications. Located in the epicenter of Silicon Valley, the Colman Lab utilizes state-of-the-art AI-assisted tools and innovative machine learning (ML/AI) methodologies to move the needle on translational medicine. The postdoctoral fellow will work as an integral part of a dynamic, transdisciplinary team, driving independent research while contributing to the wider lab and Stanford community. As part of this team science approach, there are additional opportunities for interdisciplinary co-mentorship on specific -omics.
Stanford University offers a highly diverse environment with over 2,400 Postdoctoral scholars. The campus consists of over 8,000 contiguous acres, with a $1.93 billion annual research budget and a $28.9 billion dollar endowment. Nineteen Nobel laureates are currently members of the Stanford community, as are 167 members of the National Academy of Science, among the almost 2,300 faculty.
- A Ph.D., PharmD, MD, DO or equivalent qualification.
- Specialized training in clinical pharmacology with a strong focus on pharmacometrics or a Ph.D. with a strong bioinformatics background in omics analysis and a demonstrated aptitude to quickly learn pharmacometrics.
- Comprehensive understanding of scientific principles and expert-level knowledge in fields related to the research project.
- Proficiency in data analysis and quantitative modeling using R and/or Python.
- Experience with PK-modeling within NONMEM, R or Python environments.
- Strong general computer skills, with the ability to quickly master and implement innovative ML/AI methods and AI-assisted tools.
- Demonstrated excellence, detail-orientation, and productivity in research.
- Ability to work independently and function effectively as part of an interdisciplinary and transdisciplinary team.
- Ability to use a reproducible computational workflow with Github or equivalent.
Desired:
- Prior hands-on experience with NONMEM is highly preferred.
- Background or experience in modeling complex biological systems, inflammatory diseases, or diverse clinical patient sample data.
- Familiarity with processing and analyzing multi-omics datasets (e.g., metagenomics, metabolomics or proteomics) integrated with clinical pharmacology data.
- Excellent communication skills for collaborating across medical, computational, and pharmaceutical disciplines.
- Summary of previous research experience and interest
- CV/resume
- Three references