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Postdoctoral Fellow
Postdoctoral Scholar Full-time
The Foy Lab (www.foylab.xyz/) at the University of Washington has an outstanding opportunity for a 1.0 FTE Postdoctoral Scholar. This position will focus on development of computational methods for enhancing and personalizing interpretation of routine blood tests, to enable earlier and more accurate disease detection in outpatient settings. This full-time, 12-month position has immediate availability for an initial one-year appointment. The position will be renewable annually contingent on performance and available funding. The base salary range for this position will be $5,833-7,083 per month ($70,000-$85,000 annually), commensurate with qualifications and experience.
The University of Washington, Department of Laboratory Medicine and Pathology is a broad and dynamic department that strives for a consistent level of high achievement in all of its activities. The Department offers full diagnostic services in all areas of Laboratory Medicine and Pathology, is a top ranked research organization as measured by research awards from the National Institutes of Health and offers an array of specialized educational training programs. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.
General Duties:
The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/), focused on developing computational, mathematical and statistical methods for analysis of blood cell dynamics from clinical samples. This role will involve development of statistical dynamics models, and application of them to perform high throughput analysis of clinical data. The chosen candidate will collaborate with clinicians to drive impact from these models, and use them to benefit patient care through active deployment into the clinic.
General duties:
• Develop probabilistic and statistical models (differential equations, statistical mechanics, etc.) of blood cell dynamics.
• Develop efficient computational pipelines for simulation and parameter estimation.
• Apply frameworks to large-scale clinical data, and link models to targeted clinical tasks, through engagement with clinical collaborators.
• Contribute to lab culture, and to dissemination of academic findings.
Requirements:
Education requirement: PhD in Applied Math, Computer Science, Biomedical Engineering or equivalent.
The ideal candidate will additionally have experience in:
• Computational analysis of single-cell.
• Experience working with clinical databases
• Expertise in Bayesian statistics and inference.
While not essential, preference will be given to candidates with experience in clinical health record analysis, time series analysis, and applications in hematology or laboratory medicine.
Interested candidates should email Dr Brody Foy ([Please click the Apply button for the link or address]), with a brief overview of their skillsets and interests, a copy of their CV, and copies of 1-2 of their most significant publications.