Posted on Tue, 08/20/2024 - 12:52

Important Info

Faculty Sponsor (Last, First Name): 
Mackall, Crystal
Other Mentor(s) if Applicable: 
Zinaida Good, PhD
Stanford Departments and Centers: 
Stanford Cancer Center
Postdoc Appointment Term: 
The position is initially for one year with possibility of renewal based on performance.
Appointment Start Date: 
Available Immediately, Start Date Flexible
Group or Departmental Website: 
https://med.stanford.edu/cancer-cell-therapy.html
How to Submit Application Materials: 

Please submit application materials using the following link:

https://app.smartsheet.com/b/form/dcc606d9e1c24ae4b5fed8f61f572fb4 

Does this position pay above the required minimum?: 
No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800.

The Mackall Laboratory is seeking a creative and motivated computational immunologist to join as a Postdoctoral Fellow working within the Stanford Center for Cancer Cell Therapy at Stanford University School of Medicine

The Mackall Lab is excited to offer a Postdoctoral Fellow position with a focus on machine learning in the Stanford Center Cancer Cell Therapy at Stanford University School of Medicine.  We seek a highly creative and motivated scientist to perform cutting-edge computational research on multimodal data from patients receiving engineered T cell immunotherapies.
 
We have recently completed groundbreaking clinical studies of CD19/CD22-targeted and GD2-targeted CAR T cell therapies (Spiegel et al. Nat Med 2021, Majzner et al. Nature 2022, Frank et al. Lancet 2024). We have generated a wealth of single-cell sequencing, spatial, clinical, and other types of data from these and other patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models to nominate cell designs that will enable engineering the next generation of CAR T cell immunotherapies.

Applicants will have the opportunity to work with a stellar team of interdisciplinary scientists. This position will be located in the Center's Cancer Cell Therapy Data Hub, which is led by Dr. Zinaida Good and provides a collaborative environment that pushes the cutting edge of technology to learn from patients about why engineered cellular immunotherapies succeed or fail in patients. A successful candidate will leverage the hub’s multimodal data assets and model prototypes to build state-of-the-art generative AI models for in silico CAR T cell designs with the goal of improving therapeutic potential. We are located amid a vibrant academic research community at Stanford School of Medicine in the center of Silicon Valley.

The position is available immediately and the start date is flexible. The position is initially for one year with possibility of renewal based on performance.

Required Qualifications: 
  • PhD or MD/PhD
  • Strong programming skills, preferably in R and/or Python
  • Previous expertise and/or interest in single-cell sequencing technologies, bioinformatics, spatial analyses, and generative AI is desired
  • We are particularly interested in candidates who are self-motivated, think creatively, scientifically rigorous, and enjoy collaboration
Required Application Materials: 
  • Cover letter indicating: (1) how your prior experience aligns with this position; and (2) how this position will further your career goals
  • CV with complete list of publications
  • Contact information for 3 references

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.