Skip to content Skip to navigation

Open Postdoctoral position, faculty mentor Frederick Dirbas

Important Info

Faculty Sponsor (Last, First Name): 
Dirbas, Frederick
Other Mentor(s) if Applicable: 
Andrew Newman, PhD; Michael Clarke, MD
Stanford Departments and Centers: 
Surg: General Surgery
Postdoc Appointment Term: 
One year with option for renewal
Appointment Start Date: 
9/1/2024
How to Submit Application Materials: 

For further inquiries, please contact:
Kathleen M. Sochan
ksochan@stanford.edu
 

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.

We are seeking a highly motivated and skilled Postdoctoral Fellow in Bioinformatics to join our dynamic research team. The primary focus of the research will be on the biology of breast cancer, with a special emphasis on radiobiology and the new paradigm of FLASH radiotherapy. This position offers an exciting opportunity to contribute to cutting-edge research aimed at understanding and combating breast cancer while minimizing normal tissue toxicity.
Key Responsibilities:

  • Primarily conduct advanced bioinformatics analyses to support research in breast cancer biology.
  • Serve as a outstanding resource to apply biomedical statistical tools for data analysis for our groups' ongoing preclinical work and tissue assays.
  • Perform RNA sequencing, including bulk sequencing, single-cell sequencing, and analyze spatial transcriptomics data.
  • Integrate and analyze data from mass spectrometry experiments (if experienced).
  • Collaborate with a multidisciplinary team of researchers in breast cancer, radiation oncology, radiobiology, stem cell biology,
  • Prepare and present research findings at scientific meetings and in peer-reviewed journals.
Required Qualifications: 
  • Ph.D. in Bioinformatics, Computational Biology,  or a related field.
  • Comprehensive knowledge of biomedical statistical tools and RNA sequencing techniques.
  • Proficiency in bulk sequencing, single-cell sequencing, and understanding of advanced transcriptomics techniques especially spatial transcriptomics.
  • Experience with mass spectrometry is an advantage.
  • Background in breast cancer biology is an advantage.
  • Strong programming skills in languages such as R, Python, or similar.
  • Excellent communication and collaboration skills.

Preferred Experience:

  • Demonstrated experience in radiobiology and stem cell biology.
  • Proven track record of publications in high-impact scientific journals.
  • Ability to work independently and as part of a collaborative team.
Required Application Materials: 
  • Email with a cover letter describing your research interests and career goals.
  • A detailed CV including a list of publications.

 

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.