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
Group or Departmental Website:
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.