Postdoctoral Position in Computational Oncology: The Esfahani Lab in the Department of Radiation Oncology at Stanford University invites applications for a Postdoctoral Position in Computational Oncology. The lab is dedicated to advancing research in computational oncology, focusing on unraveling the complexities of the human regulome through cell-free DNA profiling. The research includes developing cutting-edge computational algorithms and molecular profiling techniques with a focus on early cancer detection, minimal residual disease (MRD) detection, and multi-omic characterization of various cancer types.
Designation: Postdoctoral Researcher
Research Area: Computational Oncology
Location: Stanford University, Department of Radiation Oncology
Eligibility/Qualification:
- PhD in computational biology, cancer biology, bioengineering, or related fields (MDs with computational oncology experience are encouraged to apply)
- Strong publication record in peer-reviewed journals
- Proficiency in R and/or Python
- Basic understanding of statistical modeling and machine learning
- Familiarity with high-throughput sequencing techniques (e.g., whole genome, whole exome, RNA-Seq, scRNA-Seq, ATAC-Seq)
- Excellent oral and written communication skills
- Ability to contribute to lab meetings and discussions
Desirable Qualifications:
- Familiarity with NGS-related software tools and packages (bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat)
- Experience in analyzing spatial transcriptomic data
- Prior experience in developing models for analyzing temporal data
- Knowledge of Bayesian modeling in related applications
Job Description: The successful candidate will contribute to groundbreaking research in computational oncology, participate in lab meetings and discussions, and collaborate on various research projects related to early cancer detection, MRD detection, and multi-omic characterization.
How to Apply: Interested candidates should email application materials, including CV, contact information for reference letters, and a two-page summary of two major publications led or contributed to, to the PI (shahrokh@stanford.edu).
Last Date for Apply: Not specified. Applicants are encouraged to apply at the earliest.
Disclaimer: This post is based on information obtained from a reliable source. Applicants are advised to verify details and obtain the latest information from the official Stanford University Department of Radiation Oncology website.
