Computational Biologist Researching Cancer Genomics At Yale University

The Sheltzer Lab at Yale University is seeking a Computational biologist for a cutting-edge project analyzing the genomic aberrations found in cancer.

Our laboratory is broadly interested in identifying the genetic changes that occur during tumorigenesis and influence drug sensitivity, metastasis, and patient outcomes. We apply a number of high-throughput approaches, including CRISPR screening, RNA-Seq, single-cell sequencing, and copy number profiling, to generate comprehensive data on cancer physiology in vitro and in vivo. Through this work, we seek to improve our understanding of the genetic drivers of aggressive tumors and identify cancer-specific therapeutic vulnerabilities. We are particularly interested in uncovering the role of aneuploidy, or chromosome copy number changes, in cancer-related processes. We are looking to hire a Computational biologist who will work closely with other scientists in the Sheltzer Lab to aid in the design and analysis of high-throughput experimental results. Initial responsibilities will include conducting copy number analysis on cancer specimens, identifying patterns of transcriptional alterations following drug treatments, and contributing to the analysis of CRISPR screening data. More information on research in the Sheltzer Lab can be found on our website, www.sheltzerlab.org, and in our recent publications:

Girish, V., Lakhani, A.A., Thompson, S.L., Scaduto, C.M., Brown, L.M., Hagenson, R.A., Sausville, E.L., Mendelson, B.E., Kandikuppa, P.K., Lukow, D.A., Yuan, M.L., Stevens, E.C., Lee, S.N., Schukken, K.M., Akalu, S.M., Vasudevan, A., Zou, C., Salovska, B., Li, W., Smith, J.C., Taylor, A.M., Martienssen, R.A., Liu, Y., Sun, R., Sheltzer, J.M. (2023). Oncogene-like addiction to aneuploidy in human cancers. Science. doi:10.1126/science.adg4521.

Brown, L.M., Hagenson, R.A., Sheltzer, J.M. (2023). An elevated rate of whole-genome duplication events in cancers from Black patients. medRxiv. doi:10.1101/2023.11.10.23298349.

Position Requirements

· A bachelor’s degree in computer science, bioinformatics, mathematics, molecular biology, statistics, or a related field is required. A master’s degree or a PhD is preferred but not mandatory.

· Proficiency in Python, R, Linux, and command line tools.

· A strong background in genomics, including WGS, RNA-Seq, and single-cell approaches.

· Excellent oral and written communication skills including the ability to effectively generate data visualizations suitable for presentation and publication.

The Sheltzer Lab is a highly-collaborative environment that values rigorous research and that welcomes scientists from all backgrounds. We are located at Yale University, an internationally-renowned research institution located in the historic city of New Haven, Connecticut. This position is in-person and offers a competitive salary and benefits package.

Yale University is an EO/AA Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status. Candidates who are interested in applying to this position should send a CV, cover letter, and a link to a public code repository to Dr. Sheltzer at Jason.Sheltzer@yale.edu.

Job Type: Full-time

Pay: $65,000.00 - $75,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• On-site gym
• Paid parental leave
• Paid time off
• Visa sponsorship
• Vision insurance

Schedule:

• Choose your own hours
• Weekends as needed

Education:

• Bachelor's (Required)

Experience:

• Python: 2 years (Required)
• Human genomics: 1 year (Required)

Ability to Relocate:

• New Haven, CT 06511: Relocate before starting work (Required)

Work Location: In person