Boston, Massachusetts
Northern & Central California, California
Charlottesville, Virginia
Los Angeles, California
Syracuse, New York
Brownsville, Texas
Los Angeles, California
New York, New York
Los Angeles, California
San Francisco, California
Chapel Hill, North Carolina
Qualified candidates should have:
- A Ph.D. or equivalent degree in computational biology/bioinformatics, or related field.
- Ability to program in R/Rshiny and Python, familiarity with GitHub, Docker, and Unix systems, knowledge of database management and other programming languages a plus.
- Demonstrated biostatistics, applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals.
- Demonstrated knowledge and use of publicly available omics data resources (TCGA, CPTAC, CCLE, GTEx, CMap, HTAN, etc.)
- Demonstrated understanding of cancer biology.
To apply: Submit an application including a statement of interest, a complete CV that includes details of training, research experiences, publications, and presentations at conferences, and contacts of 3 letter writers.
These positions will be supported through NIH/NCI/NIDCR R01/U01 funding, and the generous donations of Find the Cause Breast Cancer Foundation
Address inquiries to:
Stefano Monti, Ph.D.
Section of Computational Biomedicine
Boston University School of Medicine
Email: montilab@bu.edu
David Sherr, Ph.D.
Boston University
Email: dsherr@bu.edu
Please note all newly hired staff and faculty will need to be in compliance with Boston University's COVID-19 Vaccination and Booster Requirement within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption (instructions). For further information on the University's response to COVID-19, please visit the COVID-19 Resources site.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.
