Senior Bioinformatics Scientist-Furman lab - Buck Institute
NOVATO, CA 94945
About the Job
POSITION SUMMARY
We seek a talented and experienced Senior Bioinformatics Scientist to join our dynamic team for our R03 and U01-funded research projects. The ideal candidate will bring expertise in bioinformatics analysis, with a strong focus on data integration and computational modeling. This role will apply machine learning techniques to biological data, helping advance innovative research at the intersection of cellular biology and whole-system function. This is a hybrid, full-time position.
KEY RESPONSIBILITIES
Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. We are an equal-opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
TO APPLY
If you are passionate about using your bioinformatics expertise to advance the understanding of aging and contribute to the development of novel therapeutics, we encourage you to apply for this exciting opportunity.
To be considered, please apply online and submit your CV plus a PDF document that includes a summary of your research interests and the names, email, and phone numbers of 3 references.
We seek a talented and experienced Senior Bioinformatics Scientist to join our dynamic team for our R03 and U01-funded research projects. The ideal candidate will bring expertise in bioinformatics analysis, with a strong focus on data integration and computational modeling. This role will apply machine learning techniques to biological data, helping advance innovative research at the intersection of cellular biology and whole-system function. This is a hybrid, full-time position.
- R03 Project Description: By predicting tissue aging at the individual organ level through the analysis of blood samples, the proposed study has the potential to avoid unnecessary diagnostic tests and a ‘one-size-fits-all’ treatment or other interventional procedures, resulting in huge cost savings for healthcare systems and ultimately benefiting public health. Furthermore, this study provides new insights into how lifestyle and environmental cues can differentially impact aging across tissues and proposes a series of candidate compounds that may prevent age-driven tissue damage and diseases.
- U01 Project Description: The major goals of this project are to:
- Determine sex-specific aging effects between organs and identify circulatory markers associated with organ aging
- Identify organ-specific Blood Biomarkers of Aging and assess their effects on Cardiovascular Health
- Evaluate the effects of neutralizing organ-specific SASP markers on age-associated heart dysfunction in vivo.
KEY RESPONSIBILITIES
- Conduct bioinformatics analysis, including data mining, statistical modeling, and algorithm development, to support grant-related research projects.
- Collaborate with multidisciplinary teams, including biologists and computational scientists.
- Maintain and enhance data pipelines for large-scale biological data processing.
- Prepare and present analysis results to scientific teams and contribute to research publications.
- Master’s or PhD in Bioinformatics, Computational Biology, Data Science, or a related field.
- Proven experience in bioinformatics analysis, with strong programming skills (Python, R, etc.).
- Hands-on experience with computer vision techniques and tools.
- Familiarity with data integration methods and biological databases (e.g., NCBI, GTEx, etc.).
- Experience with statistical and machine learning methods.
- Excellent communication and team collaboration skills.
- Prior experience working on federally funded grants is desirable.
- Experience with computer vision techniques is a plus.
- Competitive $90,000 - $100,000 salary range
- Full-time, hybrid position with career growth potential
- Opportunities to work on high-impact research with leading institutions
Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. We are an equal-opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
TO APPLY
If you are passionate about using your bioinformatics expertise to advance the understanding of aging and contribute to the development of novel therapeutics, we encourage you to apply for this exciting opportunity.
To be considered, please apply online and submit your CV plus a PDF document that includes a summary of your research interests and the names, email, and phone numbers of 3 references.
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Source : Buck Institute