Senior Bioinformatics and Data Scientist - Furman lab

Full-time - Senior

Novato, CA

Professional, Scientific, and Technical Services

About the position

We are seeking a full-time Senior Bioinformatics and Data Scientist to join our team at the Buck Institute for Research on Aging to work on projects in academia with a close-knit team, collaborate with experts in the field of aging, and participate in a nationwide effort to further the field. The Buck Institute for Research on Aging's Bioinformatics Core is a collaborative group of data analysis scientists who pool their knowledge and skills to provide cutting-edge services for internal and external researchers. Members cross-train to improve their data analysis skills and career development under Dr. David Furman's mentorship. The Program Projects Grant (PPG) 'Cellular senescence and cell fate/interactions as drivers of Alzheimer's and age-related dementias' focuses on how age-related changes in both neurons and non-neuronal brain cells can drive these pathologies, with the promise of developing effective interventions. The NIH-directed SenNet Tissue Mapping Center located at the Buck Institute for 'Senescent cell mapping, identification, and validation for human somatic and reproductive tissues' is part of a cross-consortium program to study senescent cells that play positive and negative roles in biological processes. As part of this Center, our Data Analysis Core is the nucleating facility between the Biospecimen Core, Administrative Core, and Bioanalysis Core of the U54 NIH longitudinal study of cellular senescence. The 'Biomarkers of Aging in Human Cohorts Project' is a collaboration between multiple Buck Institute Principal Investigators to investigate biomarkers of aging and vaccine response in human cohorts. The Furman Lab member will help analyze metabolomics and proteomics data to consolidate vaccine response biomarkers.

Responsibilities

• Perform data analysis as part of the Bioinformatics Core including Omics Analysis (transcriptomics (single-cell and bulk), proteomics, metabolomics)
• Simple/Multiple Linear Regression
• Parametric and Non-parametric Statistics
• Classification Methods (random forest, SVM)
• Neural Networks
• Computer vision (Feature extraction)
• Biological Aging Calculations (Omics Clocks)
• Candidate gene studies and GWAS
• Enrichment Analysis
• Dimensionality Reduction
• Drug re-purpose
• Integrative Multi-omics
• Analyze and curate data from the SenNet project
• Interact and coordinate between groups to ensure timely collection of data
• Curate and upload data samples to the central repository
• Review and improve Standard Operating Procedures (SOPs) for data transfer and management
• Attend meetings and collaborate with NIH SenNet groups to improve upon current systems
• Analyze and curate data from the PPG project
• Interact and coordinate between groups to ensure timely collection of data
• Data curation and analysis
• Collaborate with staff members, research scientists, and principal investigators
• Grant Writing
• Journal Article Writing
• Figure Creation

Requirements

• PhD degree in Computational Biology, Bioinformatics, or Data Science
• Minimum of 2 years professional experience in a biological field
• Proficient in R programming, Python, and Bash scripting
• Knowledge and experience developing and running Bioinformatics workflows
• Outstanding analytical, mathematical, and creative problem-solving skills
• Excellent listening, interpersonal, written, and oral communication skills
• Logical and efficient, with keen attention to detail
• Highly self-motivated and directed; works well independently and as a team
• Ability to effectively prioritize and execute tasks
• Experience in Computer Vision

Nice-to-haves

• Experience with Human data

Benefits

• Competitive salary ($95,000 - $105,000) commensurate with experience
• Exciting, collaborative work environment at the forefront of science using state-of-the-art techniques
• Generous benefits package including health insurance, paid parental leave, generous PTO and 401(k) with 5% employer match & student debt repayment
• Work visa sponsorship available for qualified candidates