Computational Biology & Aging / Bioinformatics Core Co-DirectorLocation: Novato, CA Position Type: Full-time, onsite required Salary Range: $125,000–$140,000, depending on experience About The Opportunity The Furman Lab at the Buck Institute for Research on Aging invites applications for a Senior Scientist or Postdoctoral Researcher to join a newly initiated, five-year government-funded research program focused on understanding the mechanisms of aging and developing interventions to extend healthspan. This is an exceptional opportunity to contribute to large-scale, multi-institutional science at one of the world’s foremost dedicated aging research institutes. In addition to their research role within the project, the successful candidate will serve as Co-Director of the Buck Institute’s Bioinformatics and Data Science Core , playing a central role in expanding the Core’s capacity, service offerings, and scientific impact across the Institute. Primary Responsibilities
Develop and apply computational pipelines for the analysis of large-scale multi-omics datasets, including genomic, transcriptomic, epigenomic, and proteomic data, in the context of aging research
Build and refine integrative models of biological aging using longitudinal cohort and experimental data generated within the project consortium, including AI/ML-based approaches
Collaborate closely with experimental and clinical investigators to translate biological questions into rigorous analytical frameworks
Contribute to the design of computational strategies for cross-platform data harmonization, quality control, and reproducible analysis
Serve as Co-Director of the Bioinformatics and Data Science Core, providing analytical consultation and support to Buck Institute investigators
Help define Core priorities and participate in efforts to grow the Core’s scientific and operational capacity
Mentor junior trainees and research staff in computational methods and best practices
Contribute to manuscripts, grant reports, and presentations disseminating project findings to the broader scientific community
QualificationsSenior Scientist Level Candidates for the Senior Scientist level should have:
Ph.D. in bioinformatics, computational biology, biostatistics, systems biology, or a related discipline, with substantial postdoctoral or equivalent experience
Demonstrated record of independent research, as evidenced by peer-reviewed publications in high-quality journals
Proven expertise in the analysis of next-generation sequencing data, such as RNA-seq, ATAC-seq, single-cell omics, whole-genome sequencing, or whole-exome sequencing
Experience leading or co-leading collaborative research projects and mentoring trainees
Postdoctoral Researcher LevelCandidates for the Postdoctoral Researcher level should have:
Ph.D. in bioinformatics, computational biology, biostatistics, or a closely related field, awarded within the past five years or expected imminently
Strong analytical foundation with demonstrated proficiency in multi-omics data analysis, including published or preprint research
Enthusiasm for developing an independent research program within a collaborative and highly supportive environment
Required Technical Skills
Proficiency in one or more scientific programming languages, such as Python or R
Fluency with standard bioinformatics toolkits, such as Bioconductor, Seurat, Scanpy, GATK, STAR, or DESeq2
Familiarity with statistical methods for multi-omics data integration, dimensionality reduction, and biological network analysis
Commitment to rigorous, reproducible, versioned, and well-documented computational research practices
Preferred Qualifications
Prior research experience in aging biology, geroscience, or the analysis of aging-related cohorts or model organism datasets
Experience with epigenomic clock methodologies, biological age estimation, or related computational frameworks
Experience integrating heterogeneous data, electronic health records, or large clinical datasets
Familiarity with multi-step agentic workflows, retrieval-augmented generation, and vector search methods
Experience with high-performance computing environments and workflow management systems
Familiarity with cloud computing platforms, such as AWS, Google Cloud, or equivalent, for large-scale data analysis
Experience contributing to or directing a bioinformatics core or shared resource facility
About the Buck Institute The Buck Institute for Research on Aging is a world leader in aging research, with a mission to end the threat of age-related disease. The Institute brings together scientists from diverse disciplines to understand the biology of aging and translate discoveries into interventions that promote longer, healthier lives. The Buck Institute is an equal opportunity employer and welcomes applications from candidates of all backgrounds. We are committed to creating an inclusive environment for all employees. To Apply Interested candidates should submit a curriculum vitae and cover letter briefly describing their research experience, computational expertise, interest in aging biology and the Bioinformatics and Data Science Core Co-Director role.