POSITION SUMMARY
We are seeking a full-time Bioinformatics Researcher to join our team at the Buck Institute for Research on Aging on 3 projects:
- The Buck Institute’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 can cross-train to improve their individual skills in data analysis and career development under the mentorship of Dr. David Furman.
- The Program Projects Grant (PPG) “Cellular senescence and cell fate/interactions as drivers of Alzheimer's and age-related dementias” has a goal to determine 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 a cross-consortium program to study senescent cells which play positive and negative roles in biological processes. As part of the Buck Institute’s SenNet Tissue Mapping 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.
These projects will provide a unique opportunity to work in academia with a close-knit team, collaborate within the Institution with experts in the field of aging, and participate in a nationwide effort to further the field.
KEY 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 repurposing
- 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 (SOP) 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
COMPENSATION & BENEFITS
- Competitive salary ($75,000 - $100,000) 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
- Work visa sponsorship available for qualified candidates
Required Education & Experience
- Master’s or PhD degree in Computational Biology, Bioinformatics or Data Science
- 2+ years professional experience in a biological field
- Proficient in R programming, Python and Bash scripting
Other Skills
- 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
Preferred
- Experience with Human data
Interested candidates should click the Apply button to complete the online application. Please upload both your CV and a document that includes a brief statement of your interests plus the names/contact information for 3 references.