Develop, implement, and maintain automated NGS bioinformatics pipelines. Perform variant calling, differential expression, annotation, and pathway analyses. Write reproducible Python/R scripts, adapt tools and algorithms, troubleshoot data quality, optimize pipelines, and collaborate with wet-lab scientists to interpret results.
Our client, a world leader in diagnostics
and life sciences, is looking for an "Bioinformatics Associate 3” based out of South San Francisco, CA.
Hybrid Role 2 days onsite
Job Duration: Long Term Contract (Possibility Of
Further Extension)
Company Benefits: Medical, Dental,
Vision, Paid Sick leave, 401K
Job Description:
We are seeking a highly motivated and skilled Bioinformatician to join our team. The successful candidate will play a critical role in developing, implementing, and maintaining robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data. This position requires strong expertise in either Python or R programming for data manipulation, statistical analysis, and visualization, applied to various genomics research projects. You will work closely with molecular biologists, geneticists, and computational scientists to support our ongoing research and operations efforts.
Key Responsibilities:
- Pipeline Development: Design, develop, test, and optimize automated bioinformatics pipelines for the processing and analysis of diverse sequencing data.
- Data Analysis: Perform advanced statistical and computational analyses of genomics data, including variant calling, differential gene expression, pathway analysis, genomic annotation, and custom analyses tailored to research questions.
- Scripting & Programming: Write efficient, well-documented, and reproducible code primarily in Python or R for data cleaning, transformation, integration, and visualization.
- Algorithm Implementation: Evaluate, implement, and adapt existing bioinformatics tools and algorithms, as well as contribute to the development of novel methods.
- Collaboration: Work collaboratively with wet-lab scientists to understand experimental designs, troubleshoot data quality issues, and interpret biological findings.
- Troubleshooting & Optimization: Identify and resolve technical issues within pipelines and analyses, optimize computational efficiency, and ensure data integrity.
Required Qualifications:
- Training in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a related quantitative field.
- Proven strong programming skills in either Python or R is essential. (Please specify which language you are most proficient in and provide examples of your work if possible).
- Solid understanding of next-generation sequencing (NGS) data types, experimental design, and common bioinformatics analysis workflows.
- Experience with biological databases and public data repositories (e.g., NCBI, Ensembl, UCSC Genome Browser, TCGA, GTEx). Familiarity with version control systems (e.g., Git).
Preferred Qualifications :
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity).
- Proficiency with workflow management systems (e.g., Snakemake, Nextflow, Cromwell/WDL).
- Experience with statistical modeling and machine learning techniques applied to biological data.
- Knowledge of specific sequencing applications relevant to our research (e.g., single-cell genomics, long-read sequencing, epigenomics).
- Experience working in a Linux/Unix environment. Familiarity with high-performance computing (HPC) clusters.
If interested, please send us your updated
resume at
[email protected]/[email protected]
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
As a per diem Staff Pharmacist, you will ensure accurate medication orders, mentor staff, and oversee pharmacy operations, collaborating with healthcare teams for optimal patient care.
Top Skills:
MS OfficeParagonPyxis
eCommerce • Information Technology • Sharing Economy • Software
The Senior Financial Analyst will contribute to FP&A by preparing budgets, forecasts, and reports, while analyzing financial data and supporting investment strategies.
Top Skills:
LookerPythonSigmaSQLTableau
eCommerce • Information Technology • Sharing Economy • Software
The Social Media & Influencer Specialist at Taskrabbit will craft and execute social content strategies, manage organic channels, and collaborate on campaigns to enhance brand engagement and drive user interaction.
Top Skills:
Adobe PhotoshopCanvaCapcutDash Social
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
