Bioinformatics Associate III

Tap Growth ai

South San Francisco, CA

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JOB DETAILS
LOCATION
South San Francisco, CA
POSTED
30+ days ago

We're Hiring: Bioinformatics Associate III!

We are seeking a detail-oriented Bioinformatics Associate III to join our dynamic team and contribute to cutting-edge biological data analysis. The ideal candidate will have experience in computational biology, data analysis, and bioinformatics tools to support research initiatives and drive scientific discoveries.

Location: South San Francisco, United States
⏰ Work Mode: Work From Office
Role: Bioinformatics Associate III
Pay Scale: $95, 896 – $119.88 (Dependent on Experience)

What You'll Do:
· 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.

What We're Looking For:
✅ 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).
✅ Excellent problem-solving abilities and a strong analytical mindset.


Ready to advance scientific research? Apply now and let's innovate together!

About the Company

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Tap Growth ai