Scientist, Bioinformatics
$135,000–$186,500 year
On-site · Palo Alto, California, United States
Job Summary
Bioinformatics Scientist to join Arc Institute’s Computational Technology Center. Develop, implement, and apply computational approaches to high-throughput sequencing and multi-omics data, and help translate data into actionable biological insights. Build robust, scalable bioinformatics pipelines used across diverse programs; work closely with experimentalists, technologists, and other computational scientists to analyze sequencing and multi-omics data (including single-cell RNA-seq, perturb-seq, spatial transcriptomics) and support production-scale research. Contribute to reusable computational capabilities, ensure pipeline reliability, and drive methodological advances across disease-relevant projects such as cancer, neurodegeneration, and immune dysfunction. Emphasis on collaboration, software engineering practices, documentation, versioned releases, and cross-team workflows; opportunities for ownership and career growth in a mission-driven institute. Responsibilities include implementing and maintaining analysis pipelines, running production pipelines, analyzing large sequencing datasets, communicating results to diverse audiences, troubleshooting analyses, managing code in GitHub, and adapting workflows across Technology Centers.
Required Qualifications
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field
- 1–2 years of post-Ph.D. experience in bioinformatics, computational biology, genomics, or related analysis of high-throughput sequencing datasets
- Hands-on experience analyzing single-cell omics data (scRNA-seq, scATAC-seq, Perturb-seq) including end-to-end workflows
- Experience leveraging AI-assisted development tools (e.g., Claude Code, GitHub Copilot, OpenAI Codex) to accelerate software development workflows
- Demonstrated ability to collaborate with wet-lab scientists and translate biological questions into computational analyses
- Strong Python, Git/GitHub, and Linux skills
- Strong statistical, mathematical, and data science skills
Desired Qualifications
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field
- 1-2 years of post-Ph.D. experience in bioinformatics/computational biology
- Hands-on experience with single-cell omics data (scRNA-seq, scATAC-seq, Perturb-seq) and end-to-end workflows
- Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, OpenAI Codex) and applying AI-assisted data analysis techniques
- Strong collaboration skills with wet-lab scientists and cross-functional teams
- Proficiency in Python, Git/GitHub, Linux, and strong statistical/data science skills
- Experience with cloud platforms (GCP) for production-scale pipelines
- Experience contributing to or maintaining open-source bioinformatics software
- Familiarity with CRISPR screen analysis, Perturb-seq design, and disease-relevant biology (neurodegeneration, cancer, immunology)
- Experience with large imaging datasets or image analysis pipelines is a plus
- Estimated base salary range is 135,000–186,500 USD; eligible for discretionary bonus
- Ability to manage multiple concurrent projects across Technology Centers
- Excellent software engineering practices and production-scale pipeline development
- Ability to translate biological questions into computational analyses and communicate results to non-computational audiences
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