Bioinformatics Scientist
| Company | Guardant Health |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Genomics or related fields.
- Established scientific expertise, demonstrated through peer-reviewed publications and/or contributions to successful product development in the biotech industry.
- In-depth knowledge of modern genomic tools and pipelines for processing and analyzing primary data, including somatic and structural variant detection.
- Extensive experience in next-generation sequencing (NGS) data analysis, including DNA, RNA, or epigenetic analysis.
- Proficiency in scripting languages (e.g., Python, R) and Linux shell environment, with a strong foundation in data analysis and interpretation.
- Strong written and verbal communication skills, with a proven ability to effectively convey complex scientific concepts and present clearly and effectively to stakeholders across organizations.
- Ability to thrive in a fast-paced startup environment, delivering high-quality results under tight timelines.
- Strong analytical and organizational skills, with the ability to synthesize complex concepts, drive projects forward, and maintain attention to detail.
- Collaborative team player, adept at working cross-functionally and across institutions to achieve shared goals.
Responsibilities
- Work with large, complex data sets.
- Tend to non-routine analysis problems, applying deep epigenetic knowledge to conduct end-to-end analysis of epigenetic cell-free nucleic acid NGS data.
- Develop or apply statistical methods and procedures to evaluate and validate Guardant Health technologies.
- Systematically leverages external innovation ideas and expertise to address technology gaps and advance the Guardant Health’s business.
- Provide analytical support on individual samples and research activities.
- Deliver analytical support for clinical operations in compliance with CLIA and CAP regulatory standards.
- Analyze genomic data from clinical patients and external annotation sources to improve the accuracy and quality of reporting.
- Develop scripts for research and development activities, and leverage cutting edge AI methods to continuously improve efficiency.
- Communicate research results through presentations and project reports as well as scientific publications.
Preferred Qualifications
- Experience in developing novel or custom algorithms for NGS data interpretation.
- Direct experience working with epigenomic data.