Staff Bioinformatics Scientist
About The Position
Our team specializes in developing a fast and accurate platform called DRAGEN for the secondary analysis of NGS genomic data. The platform covers a wide range of pipelines spanning germline and somatic analysis (WGS and targeted; tumor/normal and tumor-only), DNA and RNA workflows, and variant classes including small variants, CNVs, and structural variants. We are looking for a highly driven and talented Staff Bioinformatics Scientist to join our methods development team to work on secondary analysis algorithms. The ideal candidate will have a strong background in computer science, algorithms, statistics, or digital signal processing in addition to expertise in genomics and next generation sequencing. The candidate should be a proven team player and will contribute to the production software codebase. This role will focus on software development for structural variant detection, pangenome references, graph-based algorithms, and NGS assembly methods.
Requirements
- Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of experience; or equivalent experience.
- Experience developing next generation sequencing data analysis methods.
- Extensive experience in an object-oriented programming language; C++ preferred.
- Strong background in computer science algorithms relevant to bioinformatics.
- Ability to efficiently leverage AI-assisted tools in development to rapidly iterate and prototype ideas.
- Strong communication skills and ability to describe complex analyses to audiences with diverse backgrounds.
- Ability to contribute independently and collaboratively, take ownership of assigned tasks, and excel in a fast-paced environment.
- Experience using version control systems such as Git.
- Knowledge or background in NGS-based methods for assembly, structural variant detection, and cancer-related applications would be especially well suited to this role.
- Willingness to learn and grow with an exceptionally talented group of scientists and engineers!
Nice To Haves
- Experience with multi-threading and memory management techniques.
- Knowledge and experience with probability and statistics or machine learning.
- Knowledge and experience with a wide range of bioinformatics tools.
- Familiarity with professional software development practices (testing, CI/CD, debugging, source control).
- Demonstrated success in collaborating in a team environment and delivering high-quality software products using agile development methodologies.
Responsibilities
- Design, prototype, and implement innovative computational or statistical algorithms to extract meaningful biological signal from sequencing assays.
- Implement algorithms in production-grade C/C++ software.
- Collaborate deeply with interdisciplinary teams (QC/QA test teams, FPGA teams, SW teams, clinical genomics teams).
- Engage with external scientific teams to build product credibility and define emerging requirements.
- Clearly communicate technical methods and findings across internal teams with diverse expertise.
Benefits
- access to genomics sequencing
- family planning
- health/dental/vision
- retirement benefits
- paid time off
- one of our variable cash programs (bonus or commission)
- equity as part of the compensation package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
