Staff Bioinformatics Scientist, Oncology Applications
About the role
Staff Bioinformatics Scientist, Oncology Applications
We are looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!
As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima's platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.
This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.
This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.
How You'll Contribute
- Develop, optimize, and maintain scalable bioinformatics pipelines for NGS data analysis such as WGS, WES, RNA-seq, and single-cell
- Design and implement novel algorithms for secondary and tertiary NGS analysis tailored to Ultima's sequencing chemistry
- Lead and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
- Perform benchmarking and validation studies
- Analyze large-scale genomic datasets and generate actionable insights for internal R&D, product development, and external collaborators
- Collaborate closely with wet-lab scientists, software engineers, and product teams to translate experimental results into improved workflows and tools
- Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for customers, partners, and conferences
- Contribute to scientific publications, application notes, white papers, and other external communication materials as needed
- Participate in customer-facing discussions to explain data analysis approaches, performance metrics, and platform capabilities
- Document methods clearly and communicate findings effectively to both technical and non-technical audiences
- Stay current with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology
- Other duties as assigned
Qualifications, Skills, Knowledge & Abilities
- PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
- PhD with 5+ years or MS