Staff Bioinformatics Scientist, Oncology Applications

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Develop, enhance, and sustain scalable bioinformatics pipelines for NGS data analysis, including WGS, WES, RNA-seq, and single-cell.

• Design and implement innovative algorithms for secondary and tertiary NGS analyses customized to Ultima’s sequencing technology.

• Lead and manage multiple projects concurrently, effectively prioritizing tasks in alignment with the evolving objectives of the company.

• Conduct benchmarking and validation studies.

• Analyze extensive genomic datasets and produce 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 findings into enhanced workflows and tools.

• Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for clients, partners, and conferences.

• Contribute to scientific publications, application notes, white papers, and other external communication materials as required.

• Engage in customer-facing discussions to clarify data analysis methodologies, performance metrics, and platform capabilities.

• Clearly document methods and effectively communicate findings to both technical and non-technical audiences.

• Stay updated with emerging technologies and advancements in genomics, computational biology, machine learning, and cancer biology.

• Perform other duties as assigned.

⛳️ Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related discipline; or MS with substantial industry experience.

• PhD with 5+ years or MS with 8+ years of practical experience in analyzing NGS data is essential.

• Strong programming expertise in Python and/or C++.

• Familiarity with common bioinformatics tools and somatic variant calling software such as BWA, minimap2, GATK, and samtools.

• Proficient in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL).

• Experience handling large datasets in cloud environments (AWS, GCP).

• Comprehensive understanding of genomics and cancer biology.

• Strong statistical and data analysis capabilities.

• Proven ability to manage multiple simultaneous priorities and deliver high-quality results under tight deadlines.

• Knowledge of machine learning techniques applied to genomics.

• Clear and confident communicator, comfortable in external-facing roles.

• Experience in regulated environments (CLIA, CAP) is advantageous.

• Ability to thrive in a fast-paced startup atmosphere with shifting priorities.

• Demonstrated scientific rigor and analytical reasoning.

• High degree of ownership, accountability, and a proactive approach.

• Collaborative mindset with the ability to work cross-functionally.

🏝️ Benefits

• Medical, dental, vision, life, and disability insurance.

• 401(k) retirement plan.

• Flexible spending and health savings accounts.

• Paid holidays.

• Paid time off.

• Employee assistance program.

• Additional company benefits.