Staff Bioinformatics Scientist, Oncology Applications

Ultima Genomics

Staff Bioinformatics Scientist developing and applying computational methods for NGS data analysis. Collaborating with cross-functional teams to drive insights from genomic datasets in oncology applications.

Posted 6/24/2026full-timeRemote • California, Massachusetts, Washington • 🇺🇸 United StatesLead💰 $135,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformLinuxPythonUnix

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required
Strong programming skills in Python and/or C++
Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools
Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL)
Experience working with large datasets in cloud environments (AWS, GCP)
Solid understanding of genomics and cancer biology
Strong statistical and data analysis skills
Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines
Knowledge of machine learning approaches applied to genomics
Clear and confident communicator, comfortable in external-facing settings
Experience in regulated environments (CLIA, CAP) is a plus
Thrive in a fast-paced, startup environment with evolving priorities
Demonstrated scientific rigor and analytical thinking
High ownership, accountability, and bias toward action
Collaborative mindset with cross-functional agility

Benefits

Comp & perks

medical, dental, vision, life, and disability insurance
401(k) retirement plan
flexible spending & health savings account
paid holidays
paid time off
employee assistance program
other company benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

bioinformatics pipelinesNGS data analysisWGSWESRNA-seqPythonC++BWAminimap2GATK

Soft Skills

project managementcommunicationanalytical thinkingcollaborationprioritizationscientific rigoraccountabilityadaptabilitycustomer-facing communicationcross-functional agility

Certifications

PhD in BioinformaticsPhD in Computational BiologyPhD in GenomicsPhD in Computer ScienceMS in BioinformaticsMS in Computational BiologyMS in GenomicsMS in Computer Science