opengreenhousea16z
Staff Bioinformatics Scientist, Oncology Applications
Ultima Genomics
LocationRemote US
WorkplaceFull
Last observed2026-06-23 22:50:24.266992
Job ida16z-ultima-genomics:greenhouse:5980737004
Rapidly Growing Life Sciences Technology Company Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. 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 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 wo
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