Staff Bioinformatics Scientist, Oncology Applications

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 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 At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000 and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. #LI-Remote Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. See also Ultima Genomics’ EEO Policy and Know Your Rights . If you have a disability or special need that requires accommodation, please let us know by contacting [email protected] .

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