Senior Bioinformatics Scientist

Ultima Genomics

3h•Remote

About The Position

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 Senior Bioinformatics Scientist to join our Oncology Applications team! As a Senior 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.

Requirements

PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
PhD with 2+ years or MS with 5+ years of hands-on experience analyzing NGS data is 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
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

Nice To Haves

Experience in regulated environments (CLIA, CAP) is a plus

Responsibilities

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