Computational Biologist

Valius Sciences•San Francisco, CA

3d•Onsite

About The Position

Valius is building the next generation of precision oncology, helping cancer patients and their physicians make more informed treatment decisions through comprehensive molecular testing and rigorous scientific analysis. In our first nine months, we’ve worked with close to 50 patients, identifying plausible therapeutic targets in the vast majority of cases. We’ve just raised a $10M seed round, led by 8VC and Basis Set Ventures, and are looking for folks passionate about changing cancer care to join our growing team. This role sits at the intersection of cutting-edge science and real-world clinical impact: you'll apply state-of-the-art omics techniques to complex patient datasets to deliver rigorous, actionable insights. You'll have significant ownership from day one, including direct exposure to, and regular meetings with, the founding team. As we grow, you’ll have the potential to develop into a broader scientific leadership role.

Requirements

Deep fluency in omics analysis, including experience with techniques such as scRNAseq, spatial transcriptomics, or long-read sequencing
Strong programming skills in Python and/or R, with experience building reproducible analytical workflows (i.e., Snakemake, Nextflow, Git)
Proven ability to move quickly and deliver rigorous results in parallel
Clear communicator who can translate complex findings for both scientific and non-scientific audiences
High agency and ownership mindset with the ability to see analyses through to actionable conclusions
Excited to work in a fast-paced startup environment where flexibility and initiative are valued
Commitment to our patient-focused mission
Interest in working for a small, early-stage startup

Nice To Haves

Experience in oncology or translational research
Familiarity with cloud-based computing environments and large-scale data infrastructure
Interest in growing into a scientific leadership role as the company scales

Responsibilities

Analyze multi-modal omics data. Apply cutting-edge techniques, including scRNAseq, spatial transcriptomics, and long-read sequencing, to derive meaningful insights from complex patient datasets.
Deliver patient-facing results. Translate computational findings into clear, rigorous outputs that directly inform treatment decisions for patients and their care teams.
Develop and maintain analytical pipelines. Build robust, reproducible workflows that scale with our growing patient programs.
Partner with the scientific and clinical teams. Collaborate closely with colleagues across disciplines to ensure analyses are well-designed, well-interpreted, and actionable.
Stay at the frontier. Continuously evaluate and incorporate emerging methods in omics and computational biology to keep Valius's science best-in-class.
Contribute across the company as needed. In a small team, you may pitch in on cross-functional initiatives as we scale.