Computational Biologist

Valius Sciences•San Francisco, CA

3d•Hybrid

About The Position

At Valius, we believe that the future of cancer care will be defined by “maximalist” diagnostics: deep, comprehensive assessments of DNA, RNA, and protein designed to give patients and their care teams the best possible understanding of how their tumor works and what its vulnerabilities are. We’re building the diagnostics and bioinformatics company to power this future, starting by applying this approach to patients with challenging cancers. In our first year, we worked with over 75 of these patients and, in many cases, identified plausible therapeutic targets which had not been discovered previously. This coming year, we’re on track to scale our patient volume significantly, all while bringing new diagnostic modalities (e.g., single-cell transcriptomics) and analytical approaches into clinical care for the very first time. We’ve just raised a $13.5M seed round, led by 8VC and Basis Set Ventures, and are looking for people 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. This role will be expected to work out of our beautiful San Francisco office four days a week.

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.