Science and Research Biologist
Valius Sciences
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. 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.
Computational biologist role
We're hiring a computational biologist to analyze our patients' omics data. 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.
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.
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.
Develop and maintain analytical pipelines. Partner with the scientific and clinical teams. Continuously evaluate and incorporate emerging methods in omics and computational biology to keep Valius's science best-in-class.
Strong programming skills in Python and/or R, with experience building reproducible analytical workflows (i.e., 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
Interest in working for a small, early-stage startup
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
Competitive salary and equity compensation
Generous refresh grants
Comprehensive benefits (health, dental, vision, 401(k))
$153k - $210.1k
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