Valius Sciences
Jobs at Valius Sciences
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Recently posted jobs
Artificial Intelligence • Healthtech • Analytics • Biotech
Lead design, accreditation, and daily operation of a CLIA/CAP clinical laboratory. Build lab infrastructure, validate complex molecular assays (including 10x single-cell and spatial RNA-seq), establish QMS/SOPs, obtain CAP/CLIA/NY approvals, recruit and lead lab staff, and integrate lab outputs with bioinformatics for patient-facing reporting.
Artificial Intelligence • Healthtech • Analytics • Biotech
Analyze multi-modal patient omics (scRNA-seq, spatial, long-read), produce patient-facing actionable reports, build reproducible analytical pipelines, collaborate with scientific and clinical teams, and incorporate new omics methods to scale diagnostic programs.
Artificial Intelligence • Healthtech • Analytics • Biotech
Lead the engineering org, define technical strategy and roadmap, own architecture, cloud and data pipelines, drive product delivery, hire and mentor engineers, collaborate with computational biology, remain hands-on in code and architecture, and support company-wide initiatives.
Artificial Intelligence • Healthtech • Analytics • Biotech
Lead patient-facing translational interpretation of multi-omic tumor profiles to prioritize standard-of-care, trials, and other therapeutic options. Synthesize clinical trial and biomarker evidence, communicate findings to patients and care teams, partner with computational biology, coach team members, draft internal evidence summaries, and inform R&D and product development.
Artificial Intelligence • Healthtech • Analytics • Biotech
Build full-stack applications and backend infrastructure to expose molecular and bioinformatics insights. Develop AI-powered front-end interfaces, maintain data ingestion and processing pipelines, partner with computational biologists, and own end-to-end feature delivery with high engineering standards.
Artificial Intelligence • Healthtech • Analytics • Biotech
Translate complex molecular profiles into evidence-based treatment strategies for oncology patients. Prioritize SOC, trials, and access options; interpret clinical trial evidence; collaborate with computational biologists; produce evidence summaries, playbooks, and communicate recommendations to patients and clinicians.



