BioSpace hiring Bioinformatics Scientist in Hayward, California, United States

Locations: Hayward, California | Remote, United States


Scientists at Arcus work in a highly embedded and highly collaborative model with colleagues across the organization. We seek a highly motivated Bioinformatics Scientist to work closely with translational and biology research scientists in the development of novel therapeutics and biomarkers in the immuno-oncology area.


Candidates will be expected to work effectively on highly technical interdisciplinary teams and be driven to pursue creative solutions to challenging problems. The successful applicant will be expected to take the lead in providing Bioinformatics expertise to cross functional project teams working on drug discovery and biomarker development. Position title would be commensurate with years of relevant experience.


  • PhD or PhD plus postdoc in Bioinformatics, Biostatistics, Computational Biology, Computer Science or similar field, ideally in the field of cancer/immunology and/or immuno-oncology.
  • Expertise working with gene expression data such as microarray and/or RNAseq in human or mouse datasets.
  • Proven coding expertise in languages such as R or Python for bioinformatics analyses.
  • Strong understanding of oncology and/or immunology concepts and applications.
  • Demonstrated ability to present complex results, both verbally and in writing, to bioinformatics and non-bioinformatics audiences of all levels is critical.
  • Comfortable working in a matrix environment and handling several concurrent fast paced projects.
  • Expertise working with large scale genomic data (e.g. TCRseq/BCRseq, single cell assays, flow cytometry, ATACseq, CHIPseq) or proteomics/immunohistochemistry data would be a significant plus.
  • Experience with drug treatment or perturbation datasets such as siRNA/CRISPR library screens would be preferred.
  • Prior experience with neoantigen prediction and ctDNA analysis algorithms would be a distinct advantage.
  • Experience with RNAseq and exomeSeq pipelines and prior experience in Amazon Web Services (AWS) or high performance computing environment would be preferable.
  • Experience with machine learning and deep learning algorithms would be a significant plus.

Arcus Biosciences is an equal opportunity employer.

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