Bioinformatics Engineer

Responsibilities Process and QC high‑dimensional datasets to expand internal databases (e.g., RNA‑seq, scRNA‑seq, spatial transcriptomics, proteomics, etc.). Maintain and improve internal pipelines for data processing, including RNA‑seq and WES. Develop standardized internal pipelines for processing of additional data types such as scRNA‑seq and spatial transcriptomics. Work closely with Bioinformatics Scientists on improving internal processes and databases to enable efficient data extraction and transformation for rapid bioinformatics analysis and visualization. Collaborate with constituencies in IT and Scientific Computing to improve on‑prem and cloud‑based infrastructure to support bioinformatics functions. Serve as the technical resource for optimizing pipelines, benchmarking algorithms, developing reproducible frameworks, and updating SOP documentation & internal knowledge base. Qualifications Master’s in Bioinformatics, Computational Biology, Data Science, Computer Science, or similar field, with 5+ years of experience. Strong understanding of data structures and transformations to enable efficient modeling. Proven coding expertise in Unix and SQL for systems and database query and development. Proficiency in R and/or Python for bioinformatics pipelines and analyses. Experience with a workflow language such as Snakemake or Nextflow. Adept at building reproducible computing environments using tools such as Docker, Singularity/Apptainer, uv, or conda. Ability to work with on‑prem and cloud‑based systems including HPC clusters (e.g., SLURM) and AWS. Fluent with version control using Git/GitHub and collaborating with other bioinformatics scientists/engineers. Comfortable working in a cross‑functional environment and handling several concurrent fast‑paced projects. Preferred Experience Understanding of high‑dimensional molecular data types, such as RNA‑seq, scRNA‑seq, etc. Familiarity with best coding practices such as unit testing, CI/CD, reproducible code, and modular pipeline design. Experience developing pipelines and general frameworks for data analysis. Ability to write concise technical documentation. Familiarity with LLM‑based tools, including LLM‑assisted and agentic programming. Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary teams and bring a creative, problem‑solving mindset to challenging work. The successful applicant will help improve and harmonize bioinformatics processes, as well as take lead in augmenting a growing internal database of multimodal, high‑dimensional datasets to enable critical bioinformatics functions. They will use their expertise to build infrastructure, develop pipelines and frameworks, optimize algorithms, and process harmonized high‑dimensional molecular datasets. The individual may also support cross‑departmental infrastructure developments to enable effective inter‑departmental information exchange and develop LLM systems (e.g., literature review agents, retrieval‑augmented knowledge systems) to enable bioinformatics and drug development discoveries. This role could be based at our Hayward, CA location or can be remote. Arcus Biosciences is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Arcus is committed to the principle of equal employment opportunity for all employees and does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other legally protected status. EOE/AA/Vets #J-18808-Ljbffr Arcus Biosciences