Bio-Rad's Clinical Diagnostics Group is building the computational foundation for the next generation of molecular diagnostics, bringing together data across multiple assay modalities to support biomarker discovery and diagnostic development. This role owns the pipeline development and machine learning method design behind that effort. It sits within a team covering statistics, computational biology, data science, and software engineering, and is the primary technical owner for bioinformatics infrastructure and ML-driven discovery work. The role will be filled at either the Scientist or Senior Scientist level depending on the experience of the candidate, with the Senior level carrying broader ownership of technical direction and mentorship within the team.

How You’ll Make an Impact:

• Design and build reproducible, containerized analysis pipelines for high-dimensional biological data on cloud infrastructure, and establish the reproducibility and CI/CD standards the team builds against.
• Develop machine learning methods for biomarker discovery, including supervised, unsupervised, and deep learning approaches applied to biological data.
• Lead multi-omic integration work, aligning features across assay modalities into unified patient-level models.
• Extend internal assay design tooling to support additional omic modalities and new application areas.
• Contribute to the architecture of an in-house biomarker discovery capability, from candidate generation through feasibility assessment, in partnership with assay development, R&D, and product teams.

What You Bring:

• Education: M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related technical field.
• Work Experience: 3+ years of hands-on omics data analysis (RNA-seq, ATAC-seq, proteomics, and/or ddPCR) for the Scientist level, or 5+ years including ownership of production analysis workflows and technical direction for the Senior level.
• Pipeline and Infrastructure: Demonstrated experience building production workflows in Nextflow or Snakemake with Docker or Singularity containerization, deployed on AWS (S3, EC2, Batch) or GCP (Dataproc, Cloud Storage).
• Machine Learning and Integration: Supervised and unsupervised methods plus practical deep learning experience on biological data, with exposure to multiomics integration and cross-modal feature alignment.
• Software Development: Fluency in Python (PyTorch, scikit-learn, pandas) and R (Bioconductor, Seurat, ggplot2), with strong engineering practice in version control, code review, testing, and documentation.

Location: This position must be based in Pleasanton, CA or Irvine, CA and requires the employee to be located within commuting distance of the office.

Total Rewards Package: At Bio-Rad, were empowered by our purpose and recognize that our employees are as well. Thats why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employees work and life cycle.

Benefits: Were proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERGs), and more!

Compensation: The estimated base salary range for this position is $137,600 to $189,200 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.