Confidential Careers is seeking a Senior Staff Bioinformatics Scientist to join their team in California, United States. The role involves leading the development and improvement of statistical and algorithmic methods for NGS-based variant detection and minimal residual disease (MRD) calling.
About the Role
As a Senior Staff Bioinformatics Scientist, you will be responsible for improving somatic variant-calling algorithms, developing and validating MRD-calling algorithms, designing benchmarking methodologies, leading troubleshooting efforts, implementing algorithms in production-quality code, and collaborating with assay development teams. You will also document analytical methods and communicate findings to stakeholders.
About You
Required:
Ph.D. in Statistics, Biostatistics, Computer Science, Bioinformatics, Computational Biology, Applied Mathematics, or a related field, with relevant postdoctoral or industry experience.
Strong foundation in statistical inference and modeling, including uncertainty quantification and decision thresholding.
Prior experience working with genomics data, including WGS or large-scale NGS datasets.
Demonstrated software implementation skills in Python and/or a performance-oriented language (e.g., C++, Rust, Java).
Familiarity with standard genomics data formats and tooling (e.g., FASTQ, BAM/CRAM, VCF).
Experience working in regulated product development environments (e.g., FDA, IVD).
Excellent communication and collaboration skills.
Preferred:
Hands-on experience with cfDNA analysis and/or MRD detection.
Machine learning experience, particularly in settings involving class imbalance, model evaluation, calibration, and decision optimization.
Experience collaborating closely with assay development teams on experimental design and data analysis planning.
Confidential Careers
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Company Size: 1-10 employeesStaffing and Recruiting