Member of Computational Team, Bioinformatics Focus
About the role
We are seeking a bioinformatics scientist who combines strong scientific rigor with practical software engineering skills and thrives in a fast-paced startup environment where innovation, ownership, and cross-functional collaboration are essential.
Responsibilities
- Analyze large-scale multi-omics datasets, including cell-free RNA, DNA, and associated clinical data.
- Perform exploratory analyses, hypothesis generation, feature engineering, quality control and biomarker discovery.
- Design, validate, and optimize bioinformatics algorithms and statistical methods to address challenges in cancer detection and disease monitoring.
- Develop and maintain robust, reproducible, and scalable computational tools and workflows for research, translational, and validation studies.
- Apply software engineering best practices including version control, testing, code review, documentation, and CI/CD principles.
- Improve infrastructure supporting experiment tracking, data management, reproducibility, and quality assurance.
- Evaluate emerging technologies, methodologies, and data sources to improve platform performance and scientific capabilities.
- Contribute to study design, experimental planning and statistical analysis strategies.
- Support documentation, traceability, verification and validation activities required for regulated research and diagnostic environments.
- Work with academic, clinical, and industry partners on joint R&D initiatives, ensuring high-quality analyses and timely delivery of results.
- Translate biological insights into actionable computational strategies and communicate findings to scientific, clinical and business stakeholders.
Requirements
Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genomics, or a related quantitative field. 4+ years of relevant industry and/or academic experience in bioinformatics or computational biology. Strong background in statistical analysis, algorithm development, and biological data interpretation. Demonstrated experience analyzing multiomics data and working with common genomic data formats (FASTQ, BAM, BED, VCF). Proficiency in Python and hands-on experience with scientific computing libraries and data analysis frameworks. Experience developing reproducible computational pipelines and workflows. Strong understanding of software engineering best practices, including Git, testing, code review, documentation, and CI/CD.
Qualifications
Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genomics, or a related quantitative field. 4+ years of relevant industry and/or academic experience in bioinformatics or computational biology. Strong background in statistical analysis, algorithm development, and biological data interpretation. Demonstrated experience analyzing multiomics data and working with common genomic data formats (FASTQ, BAM, BED, VCF). Proficiency in Python and hands-on experience with scientific computing libraries and data analysis frameworks. Experience developing reproducible computational pipelines and workflows. Strong understanding of software engineering best practices, including Git, testing, code review, documentation, and CI/CD.
Skills
Strong background in statistical analysis, algorithm development, and biological data interpretation. Proficiency in Python and hands-on experience with scientific computing libraries and data analysis frameworks. Experience developing reproducible computational pipelines and workflows. Strong understanding of software engineering best practices, including Git, testing, code review, documentation, and CI/CD.
Benefits
Medical/dental/vision insurance with generous premium coverage for employees and dependents, and employer contributions toward HSA accounts. Accrued vacation time and sick days starting at 24 days a year. Hybrid team structure with remote work flexibility. New hire stock option grants. 401(k) with company match.
Pay
Salary range: $125,000-$155,000 for Member level, $150,000-$187,000 for Senior Member level.
Schedule
Hybrid team structure with remote work flexibility.