обновлено 9 дней назад
Senior Bioinformatics Scientist (Cancer Genomics)
130 700 - 163 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Bioinformatics Scientist (Cancer Genomics): Building and evaluating machine learning models for tissue-free, methylation-based cancer detection in the minimal residual disease setting with an accent on algorithm development, genomics, sequencing data processing, and applied machine learning. Focus on developing end-to-end research analyses, integrating wet-lab assay design with computational pipelines, and maintaining quality across high-volume sequencing data.
Location: San Carlos, California, United States
Salary: $130,700–$163,400 USD annually, plus eligible bonus, equity awards, and benefits.
Company
develops cell-free DNA testing and personalized genetic diagnostics for oncology, women’s health, and organ health.
What you will do
- Develop, train, and evaluate machine learning models for cancer detection in the minimal residual disease setting.
- Lead research analyses from ideation through implementation, troubleshooting, feature development, and performance evaluation.
- Connect wet-lab experimental design with computational analysis as assay requirements evolve.
- Maintain rigorous quality control across high-volume sequencing data from multiple cohorts, vendors, and clinical protocols.
- Communicate findings and model performance to technical and cross-functional stakeholders.
- Help establish standards for code quality and reproducibility.
Requirements
- Ph.D. in bioinformatics, computer science, engineering, biochemistry, or a related field with a focus on cancer epigenomics/genomics and 0–3 years of professional experience, or a master’s degree with 4–6 years of experience.
- Strong understanding of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant calling workflows.
- Experience with algorithm development, statistical methods, and analysis of biological data.
- Experience developing core machine learning models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks.
- Strong programming skills with Python, Linux command-line tools, shell scripting, NumPy, Matplotlib, and Pandas.
- Ability to collaborate with computational and experimental scientists and communicate results to technical and non-technical audiences.
Nice to have
- Familiarity with TCGA, COSMIC, or OncoKB databases.
- Interest in teaching and learning new computational methods and biology.
Culture & Benefits
- Collaborative, cross-functional environment with statisticians, geneticists, physicians, laboratory scientists, and software engineers.
- Medical, dental, vision, life, and disability insurance for eligible employees and dependents.
- 401(k) plan with company match, paid time off, and company holidays.
- Annual performance incentive bonus and long-term equity awards.
- Wellness, work-life, commuter, fertility care, pregnancy, and baby bonding benefits.
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