5 дней назад
Senior / Principal Computational Biologist (Bioinformatics / Omics)
235 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior / Principal Computational Biologist (Bioinformatics / Omics) (biotechnology and AI): Designing and deploying large-scale omics pipelines, integrating multimodal biological data, and building ML-integrated frameworks for molecular discovery with an accent on genomics, transcriptomics, proteomics, and reproducible production-grade code. Focus on architecting analysis-ready data systems, modeling sparse and noisy biological data, and translating computational insights into predictive frameworks for molecular engineering and experimental campaigns.
Location: San Francisco Bay Area, United States; on-site
Salary: $235,000–$270,000 per year, plus equity
Company
is a frontier research lab developing brain-computer interfaces that connect biological systems with advanced AI.
What you will do
- Design, deploy, optimize, and maintain large-scale pipelines for genomics, transcriptomics, and proteomics data.
- Architect data-processing frameworks that transform raw omics data into clean, analysis-ready datasets.
- Integrate multimodal biological data with machine learning models to uncover mechanistic and predictive insights.
- Collaborate with wet-lab scientists to define optimization objectives and encode domain-specific priors and constraints.
- Prototype, benchmark, and validate modeling frameworks using internal and public datasets.
- Contribute to research roadmaps, novel algorithms, discovery workflows, and first-principles analysis for non-domain experts.
Requirements
- Deep experience analyzing bulk and single-cell omics data and building bioinformatics pipelines.
- Expertise in Python and/or R, with fluency in workflow management tools such as Nextflow or Dagster.
- Proficiency in Python, PyTorch, and JAX, with the ability to write clean, reproducible, production-grade code.
- Experience bridging computational biology and experimental science with sparse, noisy, or high-cost data.
- Collaborative, systems-level mindset.
- Ability to work on-site in the San Francisco Bay Area.
Nice to have
- Familiarity with neuroscience.
- Familiarity with transfer-learning paradigms.
Culture & Benefits
- Interdisciplinary collaboration across molecular engineering, synthetic biology, neuroscience, engineering, and data science.
- Opportunity to work on high-bandwidth brain-computer interface technologies and advanced biological systems.
- Equity included in the compensation package.
- Commitment to equal opportunity and reasonable accommodations.
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