2 часа назад
Lead Bioinformatics Scientist (NGS)
160 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Bioinformatics Scientist (NGS): Building scalable NGS analysis pipelines and computational infrastructure for gene editing and protein engineering workflows with an accent on sequencing data analysis, cloud-based systems, and biological insight generation. Focus on architecting reproducible workflows, curating data for machine learning models, and optimizing design-build-test-learn cycles with experimental and ML teams.
Location: Emeryville, California, United States; hybrid with 2–3 days on-site
Salary: $160,000–$230,000 USD annually
Company
is an AI lab building foundation models for biological molecules, with applications in medicine, agriculture, gene editing, and protein design.
What you will do
- Lead the design and implementation of scalable NGS analysis pipelines for gene editing and protein engineering workflows.
- Architect bioinformatics infrastructure and manage cloud-based compute environments and data systems for large-scale sequencing datasets.
- Develop visualizations and reports that communicate sequencing results and biological insights.
- Partner with biology teams to analyze results, troubleshoot issues, and optimize experimental design.
- Collaborate with machine learning teams to curate data for model training.
- Establish code review, testing, and CI/CD best practices while mentoring junior scientists.
Requirements
- PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- 5+ years of experience analyzing NGS datasets, including amplicon sequencing, high-throughput editing, or screening experiments.
- Strong Python programming skills, including pandas, NumPy, and Biopython.
- Experience with Nextflow or Snakemake, AWS or GCP, Docker, Kubernetes, Linux, and Git-based version control.
- Ability to transform complex sequencing data into actionable biological insights.
- Ongoing United States work authorization is required; employer sponsorship is not available now or in the future.
Nice to have
- Experience with CRISPR, base editing, or prime editing.
- Familiarity with SQL, biological data modeling, LIMS platforms such as Benchling, and lab data integration.
- Experience developing production-quality scientific software or open-source bioinformatics tools.
Culture & Benefits
- Opportunity to contribute to protein design and computational biology at the intersection of AI and biology.
- Competitive compensation with equity participation.
- 401(k) with a strong employer match.
- Health, dental, and vision insurance.
- Generous PTO, work-life balance support, and professional development opportunities.
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