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2 часа назад

Lead Bioinformatics Scientist (NGS)

160 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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