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4 дня назад

Senior Scientist, Computational Biology

141 000 - 171 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Scientist, Computational Biology (Genome Editing and Multi-Omics): Developing computational methods and NGS analysis pipelines to interpret molecular data and support gene writing systems with an accent on genome editing safety, off-target discovery, and reproducible cloud-based workflows. Focus on designing experiments with biologists, analyzing multi-omics data, building scalable tools, and presenting findings to interdisciplinary teams.

Location: Hybrid in Somerville, Massachusetts, United States, with onsite work required 2–3 days per week. Candidates should be local to the Boston area or able to meet the onsite expectation.

Base salary: $141,000–$171,000 per year, plus annual incentive bonus and equity grants.

Company

hirify.global develops Gene Writing technologies designed to write therapeutic messages into the genome and advance genetic medicine.

What you will do

  • Design, run, analyze, and interpret experiments with biologists and platform teams.
  • Develop methods and tools for processing and interpreting molecular and multi-omics data.
  • Build, execute, and troubleshoot NGS analysis pipelines in cloud-based environments.
  • Analyze genome editing data, including off-target discovery, structural variation, translation effects, and NGS quality control.
  • Process data from research and preclinical projects to develop rigorous scientific hypotheses.
  • Present scientific findings to interdisciplinary audiences and senior leadership to support program decisions.

Requirements

  • PhD with 5+ years of academic or industry experience, MS with 10+ years, or BS with 12+ years of experience.
  • Broad knowledge of genome editing technologies and off-target discovery assays, including WGS, targeted sequencing, GUIDE-seq, and Digenome-seq.
  • Hands-on experience developing and troubleshooting NGS analysis pipelines in cloud-based environments.
  • Experience with AWS or equivalent cloud computing, version control, reproducible analysis, and software development best practices.
  • Experience with workflow tools such as Nextflow, Dagster, or equivalent systems.
  • Strong computational biology background and experience collaborating with experimental scientists and data or software engineers.

Culture & Benefits

  • Collaborative, multidisciplinary environment focused on scientific excellence and integrity.
  • Medical, vision, and dental coverage.
  • Group life and disability insurance.
  • 401(k) plan with company contribution.
  • Tuition reimbursement and additional employee benefits.

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