Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности и заметное влияние на разработку лекарств, но для неё требуется редкое сочетание глубокой экспертизы в токсикологии и вычислительной биологии.
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Текст:
Hirify AI/Оригинал
TL;DR
Distinguished Scientist, Systems Toxicology (Multi-Omics/Systems Biology): Providing scientific leadership for omics-based safety assessment, integrating complex biological datasets, and developing analytical workflows with an accent on transcriptomics, mechanistic toxicology, and translational interpretation. Focus on generating testable toxicity hypotheses, connecting molecular mechanisms to human safety, and guiding cross-functional drug development decisions.
Location: Cambridge, MA or Morristown, NJ; hybrid position; US and Puerto Rico residents only
Salary: $178,500–$257,833.33 per year
Company
hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines through immunoscience, data, and digital research.
What you will do
Provide scientific direction for systems toxicology and omics-based safety assessment.
Lead integrated analyses combining transcriptomics with proteomics, metabolomics, imaging, pathology, and functional assays.
Generate and prioritize mechanistic hypotheses using pathway analysis, network biology, molecular signatures, and biological knowledge.
Establish reproducible, scalable workflows for data processing, quality assessment, statistical analysis, visualization, and reporting.
Lead cross-functional investigations across Preclinical Safety and connect molecular mechanisms to safety decisions.
Mentor scientists and communicate integrated findings to project toxicologists, scientific advisors, project teams, and senior leaders.
Requirements
MS plus 8 years of experience or PhD plus 5 years of experience.
Expertise in systems biology, computational biology, bioinformatics, or a related discipline, with extensive research experience and independent leadership of complex investigations.
Deep hands-on expertise in transcriptomics and experience integrating multiple molecular or phenotypic data types.
Strong proficiency in R and/or Python and relevant bioinformatics tools.
Expertise in pathway analysis, network analysis, molecular signatures, and hypothesis generation.
Substantial experience applying systems approaches to toxicology, safety assessment, or related mechanistic research in pharmaceutical or biotechnology settings.
Understanding of preclinical safety translation to human safety and the ability to connect digital toxicology with broader R&D strategy.
Ability to communicate complex analyses clearly across experimental, computational, project, and senior leadership audiences.
Culture & Benefits
Supportive, future-focused scientific environment with opportunities for promotion or lateral career growth.
Health and wellbeing benefits, including healthcare, prevention and wellness programs, and at least 14 weeks of gender-neutral parental leave.
Employee rewards package and company benefit programs.
Work at the forefront of drug discovery using AI, data, and digital platforms.
Equal opportunity employment in a culturally inclusive workforce.
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