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Associate Director of Bioinformatics Innovation (AI)

Формат работы
remote (только USA)/hybrid/onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Associate Director of Bioinformatics Innovation (AI) (Bioinformatics/Genomics/AI): Driving the innovation roadmap and developing next-generation bioinformatics technologies for genomics, precision medicine, molecular diagnostics, and AI-driven healthcare with an accent on computational biology, machine learning, and scalable software platforms. Focus on translating emerging research into production-grade pipelines, prototypes, and commercially viable clinical solutions while leading teams and cross-functional technology transfer.

Location: United States; remote or hybrid options are available, with onsite work required on hirify.global premises when applicable

Company

hirify.global develops genomics, molecular diagnostics, precision medicine, and AI-driven healthcare solutions.

What you will do

  • Define and execute the bioinformatics innovation roadmap.
  • Identify and evaluate emerging technologies in bioinformatics, multi-omics, AI, and digital health.
  • Translate advanced computational research into prototypes and commercially viable products.
  • Partner with R&D, Bioinformatics R&D, Software Engineering, and Business Development teams.
  • Support product roadmap planning, technology transfer, external technology evaluation, partnerships, and licensing opportunities.
  • Lead innovation initiatives and foster scientific excellence, collaboration, and continuous learning.

Requirements

  • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or a related field.
  • At least 8 years of experience in bioinformatics, computational biology, or genomics.
  • At least 3 years of experience managing and leading a team, including direct people management.
  • Experience with Python, R, C++, or Java and with production-grade bioinformatics pipelines and software platforms.
  • Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology.
  • Strong communication, presentation, innovation, and cross-functional collaboration skills.

Nice to have

  • Understanding of machine learning and AI applications in life sciences.
  • Experience with AWS, Azure, or Google Cloud.
  • Experience with large-scale genomic databases and real-world clinical data.
  • Patents, publications, or successful product launches.

Culture & Benefits

  • Work is available remotely, in a hybrid arrangement, or onsite as applicable.
  • Fast-paced environment with multiple competing priorities.
  • Emphasis on innovation, collaboration, scientific excellence, and continuous learning.
  • Inclusive and equal-opportunity workplace.

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