обновлено 2 дня назад
Associate Director of Bioinformatics Innovation (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
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 premises when applicable
Company
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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