9 дней назад
Assoc. Director - Human Data & Computational Biology
186 278 - 252 023$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Assoc. Director - Human Data & Computational Biology (human genetics, multi-omics, AI): Establishing and leading a human data and computational biology capability for rare disease research, integrating genomic, transcriptomic, proteomic, imaging, clinical, and patient-derived data with an accent on target discovery and validation. Focus on developing scalable analytical workflows, translating computational findings into biological insights, and applying emerging AI-enabled approaches to therapeutic opportunity prioritization.
Location: Thousand Oaks, California, United States
Salary: $186,278.35–$252,023.65 per year
Company
is a biotechnology company developing innovative medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.
What you will do
- Establish and lead the Human Data & Computational Biology capability within the Rare Disease Research Team.
- Develop computational strategies for target discovery, validation, and prioritization.
- Analyze genomic, transcriptomic, proteomic, imaging, clinical, and patient-derived datasets.
- Integrate human genetics and computational findings into early-stage discovery programs and therapeutic hypotheses.
- Build scalable analytical workflows and introduce emerging computational and AI-enabled approaches.
- Present scientific recommendations and contribute to external collaborations, business development, and future team development.
Requirements
- Doctorate degree and 3 years of relevant experience, or a master's degree and 7 years, bachelor's degree and 9 years, associate's degree and 12 years, or high school diploma/GED and 14 years of analytics experience.
- Experience applying computational approaches to biological and translational research questions.
- Expertise in human genetics, genomics, computational biology, or multi-omics analysis.
- Ability to interpret complex biological datasets and translate computational findings into actionable scientific recommendations.
- Experience collaborating with experimental scientists across disease areas and supporting target identification, validation, and prioritization.
- Strong scientific communication, mentoring, strategic influence, and collaboration skills.
Nice to have
- Familiarity with machine learning, AI-enabled discovery approaches, knowledge graphs, or advanced analytical methods.
- Experience mentoring scientists and helping build high-performing computational biology teams.
Culture & Benefits
- Collaborative, innovative, and science-based work environment.
- Comprehensive health, dental, vision, life, disability, and flexible spending benefits.
- Retirement and savings plans with company contributions.
- Annual bonus program and stock-based long-term incentives.
- Paid time off, work-life balance support, and career development opportunities.
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