Director, Computational Biology jobs in United States
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TakedaPharmaceutical Nordics AB · 11 hours ago

Director, Computational Biology

TakedaPharmaceutical Nordics AB is seeking a Director in Oncology Computational Biology to join their Computational Biology and Human Genetics team. The role involves driving oncology Target ID and validation, drug discovery, and indication selection while collaborating with cross-functional teams to enhance the oncology data ecosystem and deploy advanced analytical techniques.

Pharmaceuticals

Responsibilities

As a recognized expert in cancer genetics and -omics, and in computational methods for harnessing high-dimensional oncology-relevant data, set strategy and generate rigorous insights impacting all stages of the Oncology Research (Drug Discovery Unit) portfolio
Design and implement computational approaches to systematically identify, evaluate, and prioritize new cancer drug targets and their potential indications
Design and implement computational biology approaches to evaluate the suitability of targeting approaches and of therapeutic leads
Drive the development of Takeda’s oncology data ecosystem. Identify gaps and opportunities to fill them, including by external collaboration, as needed
Work closely with data science and engineering colleagues to deploy data and analytical techniques to the Oncology Research community, to democratize the rigorous generation of insights
Work closely with AI/ML teams to define and implement cutting-edge AI models, including LLMs and biological foundation models, which help generate novel insights rooted in well-curated data and rigorous statistical approaches
Manage resources and priorities in complex, multi-disciplinary teams
Communicate complex results to diverse audiences, including bench scientists, portfolio managers, and senior leadership

Qualification

Computational BiologyCancer Genetics/GenomicsMachine LearningAI/LLMsDrug DiscoveryProject ManagementOrganizational SkillsCommunication Skills

Required

PhD in Computational Biology or a related discipline, plus 10+ years of experience
Recognized expert in cancer genetics/genomics and oncology computational biology
Expertise in machine learning and complex algorithms required
Demonstrated ability to lead complex projects in a matrix environment
Strong organizational skills; ability to set priorities and meet program objectives and timelines
Strong written and oral communication skills to diverse audiences

Preferred

Experience in AI/LLMs/biological foundation models preferred
Industry experience supporting target ID and/or drug discovery preferred

Benefits

Medical, dental, vision insurance
A 401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
A tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time
Up to 120 hours of paid vacation

Company

TakedaPharmaceutical Nordics AB

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Funding

Current Stage
Early Stage
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