Director, Computational Biology

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Job Description

Objective / Purpose:

The Director Oncology Computational Biology will be a key member of the Computational Biology and Human Genetics (CBHG) team within the Computational Science and Data Strategy department. The Director will be a hands-on expert in cancer genetics/genomics and computational oncology and will drive oncology Target ID and validation drug discovery and indication selection in a cross-functional environment comprised of cancer biologists drug discovery experts translational scientists AI/ML experts and many others. The Director will be responsible for establishing rigorous frameworks for high-dimensional data analysis executing analyses to generate insights across the Oncology Research portfolio and shaping the oncology data and analytics environment to be broadly deployed to Takedas Oncology Research community.

Accountabilities:

• 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 Takedas 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

Education & Competencies

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

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors including the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in 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 and well-being benefits among others. U.S. based employees are also eligible to receive per calendar year up to 80 hours of sick time and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race color religion sex sexual orientation gender identity gender expression parental status national origin age disability citizenship status genetic information or characteristics marital status status as a Vietnam era veteran special disabled veteran or other protected veteran in accordance with applicable federal state and local laws and any other characteristic protected by law.

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Job Exempt