Head of Computational Biology & Human Genetics

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Leadership and Team ManagementEstablish the Computational Biology & Human Genetics strategy and goalsLead a dynamic team of ~30 computational biologists, statistical geneticists, and data scientists to accelerate Takedas drug discovery and development pipelineProvide scientific leadership to ensure that Takeda remains at the forefront of science and methodology in computational biology and geneticsFoster a culture of high-performance and growth, through mentoring and career developmentDrive deep cross-functional collaboration with other computational science and R&D teams (e.g., discovery biology, screening and validation, pre-clinical sciences, translational medicine and biomarker teams, computational chemistry, quantitative sciences, therapeutic area units and engineering) 2. Target Identification & ValidationLead efforts from a computational systemsbiology and statistical genetics perspective to discover and validate targets across disease areas, with an emphasis on integrating genetic, multi-omic, and functional genomic dataLead -omic data strategies to further establish disease knowledgbase across TAs via internal cross-functional and external collaborationsWork closely with target screening and validation teams to i) rapidly iterate between experimentation and analysis, and ii) systematically translate preclinical models to human disease endpointsApply cutting-edge AI / ML methods to identify novel therapeutic targets by analyzing -scale genomic and patient-derived dataOversee the application of human genetic evidence to validate disease mechanisms and prioritize targets for drug development3. Biomarker Discovery & Clinical TranslationDrive the discovery and refinement of biomarker-disease-target relationships, ensuring that findings are actionable and translatable to the clinicWork closely with translational and clinical teams to ensure that computational insights inform patient selection, indication expansion, biomarker identification, and development of surrogate endpoints of clinical efficacy 4. AI / ML & Cutting-Edge Computational ApproachesLead the integration of AI / ML techniques and multi-modal data analysis in the discovery process to uncover novel insights into disease mechanisms, biomarker identification, and target refinement, as well as systematically evaluate and prioritize targets-indications.Collaborate with informatics / IT and other computational science teams to enhance computational infrastructure, ensuring scalability and effectiveness of data processing and modeling effortsApply multi-omics integration (e.g., genomics, proteomics, transcriptomics), multi-modal and systems biology approaches to provide holistic insights into disease biology 5. Human Genetics & Data IntegrationUtilize human genetics data to guide the identification of novel therapeutic targets, inform indication expansion, and assess the impact of genetic variations on drug safety and efficacyOversee the integration of genetic association studies (e.g., GWAS) with clinical datasets to identify potential targets and biomarkers for personalized medicineWork with clinical and preclinical teams to evaluate genetic risk factors and their implications for target selection and patient segmentation in clinical trials 6. Strategic Oversight & Cross-Functional CollaborationPartner with senior leadership to define and execute strategic goals for the computational biology and human genetics teams, ensuring alignment with broader company objectivesCollaborate with other departments (e.g., preclinical & translational sciences, therapeutic area units, global advanced platform, and drug discovery units) to ensure that insights from computational biology and genetics are effectively integrated into drug discovery programs 7. External Collaborations & InnovationIdentify and foster partnerships with academic institutions, biotechnology companies, and technology providers to leverage impactful data sets and cutting-edge scientific and technological developmentsLead the evaluation and integration of emerging technologies and methodologies to enhance team capabilitiesEducation & Competencies (Technical and Behavioral) : PhD in Computational Biology, Bioinformatics, Human Genetics, Genomics, or related fields.15 years of experience in the pharmaceutical or biotechnology industry, with a strong track record in computational biology, human genetics, or genomic medicineExperience in leading interdisciplinary teams in a large-scale research setting, with strong management and mentoring skillsExpertise in AI / ML applications in drug discovery and biomarker developmentIn-depth knowledge of transcriptomic (bulk, single cell, spatial) and proteomic approaches and state-of-the-art analytic methodologies including multi-omic / modal data integrationIn-depth knowledge of genetic data analysis, including GWAS, whole-genome sequencing, genetic risk modeling, and multi-omics integrationStrong background in target identification, biomarker discovery, and clinical translation, with a focus on therapeutic developmentDemonstrated ability to collaborate cross-functionally, with experience in working with clinical teams and translating computational findings into actionable clinical insightsExcellent communication skills, with the ability to present complex scientific concepts to non-scientific stakeholders and senior leadershipTakeda Compensation and Benefits SummaryWe 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 : Boston, MAU.S. Base Salary Range : $205,100.00 - $322,300.00The 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 job. ? The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.U.S. based e mployee s may be eligible for s hort - t erm and / or l ong- t erm incentive s . 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 StatementTakeda 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.Locations Boston, MAWorker Type EmployeeWorker Sub-Type RegularTime Type Full timeJob ExemptYesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Salary : $205,100 - $322,300