Associate Director Computational Biology

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/).  I further attest that all information I submit in my employment application is true to the best of my knowledge. **Job Description** ------------------- _OBJECTIVES/PURPOSE_ _(3-4 bullets)_  We have an exciting opportunity for an Associate Director / Director, Computational Biology Scientific Operations & Capability Lead to join the Computational Biology team within the Gastrointestinal & Inflammation Therapeutic Area Unit (GI²-TAU).  We are looking for:  * A **scientific leader** who will play a pivotal role in expanding Computational Biology capabilities and scientific impact across GI² programs through high-quality external scientific execution, reusable analytical capabilities, and operational excellence.  * An **expert in computational biology and translational bioinformatics** with deep experience in multi-omics analysis, biomarker research, and AI/ML-enabled analytical approaches, capable of guiding and critically evaluating complex scientific analyses.  * A **strategic collaborator** who will partner with clinical development, translational medicine, discovery, and DD&T teams to ensure externally supported Computational Biology activities remain aligned with program priorities and portfolio needs.  * A **capability builder and innovator** who will establish scalable workflows, scientific standards, and best practices that improve consistency, quality, and reproducibility across Computational Biology activities.  * A **scientific operations leader** who will serve as the primary interface between the Boston-based Computational Biology team and India-based FSPs, contractors, and external scientific partners, reducing communication, coordination, and oversight burden while strengthening execution quality across the network.  _ACCOUNTABILITIES_ _(Describe the primary duties and responsibilities of the job.  Include only the essential functions of the job. Approximately 5 – 10 bulleted task statements should be identified)._  **Scientific Operations & External Execution**  * Serve as the primary scientific interface between the Boston-based Computational Biology team and India-based FSPs, contractors, and external partners.  * Translate GI² scientific priorities into clear analytical plans, deliverables, and quality expectations.  * Oversee externally supported Computational Biology activities and reduce coordination and oversight burden on Boston-based scientists.  **Scientific Leadership & Quality**  * Provide scientific leadership and oversight for Computational Biology analyses, ensuring outputs are rigorous, reproducible, and decision-ready.  * Apply expertise in computational biology, multi-omics, biomarkers, and translational research to guide analysis and interpretation.  **Capability Development**  * Build reusable Computational Biology workflows, standards, and best practices that can be applied across programs and disease areas.  * Advance scalable analytical capabilities through partnerships with Computational Biology, Digital, DD&T, and Data Science teams.  **Program Support & Collaboration**  * Maintain targeted engagement with priority programs to ensure external execution remains aligned with scientific and portfolio priorities.  * Support program teams with insights related to biomarkers, disease biology, patient stratification, and multi-omics analysis.  * Foster a culture of scientific excellence, innovation, collaboration, and continuous improvement across internal and external teams.  Technical/Functional (Line) Expertise _(Breadth and depth of knowledge, application and complexity of technical knowledge)_   * Deep expertise in Computational Biology, Bioinformatics, Systems Biology, Translational Bioinformatics, or related disciplines.   * Strong background in multi-omics analysis, biomarker discovery, patient stratification, and translational data analysis.   * Experience applying advanced analytical approaches, including AI/ML methods, to support decision-making.   * Ability to review, challenge, and guide complex scientific analyses and biological interpretations.   * Strong understanding of reproducible research practices, data quality standards, and analytical governance.  Leadership _(Vision, strategy and business alignment, people management, communication, influencing others, managing change)_   * Provide scientific leadership across internal and external teams within a matrix environment.   * Influence scientific strategy, operating models, and capability development initiatives.   * Drive alignment among diverse stakeholders with competing priorities.   * Build trust and credibility with scientific leaders, program teams, and external partners.  Decision-making and Autonomy _(The capacity and authority to make organizational decisions, autonomy in decision-making, complexity of decisions, impact of decisions, problem-soliving)_  * Operate independently with broad accountability for quality and effectiveness of external Computational Biology execution.   * Make informed decisions regarding analytical approaches, prioritization, quality standards, and risk mitigation.   * Provide recommendations that influence program decisions, capability investments, and operational strategy.  Interaction _(The span and nature of one’s engagement with others when performing one’s job, internal and external relationships)_  * Collaborate across Computational Biology, Translational Medicine, Clinical Development, Discovery, Biomarker Sciences, and DD&T functions.   * Engage regularly with FSPs, contractors, CROs, academic collaborators, and technology partners.   * Communicate complex scientific concepts effectively to technical and non-technical audiences.  Innovation _(The required level of scientific knowledge, knowledge sharing, innovation and risk taking)_  * Drive adoption of scalable analytical approaches and reusable Computational Biology capabilities.   * Champion continuous improvement, operational excellence, and knowledge sharing.   * Evaluate emerging technologies and identify opportunities to enhance scientific execution and efficiency.  Complexity _(Products managed, mix of businesses, internal and/or external business environment, cultural considerations)_  * TBD/Not applicable  _EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:_  _(List the essential and desirable education and competency requirements to perform the primary responsibilities of the job.  Any minimum requirements should be noted.)_  **Required**  * PhD (or MS with significant industry experience) in Computational Biology, Bioinformatics, Systems Biology, Genomics, Data Science or a related discipline.  * 8+ years of relevant experience in pharmaceutical, biotechnology, CRO, FSP, or related life sciences organizations.  * Strong experience applying Computational Biology approaches to drug discovery, translational medicine, biomarker research, precision medicine, or clinical development.  * Demonstrated experience guiding complex multi-omics and translational data analyses.  * Experience interacting with external scientific partners, contractors, FSPs, CROs, or distributed scientific teams.  * Strong matrix leadership and stakeholder-management skills.  * Excellent written, verbal, and presentation skills.  * Proven ability to operate effectively across geographies, cultures, and time zones.  **Preferred**  * Experience in immunology, gastroenterology, inflammation, rare disease related therapeutic areas.  * Experience supporting clinical-stage programs, biomarker strategies, and translational research initiatives.  * Experience building reusable analytical workflows, standards, or capability platforms.  * Familiarity with cloud-based analytical environments, FAIR data principles, and enterprise data platforms.  * Experience mentoring Computational Biologists, Bioinformaticians, Data Scientists, or scientific teams.  * Experience operating within global matrix organizations.  **Locations** ------------- IND - Bengaluru - Research and Development **Worker Type** --------------- Employee **Worker Sub-Type** ------------------- Regular **Time Type** ------------- Full time