Associate Director, Computational Biology
Bengaluru, Karnataka Job ID R0185244 Category Research Science Subcategory Research & Development Business Unit Research & Development Job Type Full timeBy 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 and Terms of Use. 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:
Ascientific leaderwho 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.
Anexpert in computational biology and translational bioinformaticswith deep experience in multi-omics analysis, biomarker research, and AI/ML-enabled analytical approaches, capable of guiding and critically evaluating complex scientific analyses.
Astrategic collaboratorwho will partner with clinical development, translational medicine, discovery, and DD&T teams to ensure externally supported Computational Biology activitiesremainaligned with program priorities and portfolio needs.
Acapability builder and innovatorwho willestablishscalable workflows, scientific standards, and best practices that improve consistency, quality, and reproducibility across Computational Biology activities.
Ascientific operations leaderwho 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 beidentified).
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, anddecision-ready.
Applyexpertisein 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 executionremainsaligned 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,applicationand complexity of technical knowledge)
Deepexpertisein 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-makingand 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 decisionsregardinganalytical 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 ofscientific knowledge, knowledge sharing,innovationand risk taking)
Drive adoption of scalable analytical approaches and reusable Computational Biology capabilities.
Champion continuous improvement, operational excellence, and knowledge sharing.
Evaluate emerging technologies andidentifyopportunities to enhance scientific execution and efficiency.
Complexity(Products managed, mix of businesses, internal and/or external business environment, cultural considerations)
TBD/Notapplicable
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:(List the essential and desirable education and competency requirements to perform the primary responsibilities of the job. Anyminimumrequirements should be noted.)
Required
PhD (or MS with significant industry experience) in Computational Biology, Bioinformatics, Systems Biology, Genomics, DataScienceora relateddiscipline.
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 andstakeholder-managementskills.
Excellent written, verbal, and presentation skills.
Proven ability tooperateeffectively across geographies, cultures, and time zones.
Preferred
Experience in immunology, gastroenterology, inflammation, rarediseaserelated 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.
Experienceoperatingwithin global matrix organizations.
