Associate Director, Computational Biology
Job Location:
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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 Takedas 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 DigitalDD&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 knowledgeapplicationand 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 ones engagement with others when performing ones 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 sharinginnovationand 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.)
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.
Locations
IND - Bengaluru - Research and DevelopmentWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full timeRequired Experience:
Director
About Company
Takeda is a patient-focused, R&D-driven global biopharmaceutical company committed to bringing Better Health and a Brighter Future.
