Associate Director, Computational Biology

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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. A CCOUNTABILITIES   (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. Decis ion-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   ( P roducts managed, mix of businesses, internal and/or external business environment , cultural considerations ) - T BD/Not   applicabl e 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   r elated 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