Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job description
Job Description
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, & 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
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
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
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
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
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
TBD/Not applicable
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
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
#J-18808-Ljbffr
Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.