Business Capability Manager Associate

Sanofi; Hyderabad; On-site; INR 10,00,000 - 20,00,000; Full time

Job summary

A leading pharmaceutical company in Hyderabad is seeking an R&D Business Capability Manager Associate. This role involves collaboration with R&D teams, designing data solutions, and managing genomic data processes. Candidates should have a strong background in bioinformatics, scripting languages, and excellent communication skills. This is a full-time position offering opportunities for impactful contributions in drug discovery.

Qualifications

• 5+ years experience in bioinformatics, preferably in pharma or biotech.
• Proficient in scripting languages and bioinformatics tools.
• Familiar with NGS data and variant interpretation.

Responsibilities

• Collaborate with R&D teams to identify data-related needs.
• Drive program management and ensure timely delivery.
• Integrate genomic annotations with databases.

Skills

Scripting languages (Python, R, Bash)

Bioinformatics tools

Human genetics

NGS data interpretation

Diplomatic skills

Attention to detail

Communication skills

Education

M.S. in Bioinformatics or related field

Ph.D. in Bioinformatics or related field

Tools

Nextflow

Snakemake

WDL

Job description

Overview

The R&D Business Capability Manager Associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role is responsible for identification of key use cases across R&D, high-level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs), and oversight of day-to-day operations for their specific data capability.

Responsibilities

• Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts.
• Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., data catalog, master and reference data management, data products) and design innovative data solutions to support business priorities.
• Partner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access.
• Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues.
• Establish ways of working across all partner functions for specifically assigned capabilities/initiatives.
• Annotate genomic variants (e.g., SNVs, indels, CNVs, SVs) using open source or proprietary tools on relevant databases to assess functional and clinical relevance.
• Integrate genomic annotations with pathway databases, transcriptomic data, and disease ontologies to generate hypotheses about target biology and mechanism of action.
• Work with multi-omics data sets (e.g., WES, WGS, RNA-seq, scRNA-seq) and curate data pipelines to ensure quality, consistency, and reproducibility of annotations.
• Partner with wet-lab scientists, data scientists, and therapeutic area teams to deliver actionable insights for target validation, biomarker discovery, and patient stratification.
• Contribute to the development and maintenance of automated workflows, reproducible pipelines and databases.
• Document methodologies and present results in internal meetings, reports, and collaborative discussions with cross-functional stakeholders.

Deliverables

• Develops business case development, requirement identification, and use case development for business functions.
• Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities.
• Maintain genomic databases, pipelines, tools and platforms.

About you

• Experience: M.S. + 5 years or Ph.D. + 3 years hands-on experience in bioinformatics, preferably in a pharma, biotech, or translational research setting.
• Proficient in scripting languages (e.g., Python, R, Bash) and bioinformatics tools for genomic annotation.
• Solid understanding of human genetics, disease biology, and functional genomics data sets.
• Familiarity with ontologies and biological knowledgebases (e.g., GO, KEGG, Reactome, DisGeNET).
• Experience working with NGS data and variant interpretation in the context of drug discovery or precision medicine.
• Experience with workflow languages (e.g., Nextflow, Snakemake, WDL); knowledge of clinical genomics standards (e.g., HGVS nomenclature, ACMG classification).
• Familiarity with target identification and validation pipelines or biomarker discovery programs.
• Familiarity with Pharma R&D processes and technology; ability to build business relationships and understand end-to-end data use and needs.
• Diplomatic and stakeholder management skills across business, technology, and partners.
• Demonstrated strong attention to detail, quality, time management and customer focus.
• Excellent written and oral communication skills; strong networking, influencing and negotiating skills; and superior problem-solving skills.
• Demonstrated willingness to make decisions and take responsibility; excellent interpersonal skills (team player).
• People management skills either in matrix or direct line function; M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline.