Business Capability Manager Associate

Position Summary:

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 will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability.

Main 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, etc.) and design innovative data solutions to support business prioritiesPartner 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
• undefined

• 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 communications skills,Strong networking, influencing and negotiating skills and superior problem-solving skills
• Demonstrated willingness to make decisions and to take responsibility for such, 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