Senior Data Scientist

Description

The company is a global biopharma business aiming for £40 billion in annual sales by 2031 and a broad portfolio of vaccines, specialty medicines and general medicines.

This role builds connected data and knowledge capabilities for CMC Acceleration and digital manufacturing, turning scattered scientific, manufacturing, lab and quality information into governed, reusable data products.

The work sits across data science, semantic modelling, manufacturing integration and knowledge management, shaping data patterns for FIL, UNS, mapping and contextualization services, enterprise ontologies, CMC knowledge assets and data-harness capabilities.

The role mixes hands-on technical work with leading cross-functional initiatives, building technology-agnostic standards and working with data scientists, engineers, architects, CMC specialists and delivery partners.

Responsibilities

• Lead design and delivery of data science and knowledge-engineering solutions for CMC Acceleration, turning scientific and manufacturing needs into governed data products and semantic models.
• Define canonical data models, mapping rules and contextualization patterns across FIL and UNS for equipment, process, recipe, material, batch, laboratory and quality data.
• Develop and govern CMC ontologies, controlled vocabularies, taxonomies and semantic relationships covering products, processes, unit operations, equipment, analytical methods, materials, specifications, sites and manufacturing capabilities.
• Turn document-based and scientific knowledge into structured, searchable, traceable assets for knowledge graphs, retrieval, analytics and AI workflows.
• Shape data-harness capabilities that ingest, contextualize and expose information from manufacturing, lab and enterprise sources such as MES, LIMS, ELN, historians, automation platforms and external partners.
• Apply advanced analytics, machine learning and graph-based methods to CMC and manufacturing use cases.
• Set data quality, metadata, lineage and observability requirements, and work with Quality, Security, Privacy and Validation teams to build controls for regulated use.
• Provide technical leadership to data scientists, data engineers, integration engineers, architects, CMC subject-matter experts and strategic partners.
• Work with Product Management, Manufacturing Technologies, MSAT, R&D, Quality, Regulatory and site teams to prioritise use cases and define adoption plans.
• Represent the capability in architecture and data-governance forums, and build internal expertise through coaching and communities of practice.

Requirements

• Bachelor's degree in Data Science, Computer Science, Bioinformatics, Engineering, Pharmaceutical Sciences, Applied Mathematics or a related discipline.
• 6+ years in data science, data modelling, knowledge engineering, industrial data or advanced analytics.
• Experience leading complex cross-functional data, analytics or technology initiatives.
• Experience delivering production-scale data or knowledge products in pharmaceutical, biotechnology, manufacturing, laboratory or other regulated settings.
• Experience designing canonical data models, mappings, ontologies, taxonomies, knowledge graphs or semantic layers across multiple data sources.
• Experience integrating or contextualizing manufacturing or lab data from systems such as MES, LIMS, ELN, historians, automation systems or enterprise platforms.
• Experience setting data quality, metadata, lineage, testing or operational controls for data solutions.
• Preferred: Master's degree or PhD in Data Science, Computer Science, Bioinformatics, Engineering, Pharmaceutical Sciences, Applied Mathematics, scientific computing or a related discipline.
• Preferred: Experience using Python and SQL for data science, analytics, graph, semantic or machine-learning solutions.
• Preferred: Experience with FIL, UNS, or similar industrial data integration and contextualization patterns.
• Preferred: Experience with semantic technologies and standards such as RDF, OWL, SHACL, SPARQL or comparable graph and ontology technologies.
• Preferred: Experience building or applying knowledge graphs, enterprise ontologies, controlled vocabularies, taxonomies or metadata platforms.
• Preferred: Experience with streaming, time-series, event-driven, batch, graph, cloud or scalable data-processing technologies.
• Preferred: Experience applying advanced analytics or machine learning in CMC, pharmaceutical development, manufacturing or lab environments.
• Preferred: Knowledge of responsible AI, explainability, privacy, security, data integrity and risk-based validation in regulated environments.
• Preferred: Experience with GxP-regulated data and technology environments.
• Preferred: Experience working across scientific, manufacturing, data, engineering, Quality and technology teams.
• Preferred: Experience providing technical leadership, coaching specialists, or setting standards and reusable technical patterns.
• Preferred: Ability to explain complex scientific, manufacturing and technical concepts to different stakeholder groups.
• Preferred: Strong technical writing and communication skills.
• Technical skills listed for the role: Cloud Computing, Container Orchestration, Data Center Management, DevOps, Disaster Recovery (DR), Identity Access Management (IAM), Information Technology (IT) Risk Management, Integration Platform as a Service (iPaaS), Network Design, Serverless Platforms, Service Oriented Architecture (SOA), Storage Area Network (SAN), System Monitors, Technical Architecture, Technical Architecture Design, Virtualization, Zero Trust Architecture.

Conditions

Based in Cambridge MA, Waltham MA, Rockville MD or San Francisco CA: annual base salary for new hires ranges from $145,200 to $242,000, set by location within the US market, skills, experience, education and market rate.

The role includes an annual bonus and eligibility for the share-based long-term incentive programme, depending on level.

Where a salary range is not shown for a country, pay will be discussed during recruitment.

Equal opportunity: candidates who need accommodation to apply can contact US recruitment staff at the company's site.

Benefits

• Health care and insurance for employees and family, retirement benefits, paid holidays, vacation, and paid caregiver, parental and medical leave.
• Full US benefits details are available on the company's benefits summary page.