Biopharma, global health & life sciences

Pharmaceuticals, biotech, nutrition and health sciences, clinical development and immunisation.

52 contributions across 4 experiences

Where this industry appears in the career

Often together withScientific research & academia Public sector & international organisations Manufacturing, chemicals & industrials Retail, consumer goods & e-commerce Logistics & supply chain Banking & financial services

2019–202422 contributions

DSM-Firmenich

Managed a cross-disciplinary team of data scientists, PhD students, contractors and cloud developers (15+ FTEs), delivering commercial and R&D projects with over €70 million in projected value, recognised by DSM’s scientific community and leadership; nurtured international R&D partnerships with client partners up to C-level.
Coached and led the Digital and Data Science core leadership team (3 FTE) within the broader 15+ FTE organisation — direct reports, team leads, technical leads, academic collaborators and matrixed delivery staff — with clear performance, capability and succession responsibilities.
Managed an annual technology and innovation budget of about USD 500,000.
Steering Committee member of the Corporate Research Program for Digital Transformation; co-authored the 2019 Digital Aiming Points for the global R&D digital strategy and contributed to the HR Talent Acquisition and Retention Strategy.
Founded and led the Digital Hub in Poland, an agile, start-up-like AI research group with proven cost savings of €650,000 per year, and designed its Talent Acquisition Strategy for Digital and Data Science with retention guidelines, cutting AI team turnover by 80%.
Coached regional data scientists and colleagues on data science and digital transformation for projects spanning 60+ R&D labs, 85 manufacturing plants and supply chain, chemistry, compound analytics, formulations, marketing and sales.
Pioneered an AI hybrid digital twin predicting unintended manufacturing-plant shutdowns that reduced downtime by 48% and earned the Best DSM Corporate Research Project award, using deep learning (LSTM, self-attention) on 768 real-time sensor streams and LLMs (GPT-3.5, Llama 2) in LangChain for maintenance-log interpretation.
Implemented a production-grade MLOps framework for AI-driven lab automation (CNN/NLP chromatogram recognition), achieving €1.5M annual ROI and €1.2M annual savings through workflow automation.
Ideated and led research on an AI digital twin modelling the statistical distribution of sun-cream UV filters on skin, aiming to replace in-vivo experiments with digital solutions — a projected value of €30M+ per year.
Led global knowledge management and community building, coordinating the authoring of 1,000+ pages of lab R&D content with AI.
Coordinated international Corporate Research Program (CRP) activities in Digital Transformation and the Digital Twin Lab — agile pilots for digital disruption, competence development and continuous improvement.
Established mentoring, technical career paths, communities of practice, internal learning programmes and leadership coaching for AI practitioners, improving retention, engagement, promotion readiness and technical consistency.
Fostered an innovation culture across the organisation, coordinating all departments to integrate new technologies and processes.
Led R&D on a new data-science model automating the identification and quantification of chemical compounds in chromatograms with neural networks, outperforming lab analysts in accuracy and precision, in partnership with Loughborough University (UK).
Led an information-retrieval project governing millions of lab documents with NLP and transformers (BERT, GPT) for keyword extraction and synonym generation, plus an ontology integrated with public data sources to improve research data interoperability.
Led the development of a machine-learning model to reduce the causes of gas emissions in wastewater treatment plants for vitamins, providing concrete strategies for environmental impact reduction.
Designed the data governance strategy for R&D and manufacturing on the DAMA Body of Knowledge, with policies, FAIRness guidelines, quality standards and data stewardship aligned to the corporate digital strategy.
Developed the global strategy for adopting clinical-trial data standards, extending CDISC-SEND to animal nutrition research to enable rapid submission of results to the FDA.
Applied validation-by-design for AI-enabled processes in pharmaceutical and clinical environments: requirements traceability, controlled documentation, test evidence, audit trails, change control and role-based approvals.
Managed collaborations with Contract Research Organisations (CROs) for digital projects, establishing strategic partnerships for external AI/ML development and research.
Created and coordinated a network of European academic partnerships for research in digital technologies applied to DSM business and marketing cases.
Speaker at international pharma and health conferences on digital and data management, building DSM’s thought leadership in AI and data science.

202621 contributions

Gavi, the Vaccine Alliance

Aligns the Innovation Lab architecture and experimentation portfolio to Gavi 6 Strategy 2026–2030 “Data Visibility & Use”, so every experiment traces to programmatic impact on global immunisation delivery.
Established and operates the Innovation Lab’s experimental AI tooling estate on Microsoft Frontiers models in Azure — including Cowork, Copilot Claude, MS Scout and OpenClaw for agentic-AI experimentation and architecture evaluation, alongside Cursor, Lovable, Bolt, v0, Microsoft 365 Copilot, Copilot Studio and Azure AI Foundry — under defined tool-selection rules, cost guardrails and an approved/excluded tooling list.
Leads AI enablement through a three-tier training architecture, a curated prompt library, an intranet AI Self-Service Hub and an organisation-wide AI Community of Practice with departmental champions — targeting 80%+ awareness-training completion and 70%+ monthly active Copilot users in year one.
Covered visitor and case lifecycles, category taxonomies, referral routing and service metrics under hard confidentiality controls — an immutable audit trail, a strict “Chinese wall” between functions, visitor numbers with no names stored and a <5 anonymisation threshold on all reporting — modelled in C4 and validated by an independent penetration test before go-live.
Designed the Azure architecture extending Gavi’s Programmatic Dashboard from reactive reporting to predictive early warning, forecasting country × vaccine stock-buffer breaches 6–12 months ahead — integrating SAP, UNICEF SD/Thrive360 and VaxNeed into Azure SQL and a row-level-secured Power BI model, with forecasting on Azure Machine Learning and grounded narrative generation on Azure OpenAI behind an API Management LLM gateway.
Coordinated architecture-board acceptance of the Governance Bot: a permission-aware knowledge assistant for audit-committee, board and governance-decision queries in Teams and SharePoint on Azure AI Foundry, with an eight-metric production-approval framework — answer accuracy ≥90%, citation coverage 100%, fallback precision ≥95%, access-control integrity 100% — so an AI service is not approved on technical completion alone.
Skills and technologies: Azure solution and security architecture (App Service, Static Web Apps, Functions, SQL, Blob, Key Vault, API Management, Data Factory, Machine Learning, AI Foundry, AI Search, Monitor) · Snowflake · Azure OpenAI, RAG, multi-agent and agentic AI · MLOps/LLMOps and AI evaluation · AI governance, Responsible AI and EU-aligned AI risk management · Entra ID, RLS, TDE/CMK, PIM, managed identities, TLS · C4 and TOGAF · Power BI, Power Platform, Copilot Studio, Purview, Sentinel · confidential-data governance · innovation portfolio governance, vendor selection and procurement · Design Thinking and rapid prototyping facilitation.
Principal AI Architect and Innovation Lab Coordinator consultant at Gavi, the Vaccine Alliance, leading the AI architecture practice behind global vaccination programmes; owns the end-to-end innovation lifecycle — idea, experimentation, outcomes, stabilisation, operationalisation — as operational deputy to the Innovation Lab Lead, and leads architecture definition and deployment across the AI portfolio.
Leads and coordinates Forward Deployed Engineers embedded with business teams to carry AI systems from prototype into production use.
Member of the Gavi architecture board, responsible for standards, investment prioritisation, solution assurance, exception management and technology-risk decisions; set up and coordinates the Gavi Innovation Lab.
Manages the Innovation Lab governance model, structuring innovation into three stepped streams (Ideation → Experimentation → Stabilisation) with five accountable roles, RACI ownership per activity, entry and exit criteria, and a rhythm of weekly experiment reviews, monthly idea reviews and quarterly approval sessions.
Manages dual-mode execution governance for experiments: in-house delivery with mandatory Platform Architect validation of capacity, skills, security guardrails and environments, and external delivery by vendors, startups and academia through a four-phase collaborator workflow with capability-based assessment, compliance checks and post-experiment partner evaluation.
Managed the Innovation Lab KPI framework across Innovation & Delivery, Business Impact and Engagement.
Supported the conversion of the Innovation Lab from a project team into a consumable internal service, defining five entry pathways by idea maturity, a guided intake routed on maturity, urgency and strategic alignment, and three graduated support levels; participated in the launch of the new Innovation Lab Office.
Leads change management for innovation adoption, codifying the Lab’s operating values (human-centric, inclusive, transparent, business-grounded, outcome-oriented, open, ethical) and the adoption mechanics behind them: executive sponsorship, a distributed network of local advocates, continuous field feedback loops and evidence-based impact narratives.
Maintains the Innovation Lab vendor capability matrix, benchmarking six global delivery partners across five domains — AI & Machine Learning, Blockchain & Digital Assets, Immersive & Emerging Tech, Automation & Data, Research & Innovation — as the mandatory input to external-executor selection.
Operationalised AI governance controls covering data leakage, agent proliferation, cost overruns, prompt injection, hallucination and shadow AI, with per-agent monthly credit limits and threshold alerting, DLP connector policies blocking third-party connectors, and monitoring across Power Platform Admin Center, Microsoft Purview and Microsoft Sentinel, reported monthly to the AI Steering Committee.
Established the reusable reference architecture for grounding Copilot agents in enterprise knowledge — SharePoint → Azure Blob → Snowflake → Azure AI Search vector index → Power Automate → Azure OpenAI → Copilot in Teams/SharePoint — secured with Entra ID RBAC, Key Vault and Purview DLP, with mandatory citation traceability and token-consumption cost controls.
Develops AI and solution architectures in full collaboration with the information-security and compliance function, as a formal pre-review and clearance gate rather than an after-the-fact sign-off; controls such as Entra ID SSO, least-privilege service access, audit logging of queries, responses and data access, restricted-content protection, Key Vault, PIM, RLS and Purview DLP are specified at design time.
Designed the secure Azure architecture for Gavi’s confidential Ombuds, Staff Counsellor and Ethics & Compliance case- and visitor-management platform: three segregated functions on Azure App Service over Azure SQL with Transparent Data Encryption and customer-managed keys in Key Vault, row-level security, Entra ID app roles enforced per request, managed identity as sole database principal and Privileged Identity Management with no standing admin access.
Defined a multi-tier Governance Copilot ecosystem separating the user-facing Governance Bot, a Governance Knowledge Hub and a Power Automate + Azure OpenAI Query Executor, with Azure Blob ingestion, Azure AI Search vector indexing, Entra ID single sign-on and Azure Monitor / Log Analytics monitoring of latency, token usage and errors.

2024–20252 contributions

EPAM Systems

Spearheaded the global expansion of EPAM’s Data & AI practice across EMEA, North America, APAC, LATAM and CIS, defining strategic direction for AI, Generative AI and Agentic AI, and led client engagements and pre-sales across banking, government services, logistics, consumer goods, biopharma, chemicals, telecommunications, energy and industrials.
Global pharmaceutical company: principal expert (GenAI, architecture, software engineering) supporting the AI Factory framework and global AI strategy; defined a reusable AI component framework and LLM/multi-agent orchestration for biomedical R&D and regulatory processes, and a global Community of Practice for AI knowledge sharing.

20181 contribution

Fair Trade Handels

Restructured functions, technical teams and programmes into a digital, data-driven organisation, optimising distribution, revenue management, pharmaceuticals, decision-making and sales operations.

Profile5 contributions

Across the career

Specialises in data products and AI strategies for pharmaceutical, biotech, clinical-development and biomedical environments.
Works across clinical-trial data strategy, TMF metadata, CTMS, eTMF, EDC integration, clinical time-series and regulated data ecosystems, partnering with Contract Research Organisations (CROs) to align clinical-trial data with CTMS, eTMF and EDC systems.
Drives the innovation lifecycle from drug discovery to high-volume consumer e-commerce.
Brings cross-industry experience spanning biopharma, banking, insurance, life sciences, chemicals, manufacturing, supply chain, finance, e-commerce, public sector, NGOs and FMCG.
Has delivered AI and data solutions for both scientific and commercial environments, from biomedical R&D and manufacturing to retail and local commerce.

Skills1 contribution

Skills & applied knowledge

R&D strategy and innovation-adoption practices in pharmaceutical and life-sciences organisations.

All industries

Retail, consumer goods & e-commerce 55 Scientific research & academia 55 Public sector & international organisations 54 Biopharma, global health & life sciences 52 Agriculture, food & environment 30 Technology consulting & IT services 30 Logistics & supply chain 16 Manufacturing, chemicals & industrials 11 Banking & financial services 8 Media & publishing 4 Energy 2 Telecommunications 2