Practice: Accenture S&C- GN- Industry & Enterprise
Capability: Life Sciences – R&D (General R&D, Clinical, Safety & Regulatory)
Career Level: Consultant
Experience: 3-7 yrs

WHAT WE ARE LOOKING FOR:

• AI Transformation Advisory: AI opportunity identification and qualification across Life Sciences R&D functions; AI-ready process design and solution shaping for drug discovery, clinical development, and regulatory workflows; experience conducting client workshops and capability assessments in Life Sciences context
• Life Sciences R&D Domain Expertise (AI fluent): Working knowledge of one or more Life Sciences R&D sub-functions and their data: General R&D (target identification, drug discovery, R&D portfolio management, translational research); Clinical (protocol development, site selection, patient recruitment, clinical data management, EDC, CTMS, eTMF and other systems); Safety & Regulatory (pharmacovigilance, adverse event management, signal detection, regulatory submissions – IND/NDA/BLA/CTD, labeling, regulatory intelligence etc.)
• Process Excellence + AI (R&D): Process discovery and redesign across R&D sub-functions; business process modelling for clinical operations, regulatory submissions, and safety workflows; process analysis and optimization with knowledge of GxP compliance requirements and validation considerations
• Life Sciences R&D Functional Transformation: Functional process knowledge across R&D value chain – study start-up, clinical trial management, pharmacovigilance operations, regulatory affairs, and medical writing; familiarity with key platforms such as Veeva Vault (CTMS, RIM, Safety, eTMF), Medidata Rave, Argus Safety etc.
• AI Value Architecture (R&D): Value discovery and benefit quantification for AI initiatives in R&D contexts (e.g. cycle time reduction in clinical trials, submission timelines, PV processing efficiency); business case development with understanding of R&D cost drivers and regulatory risk dimensions
• Life Sciences R&D Data & AI: Data readiness assessment for AI across R&D data types (clinical trial data, ICSR/safety data, regulatory documents, scientific literature); understanding of data standards (CDISC – SDTM/ADaM, MedDRA, WHO Drug); data product concepts and AI adoption support in GxP-compliant environments
• Agentic Enterprise (R&D): Identification and scoping of agentic AI opportunities across R&D sub-functions; agent workflow mapping and orchestration design for multi-step R&D processes; human-in-the-loop design with sensitivity to regulatory and patient safety considerations; knowledge of agentic frameworks and platforms (e.g. LangChain, Copilot Studio, AWS Bedrock Agents) and their applicability in Life Sciences contexts
• Across all: AI fluency (fundamentals of AI, GenAI, Agentic AI); requirements definition; understanding of Life Sciences regulatory environment (FDA, EMA, ICH guidelines); consulting skills including structured problem-solving, stakeholder management, and ability to engage with both scientific and business audiences

 

 

 

 

GOOD TO HAVE EXPERINCE:

• AI prototyping with GenAI and agent builders
• Process Mining (Celonis/Signavio/Soroco)
• RPA (UiPath/Automation Anywhere)
• Low-Code/No-Code development tools (co-pilot studio, N8N, etc.)
• SQL and Python basics
• Data visualization and storytelling
• Understanding of SDLC and Business Analysis
• Familiarity with Life Sciences R&D platforms: Veeva Vault (CTMS, RIM, Safety, eTMF), Medidata Rave / Rave RBQM, Oracle Clinical One, Argus Safety, ARIS-g etc.
• Knowledge of data standards relevant to Life Sciences: CDISC (SDTM, ADaM), MedDRA, WHO Drug, HL7 FHIR
• Prior consulting experience in Life Sciences, or in-industry operating experience in R&D, Clinical Operations, Regulatory Affairs, or Pharmacovigilance

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.