Director - Clinical AI & Technology Consulting

• Business Development & Sales: Own revenue growth for Clinical AI/GenAI consulting; drive the full sales cycle - prospecting, solutioning, proposal/RFP response, and closing - with pharma and biotech clients in the US.
• Client Relationship Management: Build and own senior client relationships at the VP/CxO level; act as a trusted advisor on AI strategy for clinical R&D.
• Solution Architecture: Design modern AI solution architectures, including Agentic AI frameworks (e.g., LangGraph, CrewAI, AutoGen), GenAI/LLM-based applications, and predictive analytics for clinical operations, biometrics, drug safety, and medical affairs.
• Thought Leadership: Represent Axtria at industry conferences, client workshops, and analyst briefings; publish points of view on GenAI and Agentic AI in the clinical value chain.
• Delivery Oversight: Partner with delivery teams to ensure technical rigor, quality, and on-time execution of sold engagements.
• GTM & Capability Building: Partner with Axtria’s India-based SME team to develop new offerings, lead proof-of-concepts (PoCs), and build go-to-market collateral for AI-led clinical solutions.
• Maintain high CSAT and NPS scores to ensure customer satisfaction and long-term client relationships.

• 15+ years in clinical/life sciences consulting or technology services, including significant time in a client-facing sales/business development leadership capacity.
• Prior experience at a leading consulting or technology services firm required.
• Demonstrated success selling clinical analytics, AI, or technology consulting engagements to pharmaceutical or biotech clients.
• Strong working knowledge of the clinical domain - study design, clinical feasibility, clinical real-world evidence (RWE), study rescue, and clinical data repositories (CDR) - beyond a purely technical or SME lens.
• Bachelor’s or Master’s degree in Life Sciences, Data Science, Computer Science, or a related field.
• Based in or willing to relocate to New Jersey; willing to travel to client sites as needed.

Key Skills & Knowledge Areas

• Strong working knowledge of GenAI, large language models (LLMs), and Agentic AI frameworks as applied to the clinical value chain.
• Deep familiarity with clinical domain concepts: study design, clinical feasibility, clinical RWE, study rescue, CDR, and related clinical operations processes.
• Familiarity with clinical data sources and standards: CTMS, EDC, IRT, Labs, EHR/RWD, CDISC (CDASH, SDTM, ADaM), FHIR.
• Understanding of AI/ML techniques including NLP, predictive modeling, and transformer-based architectures.
• Awareness of cloud and big data ecosystems (AWS/Azure/GCP, Spark/Databricks) sufficient to speak credibly with technical stakeholders.
• Knowledge of regulatory and compliance frameworks relevant to clinical data (GxP, 21 CFR Part 11, HIPAA, GDPR).