Role Summary
Axtria is seeking a Director to lead Clinical AI, GenAI, and Agentic AI technology consulting for our US pharmaceutical and life sciences clients. This is a sales-oriented, client-facing role: the Director will originate and close new business, architect AI-led clinical solutions, and represent Axtria in front of senior client stakeholders. Working knowledge of AI/GenAI is a baseline expectation for this role, with a particular emphasis on technology and solution architecture. Ideal candidates bring a blend of deep technology and solution consulting experience, strong clinical domain depth, and a proven track record of selling clinical analytics and AI services at leading consulting or technology services firms.
Core Responsibilities
- 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.
Qualifications
- 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).
Pay Transparency Laws Salary range or hourly pay range for the position
The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.
