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Generative AI Consultant - Life Sciences/Pharma

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Description

GenAI:

We are hiring an experienced GenAI / AI-ML Consultant to work on strategic AI and digital transformation initiatives for global Life Sciences and Pharma clients.

Experience: 4 - 8 Years

Level: Consultant

Locations: Bangalore | Gurgaon | Pune

Role Overview:

The role combines AI/GenAI expertise with Life Sciences/Pharma domain knowledge. You will work on complex business problems and design data-driven solutions using GenAI, RAG, Agentic AI, Machine Learning and advanced analytics.

Key Responsibilities:

- Design and implement GenAI, RAG, Agentic AI and AI/ML solutions for Life Sciences use cases.

- Work with Pharma, Clinical, RWE, EMR, R&D and Commercial datasets.

- Analyze large datasets and develop data-driven recommendations for clients.

- Work with Python, SQL and other data/AI technologies.

- Collaborate with Data Engineering, Data Science and Business Intelligence teams.

- Apply AI and analytics to business transformation and process optimization initiatives.

- Engage with clients, understand business requirements and communicate recommendations and insights.

- Contribute to consulting engagements, proposals, research, methodologies and thought leadership.

Must-Have Skills:

- Strong hands-on experience in GenAI, RAG and Agentic AI.

- Strong knowledge of AI/ML, NLP and LLMs.

- Proficiency in Python and SQL.

- 4+ years of experience in Life Sciences / Pharma / Healthcare projects.

- Experience with Life Sciences datasets such as Clinical, RWE, EMR, R&D or Commercial data.

- Strong analytical and problem-solving capabilities.

- Excellent communication and presentation skills.

Preferred Skills:

- Experience with IQVIA, Komodo, RAVE, Truven or Optum.

- AWS, Azure or Google Cloud.

- Power BI, Tableau, QlikView or Spotfire.

- Spark / PySpark / Databricks / R.

- Statistical modelling, predictive modelling, segmentation, hypothesis testing and time-series analysis.

- Design thinking, business process optimization and stakeholder management.

Education:

Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems or another quantitative discipline.

What the Role Offers:

An opportunity to work on high-visibility AI and transformation projects with global Life Sciences clients, collaborate with senior industry and technology professionals, and build expertise across GenAI, Agentic AI, Data Science and Life Sciences consulting.

Skills

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