Job Summary :

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities :

- Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes.

- Independently manage communications with clients, ensuring clear understanding of project objectives and progress updates.

- Design and implement GenAI, RAG, Agentic AI, or traditional AI/ML algorithms tailored to address specific business challenges within the healthcare and life sciences sector.

- Demonstrate knowledge of life sciences datasets and maintain strong domain expertise to drive the development of robust analytics solutions.

- Collaborate with cross-functional teams, leveraging skills in data engineering, data science, and business intelligence tools such as Power BI or Tableau.

What we're looking for :

- Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

- 4-8 years of experience in working on Life Sciences/Pharma/Healthcare projects.

- Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions.

- Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.

- Proficiency in Programming languages such as Python, SQL, Spark, etc.

- Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.

- Excellent analytical and problem-solving skills, with a data-driven mindset.

Tech Stack : GenAI, RAG, Agentic AI, Python, SQL, AI/ML, Power BI, Tableau, Spark, Databricks.