Tiger Analytics - R&D/Clinical Development Engineer - Artificial Intelligence

Description :

About the role :

Talent with Pharma domain knowledge with Analytics, R&D or Clinical development experience is needed

As Program Lead Analytics Consulting (Pharma), you will work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to one or more clients. In doing so, you will closely collaborate with a team of consultants, data scientists and data engineers.

You will lead the project team to design and deliver impactful solutions, drive adoption, and articulate value. On a typical work day, you could be doing one or more of the following

- Participate in client workshops to identify high impact problems that could be solved through AI based solutions

- Translate business problems (sometimes ambiguous) into clear analytic problem statements.

- Design a plan to develop and deploy advanced analytics solutions in collaboration with SMEs in Data Science & Engineering.

- Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities.

- Measure and articulate how analytic results improve clients business & financial metrics.

- Perform a role that involves a combination of hands-on contribution, customer engagement and team management. Contribute to organization building through training, mentoring, and developing repeatable analytic approaches.

Location : Chennai, Bangalore & Hyderabad

Responsibilities :

- Work on some of the latest applications of AI to solve complex business problems and demonstrate significant business value to one or more clients in the Pharma domain.

- Domain expertise in Pharma Industry or in Life Sciences / Us healthcare worked on Analytics consulting as a mandate.

- Build machine learning and/or statistical models in Life sciences use cases such as predicting disease or treatment outcomes.

- Develop thorough understanding of the Real-World Data (such as patient claims data, EMR, consumer data) and their use cases in pharmaceutical/health care research.

- Knowledge of different retrospective RWD (Real World Data) databases such as Truven, Optum, Symphony etc.

- Experience in bio-statistical techniques such as Survival analysis.

- Minimum 6 years of relevant work experience in delivering advanced analytics.