Data Scientist, Medicines Innovation Hub, Lcci

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

**Organization Overview**:
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana, USA. Our 39,000 employees worldwide work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

The Medicines Innovation Hub (MIH) strives to discover, develop, and deliver creative medicines to patients through the development and commercialization of insulins, small molecules, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies and gene therapy systems. This organization is a multidisciplinary group that works collaboratively with therapeutic business units and manufacturing to deliver the incredibly exciting Lilly clinical portfolio to patients around the world. This group drives innovation in the process development and product design through the efficient combination of domain expertise coupled with lab experimentation, computational modeling, automation, data sciences, and data rich experimentation.

The Lilly Capability Centre India (LCCI) located in Bengaluru India is a strategic investment made by Lilly to attract top talent from the vibrant academic and professional environment in India and deploy them to develop and enable critical capabilities for Lilly. The LCCI group in India houses a MIH team that works closely with the MIH team in Indianapolis in enabling the delivery of Lilly’s portfolio.
- Identify opportunities where data science can enhance and accelerate decision-making, create, and execute the plan to answer the business question.
- Experience in working with different data types and source systems as well as interfacing databases to enable extracting relevant data to address business questions.
- Experience in artificial intelligence and machine learning techniques to be able to use the right tool for the right question.
- Ability to communicate the results of analysis in an effective manner to stakeholders to drive action

**Key Responsibilities**:

- Work with partners across PR&D to identify decisions that can be informed by data science approaches.
- Build decision support tools, templates, dashboards for high frequency decisions that can leverage analytics.
- Develop tools/algorithms to mine patterns in existing data to create a recommendation on future questions to consider.
- Integrate data science capabilities with knowledge management

**Educational Requirements**:
B.S or M.S. or Ph.D. in a quantitative discipline (such as Computer Science, Engineering, Mathematics, Statistics, Operations

Research,) with 2-10 years industry experience in doing data science

**Experience Requirements**:

- Experience in working with varied data types (structured and unstructured) and databases
- Experience in programming in scripting languages including R and Python with exposure to other platforms as a plus (i.e., Perl)
- Experience in using existing statistics/machine learning tools and ability to implement custom algorithms as needed.
- Experience in natural language processing tasks/algorithms.
- Experience with visualization tools (e.g., PowerBI, Spotfire)
- Strong inter-personal and communication skills to collaborate with technology implementation partners and drive to solutions with an Agile mindset

**Additional Information**:

- Familiarity with big data technologies (Azure/AWS) is preferred.
- Web development skills (html, javascript, web frameworks) are not formally required but a working knowledge may be useful to the position
- CMC development knowledge desired but not required.
- Successful interaction with senior engineering and scientific personnel
- Limited international travel (2 - 4%) will be required.
- Work hours flexibility