Intern - Software Product Engineering

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.

Our Purpose

At Eli Lilly and Company, 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 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 are looking for people who are determined to make life better for people around the globe.

The Lilly Bengaluru, India is constantly expanding the Information and Digital Solutions team as part of Lilly's broader Tech strategy with Technology@Lilly, to support current and future Technology needs across the enterprise. Lilly Bengaluru is looking for Engineers across diverse areas including Digital Health, Medicine Development, Data Platforms, Advanced Analytics, AI and Automation, Research and Development, Information Security, Enterprise Platforms and Tools, and more.

Job Location Bengaluru

Qualification and Eligibility Criteria BE/BTech/M.Sc. in Biotechnology or a related Engineering discipline.

ROLE OVERVIEW

We are looking for a research-oriented intern who sits at the intersection of computational biology and platform engineering. This is not a purely coding role nor a purely wet-lab role — it requires someone who understands biological workflows deeply enough to make them better as software.

You will contribute to building, testing, and validating bioinformatics and computational pipeline nodes — helping translate complex biological sequences and data analysis workflows (protein structure prediction, microbiome analysis, phylogenetic pipelines) into reusable, production-grade platform components.

Skills Needed

Programming:

Basic knowledge of Python (core programming), NumPy & Pandas, Jupyter Notebooks, REST API consumption.

Scientific & Biological Domain:

Understanding of Sequence Alignment & Quality Control (BLAST, ClustalW), NGS Data Analysis, Molecular Biology — DNA/PCR/Protein concepts

AI & GenAI:

AI-assisted coding (Copilot / Claude Code)

WHAT YOU WILL LEARN & EXPERIENCE

This internship offers a rare combination of scientific depth and platform-scale engineering exposure in an active drug discovery environment:

• End-to-end experience building production bioinformatics workflows on a Temporal-based orchestration platform used by Lilly research scientists globally

• Hands-on contribution to antibody design computational pipelines (Whichmab/MOO) with real drug discovery impact

• Exposure to AI-native workflow design

• Mentorship from both software engineers and computational biologists, giving you a cross-disciplinary foundation for a career at the intersection of biology and data engineering

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.