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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.

Connecting Patients and Technology

The **Software and Data Engineer – Digital Health** **located in Indianapolis, IN** role offers a unique opportunity to blend clinical insight, data engineering, and AI innovation to transform how Lilly collects and leverages digital health data. This position is central to building and evolving Lilly’s sensor data platform (Magnol.Ai), developing digital measures, and implementing AI-powered features that enable personalized, real-time insights for clinical trials and healthcare applications.

This role is a core contributor to Lilly’s digital health platform engineering strategy, with responsibilities spanning translational software development, cloud data architecture, and advanced analytics. It also includes project oversight for key external partnerships and vendors, particularly those located in Singapore.

Purpose of the Role

The Software and Data Engineer leads the end-to-end strategy for digital health data acquisition, curation, analysis, and delivery. This includes developing scalable pipelines for multimodal sensor data, creating validated digital measures, and building intelligent platform features. The role bridges data engineering, software systems, and algorithm development to drive innovative digital health solutions that meet clinical, regulatory, and product-grade standards.

Primary Responsibilities

Platform Leadership & Strategy

+ Guide data engineering and algorithm innovation efforts across Digital Health platforms, aligning technology roadmaps with clinical and business goals.

+ Lead a cross-functional team of data engineers and data scientists through mentoring, technical oversight, and collaboration.

+ Drive architectural decisions and infrastructure development to support large-scale sensor data ingestion, processing, and analysis.

+ Oversee project execution across internal teams and external vendor partnerships, ensuring timely delivery of scalable, reliable, and compliant solutions.

System Development and Translational Technology

+ Design and maintain scalable, cloud-native systems for digital health data ingestion, transformation, and archival.

+ Implement monitoring, alerting, and validation tools to ensure data quality, traceability, and compliance with clinical research standards.

+ Develop software components and services that translate sensor-derived physiological signals into clinically relevant, real-time insights.

+ Build reusable frameworks and translational technology tools that support end-to-end digital measure development, from raw signals to regulatory-ready outputs.

+ Continuously improve system performance, efficiency, and maintainability, integrating best practices from both software engineering and biomedical signal processing domains.

Algorithm Development & Translational Modeling

+ Develop and validate algorithms to extract health-related digital measures from wearable sensor data (e.g., activity detection from accelerometers, sleep metrics from EEG/PPG).

+ Convert research-grade models into scalable, production-ready tools integrated into Lilly platforms.

+ Collaborate with clinical and scientific stakeholders to ensure alignment between algorithm outputs and study objectives.

+ Perform model tuning and validation across diverse datasets to ensure generalizability and reliability.

AI Feature Engineering

+ Lead the design and development of AI and LLM-based features on the Magnol.Ai platform.

+ Build intelligent tools for interpreting time-series physiological data and personalizing digital health insights.

+ Apply prompt engineering, generative AI, and contextual modeling to expand platform capabilities and user interfaces.

Technical Expertise & Hands-On Leadership

+ Take ownership of system design, implementation, debugging, and optimization for high-performance platforms.

+ Maintain and enforce engineering best practices in coding, testing, automation, and continuous integration.

+ Stay abreast of new technologies in AI/ML, digital health platforms, and scalable system architecture.

Collaboration & Influence

+ Partner across disciplines—including data scientists, biomedical engineers, clinical teams, and business stakeholders—to translate complex needs into actionable technical solutions.

+ Guide project decisions with sound judgment and strategic vision.

+ Serve as a thought leader on platform architecture, translational technology, and applied AI/ML.

+ Mentor junior engineers and analysts, contributing to a strong engineering culture.

What You Should Bring

+ Demonstrated communication, leadership, and cross-functional collaboration skills.

+ Proven ability to influence technology and business strategy to drive impactful results.

+ Track record of delivering scalable software and data platforms in regulated or high-stakes domains.

+ Experience with cloud platforms (AWS, Azure), Agile practices, and CI/CD methodologies.

+ Strong learning agility, external awareness, and an innovation mindset.

Minimum Qualifications

+ Master degree in Engineering, Computer Science, Analytics, AI, Informatics, or a related field.

+ Minimum 5 years of experience in data engineering, machine learning, or algorithm development.

+ Advanced skills in Python, SQL, and modern data frameworks; experience with ML/DL methods.

+ Project management and stakeholder engagement experience.

+ Working knowledge of cloud architecture and data security principles.

Preferred Qualifications

+ Expertise in time-series analytics and digital health signal processing.

+ Experience developing platform features that support sensor-based clinical measures.

+ Knowledge of generative AI, LLM integration, and prompt engineering.

+ Familiarity with data governance, data standards (e.g., CDISC, FHIR), and regulatory alignment.

+ Ability to lead external partnerships and multi-stakeholder collaborations.

Role Details

+ **Location** : Indianapolis, Indiana

+ **Job Type** : Full Time, hybrid work schedule

+ **Travel** : 0–10%

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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$63,750 - $180,400

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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