LRL Tech (Clinical Tech Lead)

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.

As a Technical Lead for Automation & AI in Clinical Domain, you will be responsible for architecting and delivering Automation & AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with business stakeholders to understand business requirements and design custom AI solutions that address complex challenges. You will have the opportunity to accelerate the AI adoption across the business landscape in the Statistical Applications and Data. You will be responsible for successfully defining and leading AI use cases in clinical projects from start-up through close-out, including protocol development, site management, and data review. To be successful, you must be a strong programmer, proficient at thoroughly develop AI solutions and coach/mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes.

Key Responsibilities:

• Collaborate with Clinical stakeholders to understand their business needs and challenges, design and architect AI solutions ensuring scalability, reliability, and performance.
• Build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
• Demonstrate deep knowledge and expertise in foundational and large language models, as well as related AI technologies and frameworks.
• Identify potential challenges, constraints, and opportunities for innovation in Clinical space to provide recommendations and propose effective solutions.
• Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
• Define best AI/ML driven practices and AI lifecycle
• Work across functions to develop and architect AI solutions using NLU, ML, and AI.
• Design, build, and deploy predictive models and statistical analyses to solve business problems and optimize processes.
• Conduct thorough testing and validation of models to ensure accuracy, reliability, and scalability.
• Accelerate the delivery of AI use cases in collaboration with the other AI teams to deliver the highest business impact use cases.
• Develop, improve, and carry out plans for using AI and its effects, along with finding new ideas and partnerships to help.
• Choose the right AI tools and models for the job and build and train them using Python and other free technologies.
• Collaborate with different teams to create AI solutions that can generate new content using language understanding and machine learning.
• Provide technical guidance and mentorship to junior team members, and actively participate in knowledge sharing activities.

Required Technical Skills:

• Bachelor’s degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy, clinical background (e.g., MD - Doctor of Medicine OR RN - Registered Nurse) Advanced degree (e.g., Master’s or Ph.D.) in Data Science, AI/ML
• Overall experience of 7-9 years with minimum of 3-5 years of experience in clinical research, with a focus on managing clinical trials in a pharmaceutical, biotechnology, or contract research organization (CRO) setting. Minimum of 3-5 years of experience in AI research and development, with a focus on healthcare or life sciences applications
• Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations.
• Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable.
• Ability to understand customer needs and business objectives in Pharmaceutical domain preferably Clinical. Experience in working closely with clinical Statisticians/Study Builder/ Study Designers and translating their requirements into effective AI solutions.
• Strong programming skills, with proficiency in Python, R and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus.
• Experience working with large datasets and performing data pre-processing, feature engineering, and model evaluation.
• Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions.
• Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
• Demonstrate a growth mindset to understand business processes and challenges

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.

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