Senior Research Scientist AADS (Advanced Analytics and Data Sciences)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

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 35,000 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 39,000 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.

Senior Research Scientist AADS (Advanced Analytics and Data Sciences)

Eli Lilly and Company is seeking a Senior Research Scientist AADS to join our team in Indianapolis, IN.

Serve as a member of Lilly Advanced Analytics and Data Sciences organization to support the entire Lilly enterprise, from Discovery through Development to Manufacturing and Commercialization of our medicines. Partner with key business partners and work within team to identify, scope, and execute analytic efforts that answer business questions, solve business needs, and add business value. Collaborate with scientific teams on digital biomarker (dBM) and digital health (DH) device development. Responsible for the design, analysis and reporting of dBM and DH studies: define the quantitative and analyzable study endpoints that are used to establish if the primary, secondary, and exploratory objectives of a study are met; provide quantitative design justification, including power analysis, statistical simulation, of study aspects, including sample size, duration, and key endpoints; leverage expertise in statistics and AI/ML to lead the development of statistical analysis plans and AI/ML analysis approaches for the studies; develop computer programs in R and Python to implement the planned statistical and AI/ML analyses; report and interpret quantitative study results through slides, journal articles, and internal technical reports; and develop algorithms based on data gathered by digital biomarker devices or digital health apps. Maintain a broad understanding of question and be fully engaged with teams to facilitate decisions grounded in data. Collaborate with other analytics team members to review and provide feedback on the analytics work being done and seek feedback from other team members. Stay current with respect to machine learning, statistical, mathematical and informatics modeling methodology to maintain proficiency in applying new and varied methods, Maintain competency in justifying methods selected. Present on AI/ML technical topics at internal seminars to audiences with AI/ML background. Reports to Lilly Corporate Center, Indianapolis, IN 46285. Telecommuting permitted. Must reside in the Indianapolis Metro Area. 5% travel required to professional conferences or other Lilly sites. Full time (40 hours/week). To apply, submit resume via and cite the relevant job title and req. number R-33160.

Job Requirements

• Position requires a Ph.D. in Statistics, Computer Science, Biostatistics or related quantitative field.

Academic or work experience must have included:

• Analytics-oriented programming languages, including Python/R and experience with low level languages, including C/C++;
• Research experience in causal inference;
• Research experience in reinforcement learning, deep learning, or general machine learning algorithms;
• Communicating complex statistical and machine learning methods, results, interpretation to technical and non-technical audiences through journal publications, conferences presentations and posters, and seminars; and 
• Collaborative projects with scientific investigators from medical fields (e.g. human or animal health) that required justification of study design (e.g. sample size), performing statistical analysis, and reporting of results.

Lilly is an EEO/Affirmative Action Employer and 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.

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 is an EEO/Affirmative Action Employer and 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.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).