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, Synthetic Molecule Design and Development (SMDD) is involved in key activities for the development of synthetic drug substances and drug products starting with pre-clinical phases through commercialization. Our scientists and engineers develop innovative technical and business solutions across a portfolio of projects using their deep technical expertise to accelerate testing of the clinical hypothesis and overall drug development. Through recognizing the value of a hardworking and culturally diverse workforce, SMDD delivers on these responsibilities and helps bring the next generation of life changing medicines to patients.
The data sciences group within SMDD is a cross-functional team of chemists, engineers, and computational chemists with a broad range of computational modeling and data science capabilities complemented by engineering and synthetic organic chemistry competencies. This group drives innovation by integrating computational modeling, automation, data sciences, and data rich experimentation into business practices, so as to more efficiently design and optimize products and product syntheses, connect scientists to data, and navigate risk throughout the drug development lifecycle.
As a core member of the team, the CMC Data Scientist will transform information captured within legacy systems into an ecosystem that allows for value-added insights and actionable business decisions. Candidates must demonstrate a history of strong technical depth, a broad base of modeling and information technology skills, scientific leadership and a willingness to promote a collaborative, team-based approach to problem solving. Specifically, the candidate will have experience in the following areas:
Experience in working with different data types and source systems
Experience interfacing with databases to enable extracting relevant data to address business questions
Experience in statistics/machine learning techniques to be able to use the right tool for the right question
Ability to merge strong technical depth with technologies in big data to stimulate new hypotheses, workplans, and solutions
Ability to communicate the results of analysis in an effective manner to stakeholders to drive action
The CMC Data Scientist is responsible for:
Evaluating, designing, and developing information management strategies within the construct of high-performing process development teams
Working closely with project leaders, stakeholders, and peers to deliver information management solutions with strong portfolio impact
Building decision support tools, templates, dashboards for high frequency decisions that can leverage analytics
Developing and applying tools/algorithms to mine patterns in existing data to create a recommendation on future questions to consider
Engaging/contributing technical domain knowledge to help advance portfolio
Supporting existing automation processes and equipment
Striving to challenge existing methods and applying groundbreaking technology within a time constrained environment
Leading boldly in the presence of scientific uncertainty and translating hypotheses into action
Encouraging team members to take initiative, share knowledge, and be accountable to achieve goals.
Actively engaging in the external environment and contributing to the field through scientific publications and presentations
At least 2 years experience in data integration or a degree in a quantitative discipline such as statistics, computer science, data science or engineering, or operations research
Experience in programming in scripting languages including but not limited to R, Python
Experience in working with varied data types (structured and unstructured) and databases
Basic knowledge of statistics/machine learning tools and ability to apply to project needs
Proficiency in Microsoft products (Excel, Access, Word, PowerPoint, VBA, PowerBI)
Experience with data integration and visualization tools (e.g. PowerBI, Spotfire)
Familiarity with organic chemistry, chemical synthesis, and route design
Familiarity with online and offline analytical techniques and process analytical technologies (PAT)
Familiarity with unit operation design, process modeling, process equipment selection, data rich experiments, PAT utilization in the laboratory and production facilities, and scale-up methodologies
Demonstrated ability to work with cross-functional teams in a fast-paced environment
Demonstrated ability to inspire change
Ability to prioritize multiple activities and handle ambiguity
Ability to influence others to promote a positive work environment
Demonstrated technical proficiency in computation, modeling, and/or data science
Established external publication record
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.
Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.