Bioinformatics and Computational Scientist

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.

The Computational and Bioinformatics Group within ADME-Tox applies innovative approaches to accelerate next-generation medicines for unmet medical needs. We drive innovation by integrating bioinformatics, automation, and ML/AI into actionable solutions to speed up discovery and mitigate toxicity. We seek a dedicated and collaborative senior bioinformatician to join our group in Indianapolis, Indiana. As a core team member, you will develop novel solutions to tackle challenging problems in a multidisciplinary team setting.

What we are looking for:

• A skilled and creative scientist to play a vital role in our mission to provide innovative medicines.
• A candidate with the ability to build and use advanced informatic tools and strategies to generate and analyze complex multidimensional data sets. This work will primarily support early drug discovery efforts but will also be aimed at developing a deeper understanding of preclinical to clinical translation.
• Strong communication skills with the ability to engage with key partners, to develop and implement novel bioinformatic and computational tools in drug discovery. This includes contributing to project teams and acting as a senior scientific consultant.
• A senior, accomplished leader that will spearhead internal and external collaborations to develop innovative strategies that impact drug discovery.

Responsibilities:

• Applying statistical methods to interpret structural and biological data, including hypothesis testing, regression analysis, and machine learning algorithms to identify patterns and relationships within complex preclinical ADME and Toxicology datasets.
• Designing and building customized data analysis pipelines to efficiently process and analyze large-scale biological datasets, which may be broadly applied to other areas.
• Apply AI/ML tools and generative AI models and integrate findings with existing knowledge to advance translational sciences.
• Collaborate closely with project teams to influence experimental design, assay development, data generation and analysis.
• Independently design and implement research projects in areas with unmet needs.
• Prepare and present technical and scientific reports for both internal and external audiences.
• Provide guidance and training to junior scientists on data analysis techniques, software usage, and standard processes.

Technical/Functional Expertise:

• Proficiency in programming languages commonly used in bioinformatics like Python, and R.
• Expertise in statistical methods including linear regression and multivariate analysis.
• Experience working with cloud (AWS) and/or high-performance computing environments.
• Experienced in pathology data outputs, large-scale omics, high-throughput data analysis, network analysis, meta-analyses and AI/ML models for discovery and translational research.
• Proficient in developing data strategies and integrating complex datasets.
• Effective communication and project management skills.

Minimum Requirements:

• PhD degree with 7+ years relevant experience in pharma bioinformatics

Additional Skills/Preferences:

• Strong background in using complex large scale data sets in the pharmaceutical sector.
• Experience in the drug discovery and development process.
• Strong problem-solving skills and ability to troubleshoot technical issues.

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 ( ) 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

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.