Discovery Data Scientist

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.

Organization Overview:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Primary Responsibilities:

• This position will combine deep biological understanding with strong analytical skills to lead analysis projects in support of the development of an siRNA platform and target projects.
• Implement translational strategies to characterize and optimize candidate properties of therapies in early development. This will include identifying the most impactful physicochemical properties and chemistry modifications that influence the in-vivo response. Furthermore, determining the impact of these chemistries on including intrinsic potency vs increased exposure, distribution, and stability
• Responsible for quantitative data analysis to characterize the exposure and safety/efficacy relationship across different species in the development process. In addition, you will be developing causal models to explain the impact of time between administration, mRNA reductions, Protein reductions and behavioral responses.
• Support the development of imaging endpoints that determine distribution, exposure, and potency within a single image. Combine and correlate with higher throughput assays to provide recommendations for future workflows
• Work collaboratively with each specialized functional team to understand the intricacies of the assays (e.g. genomics, proteomics, mass spec, histology) and ensure fit-for-purpose analyses are produced

Basic Qualifications

• PhD, or MS degree in a life sciences field, or a relavent field of study with 4+ years of relavent experience, or BSc with 10+ years of relavent experience.

Additional Skills/Preferences

• Previous industry experience
• Good understanding of statistical methodologies such as mixed effects models, Bayesian inference, random forests/gradient boosting
• Deep biological understanding of mechanisms of action, disease/disorder progression related to neurodegeneration and/or pain
• Creative and critical thinking skills to solve difficult technical problems
• Capable of working independently yet within a matrix organization
• Ability to work on multiple concurrent projects and deliver the results by timelines
• Ability to adapt and exercise flexibility for changing needs, workflows and projects
• Knowledge of RNA chemistry, experience in RNAi discovery, especially in siRNA design
• Extensive programming experience with R, Python and Javascript
• Experience working with Cloud (AWS) and High-Performance Computing

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).