Bioinformatics 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 Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of diabetes, obesity and associated complications.

The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation obesity therapeutics.

Specifically, we are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from clinical trials on cloud based clinical multi-omics platforms.

Would you like to be involved in groundbreaking drug discovery? Apply today to join the Lilly Team!

You will operate as part of a team of DOCTA early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists to :

• Work with bench scientists to develop experimental hypotheses and help design computational pipelines
• Analyze high throughput molecular readouts including proteomics, RNAseq, single cell and spatial platforms and contribute to data interpretation and biological conclusions
• Help building databases and visualizations using internal and external datasets
• Manage and automate storing and integrating multi-omics data into databases hosted in the cloud
• Contribute to scientific and strategy discussions to advance and improve Lilly Bioinformatics

Basic Requirements :

• Masters degree in biological data analysis and management, bioinformatics, computational biology or similar and at least 1+ years of relevant experience
• Bachelors degree in biological data analysis and management, bioinformatics, computational biology or similar and at least 2+ years of relevant experience

Additional Skills / Preferences :

• Familiarity with Linux shell scripting and other commonly used programming languages
• Experience working with high performance computing in a distributed / cloud environments
• Demonstrable analysis experience with omics or relevant datasets
• Strong written and verbal communication skills
• Software development standard processes, including agile, version control, unit and integration testing, documentation, and deployment
• Familiarity with AI / ML model development and applications
• Experience with software and data architecture engineering
• Ability to manage multiple concurrent, fast-paced projects and to work with collaborators from both wet lab and dry lab

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