Biologist (3-5 years)

Job Title

Come join the Cardiometabolic Research (CMR) team at Eli Lilly! We are focused on the discovery and early phase clinical development of biologic, small molecule, oligonucleotide, and cell therapies for treatment of diabetes, obesity, cardiovascular disease, and associated metabolic disorders.

The Data Science team within CMR is seeking someone with wide-ranging experience in next-generation sequencing library preparation to help achieve our research goals. The successful candidate will be responsible for RNA-seq, scRNA-seq, snRNA-seq, and other types of -seq library preparations for all CMR groups. This will be a cross-therapeutic area role encompassing opportunities to impact science in the Boston team.

Responsibilities include:

• Conduct experiments to identify and validate drug targets.
• Support assay design, optimization, validation, and data analyses.
• Design and execute molecular and cell biology experiments.
• Troubleshoot and analyze complex data in support of drug discovery projects.
• Presentation of results and conclusions both orally and written.

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.

Being on a temporary contractor assignment at Lilly means working in an innovative culture where you have the opportunity to support the work of thousands of others around the globe dedicated to improving the lives of others. Lilly discovers and brings life-changing medicines to those who need them, improves the understanding and management of disease, and gives back to communities through philanthropy and volunteerism. Eli Lilly passionately promotes food security and fosters the human-animal bond to enrich the lives of its customers and the customers they serve as well.

Our values: integrity, excellence, respect for people. Greater than 90% of workers rate their Lilly assignment as above average or excellent.