Research Scientist-Computational Biology

We recently launched the Novel Target Hub (NTH) in the Lilly Innovation Center in Cambridge, MA. The purpose of the Cambridge Innovation Center (CIC) is to capitalize on the unique innovation climate in order to accelerate innovation of medicines and associated product systems. The NTH will expand CIC capabilities to include the identification and validation of the next wave of therapeutic targets to help people live longer, healthier, more active lives. The NTH will provide nimble experimental and analytical capabilities that achieve scalable target discovery and validation across internal efforts and external academic and industry partnerships in a therapeutic area-agnostic fashion.

This is an exciting opportunity to help build an industry-leading discovery group. We are looking for a highly motivated data scientist to help establish the hub's informatics capabilities. The ideal candidate will have a proven record of utilizing cutting-edge computational approaches to uncover novel biological insights. You will have demonstrated an ability to perform wet lab experiments to generate large data sets for analysis, as well as to follow up informatics-based hypotheses. Have you generated and leveraged large ‘omic data sets to formulate novel target hypotheses? If you are passionate about scientific exploration oriented towards discovering new therapeutic opportunities to improve patients' lives, please consider this excellent chance to help build the Novel Target Hub.
Key Responsibilities

• Establish computational capabilities in the Novel Target Hub, including implementing analysis pipelines for analyzing functional genomics screens and single cell profiling data, and visualization to empower biologists across the organization to query the data.
• Collaborate with cross-functional teams comprised of scientists from discovery research to propose novel targets supporting our early drug discovery strategies through analyses of functional genomics screens and external and internal genomics data.
• Propose, initiate, and implement computational strategies supporting target identification, prioritization and validation.
• Collaborate with the Lilly informatics community to share learnings about data analysis methods, automated workflow solutions, and database creation

Company Overview

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 39,000 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.

Basic Qualifications

• PhD degree in Computational Biology, Bioinformatics, or related discipline.

Additional Information

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.

Additional Skills/Preferences

• Track record of innovative discovery work, reflected by high-impact publications
• Demonstrated ability to collaborate within diverse, multidisciplinary teams.
• Experience in developing computational approaches to analyzing new data types, e.g., single cell profiling.
• Expertise in managing, processing and analyzing data from one or more NGS platforms such as whole genome sequencing, exome sequencing, RNA-seq, single cell sequencing, ATAC-seq, ChIP-seq.
• Expertise with publicly and commercially available bioinformatics tools for NGS analysis and genetics and genomics databases.
• Significant programming experience with scripting languages such as Python, Perl, or R, and associated bioinformatics packages.
• Experience with high performance cluster computing queuing systems such as SGE or condor.
• Excellent verbal, written and presentation skills