Lilly Scientist/Sr. Scientist Computational Biology in New York, United States
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.
Prevail Therapeutics is a wholly owned subsidiary of Eli Lilly and Company and is based in New York City. We are leaders in developing gene therapies for Parkinson’s disease, dementias and other genetically defined neurodegenerative diseases.
We are seeking a Computational Biologist (Genomics) to help design and engineer our next generation of gene therapy products. This role will use computational genomics to address challenges in gene therapy, genome editing and neurodegeneration. You should have a strong understanding of human population genetics, comparative sequence analyses and NGS technologies.
You will experience broad interactions across Prevail’s R&D organization and report to the head of the Quantitative Sciences group.
We seek an entrepreneurial and self-motivated candidate who can function with a high degree of independence and work collaboratively within a multidisciplinary team that is dedicated to the development of new therapies for neurodegenerative diseases.
Design optimal gene therapy (CDS optimization, promoter and shRNA designs) and genome editing approached based on comparative genomics.
Analyze data from genome editing and siRNA KD therapeutics through off target predictions and experimental data analyses.
Use computational techniques to interrogate high throughout data (WGS, sc and bulk RNAseq, ChipSeq) and answer biological questions in neuroscience
Document code, analyses and streamline workflows
Work on NGS approaches (e.g long read sequencing) for characterization of packaged AAV genomes and support product and analytical development.
- Ph.D. in genetics or computational biology; post PhD experience desired but not essential
Proficiency Programming Experience in R, python or equivalent
Strong scientific background including an understanding of molecular biology, genomics.
Experience in NGS analyses – WES/WGS or Chip-seq or long-read sequencing.
A strong publication record or relevant work experience.
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