Assoc. Dir Computational Biology in New York

Job Description

Join American pharmaceutical leader Eli Lilly and Company, currently hiring Assoc. Dir Computational Biology in New York, Apply Lilly careers in New York New York.


Position : Assoc. Dir Computational Biology

Location : New York, New York

Job id: R-27015


Job Details

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.Position SummaryWe are seeking a Assoc. Director of Computational Biology (Genomics) to lead the design and engineering of our next generation of gene therapy products. The ideal candidate 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.Key ResponsibilitiesLead/manage Prevail’s computational biology team.Provide scientific leadership in designing gene therapy vectors, (CDS optimization, promoter and shRNA designs) and genome editing approaches based on comparative genomics.Implement scalable NGS pipelines (guide seq, RNA/scRNAseq, long read sequencing etc..) lead analysis of data from candidate therapeutic experiments.Use computational techniques to interrogate high throughout data (WGS, sc and bulk RNAseq, ChipSeq) that address biological questions in neuroscience and generate testable hypotheses.Document code, analyses and streamline workflowsRequirementsPh.D. in genetics or computational biology; min 3-5 years experience in advancing research in collaborative projects (preferably in a biotech setting).Additional PreferencesProficiency Programming Experience in R, python or equivalentStrong scientific background including an understanding of molecular biology, genomics.Experience in NGS analyses – WES/WGS or Chip-seq or long-read sequencing.Experience managing other scientists/ engineers.A strong publication record or relevant work experience.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 ( ) 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).



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