Director - Neuroscience Next Generation Therapeutics

Found in: beBee jobs US - 2 weeks ago

Cambridge, Massachusetts, United States Eli Lilly and Company Full time

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 Next Generation Therapeutics (NGTx) team is focused on using novel modalities to deliver medicines for chronic pain and neurodegenerative disorders at speed. With high growth in this field, the Lilly Institute for Genetic Medicines is under construction, which will provide a state-of-the-art facility for the teams dedicated to developing innovative RNA, oligonucleotide, gene and genomic based therapeutic agents.

We are seeking highly motivated and dedicated scientists to join our fast-paced, interdisciplinary team. Scientific curiosity and innovative thinking help to drive our efforts and this could be the perfect role for you. We look forward to seeing your applicationResponsibilities:

Leadership and project management Leading a small group of data scientists, talent supervision/development, setting annual team objectives, day-to-day organization and prioritization of work Effectively communicate strategy, goals and progress to internal and external stakeholders including collaborators, key opinion leaders and partners. Help hire, lead, coach and mentor team members and develop strong relationships and communicate effectively with internal colleagues at all levels. Stats/data handling/computational biology analysis Perform statistical analyses and modelling in collaboration with statisticians to evaluate efficacy, PK and PD of novel treatments Assess the scientific and technical integrity of algorithms and statistical techniques used within the analysis pipeline Data/sample pipeline development/integration/management using FAIR data principles. Develop data pipelines for the rapid automation and analysis of study data Create data structures for the storage, integration and secondary analysis of data Prevent analysis bottlenecks by utilizing high performance computing capabilities Responsible for code management of the team and ensuring research is reproducible Software solutions: image analysis, machine learning and AI Apply machine-learning methods (e.g. deep learning, reinforcement learning, and generative adversarial networks) to biological imaging data to evaluate temporal and spatial effects of novel targets Perform secondary analyses to create additional value from Lilly's data assets, create high quality data visualizations and present research findings to the scientific community Basic Requirements: PhD degree in computer and information sciences, bioinformatics, cheminformatics, computational biology/chemistry with a minimum of 3 years' experience, or PhD in Biology, or life science field with minimum of 4 years' experience in data sciences Additional Preferences: Excellent communication skills and demonstrated efficiency in collaborating across functional boundaries Practical experience in pharmaceutical or biotech industry Experience in RNAi discovery, especially in siRNA design Bioinformatics and omics experience (expression, targets, mapping, models/assays) Postgraduate school experience in one or more of the following areas: bioinformatics, cheminformatics, computational chemistry and machine-learning Demonstrated experience in processing, organizing, analyzing and visualizing complex data and information from disparate sources and ability to extract insight from data Health and research data literacy with the ability to create and curate databases and knowledge graphs for analysis Extensive experience in solving scientific problems using programming languages (R/ Python/ C++) and developing visualizations (e.g. JavaScript and Rshiny or Flask platforms) Extensive experience in data extraction and manipulation (e.g. SQL, GraphQL and Cypher) Experience working with Cloud (AWS) and High-Performance Computing environments (e.g. Kubernetes and grid engine) 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. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups. #WeAreLilly

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