Research Scientist-Data Sciences/Machine Learning
Full time @Eli Lilly in Pharmaceuticals Shortlist Email JobJob Detail
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Job ID 3197
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Career Level Others
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Experience 2 Years
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Qualifications Medical
Job Description
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.
It is an exciting time to join Lilly. The Lilly Biotechnology Discovery Research center at San Diego is growing in key areas. Our research focuses on discovering innovative biotherapeutic medicines for unmet patient’s needs, by applying cutting-edge protein discovery and development technologies.
We are seeking an outstanding data scientist with machine learning expertise, to join our journey of digital pharma transformation R&D by tapping into our extensive biologics experimental databases to develop complex machine learning and virtual screening solutions to accelerate biotherapeutics discovery and development. Embedded in computational biology group for large molecule research, in this role, you will:
- Apply advanced data analytics skills to extract new knowledge and to bring disruptive insights from our large and multi-parametric datasets, generated by industry-leading discovery and screening platforms, including NGS sequence data, high-throughput experimental screening data, as well as computational data, housed in Lilly’s proprietary biologics databases.
- Devise and utilize algorithms to mine big data; analyze data for trends and patterns and interpret data with a clear objective in mind.
- Communicate analytic solutions to partners and implement improvements as needed.
- Interact with antibody discovery, engineering, and protein bioscience groups, participate team meetings and translate insights to impact experimental design, process design and prioritization.
- Follow the latest advances in the field, raise awareness, and influence the introduction of novel and state-of-the-art computational techniques
- Implement predictive analytical models into production for broader and repeated use, by collaborating with Information Technology colleagues.
- Work in a highly collaborative environment at the Lilly Biotech Center at San Diego, including protein engineers, protein chemists, biologists, bioinformatician, statistician, as well as surrounding academic community.
This role will be embedded in Lilly’s Medicines Innovation Hub (MIH), which serves as leading-edge scientific unit working across all disease areas to identify and develop quality targets, hits, leads, and drug candidates.
Basic Qualifications
- Ph.D. degree in data science, statistics, computational biology, applied mathematics, or related subject area required.
Additional Skills/Preferences
- Advanced understanding and practical experience with developing and applying data science techniques (such as machine and deep learning) on DNA/protein sequences and biological datasets.
- Confident in working with databases, data curation, and data mining; solid background in statistical analysis.
- Excellent programmer with R or Python, preferably in Unix and high-performance computing environment.
- Ability to work both independently and in cross-functional teams.
- Comfort working in a dynamic, research-oriented group and interdisciplinary area.
- Quick learner and passionate about continually adapting your skills and knowledge.
- Able to interpret and translate the very abstract and technical approaches.
- Strong teammate and work effectively in a collaborative, fast-paced, multi-tasking environment.
- Knowledge in the use of AI a plus.
- Experience of modeling in the area of biomedical sciences
- Familiarity with protein, biology, engineering concepts relevant to drug process development.
- Ability to effectively communicate both written and verbal.
- Ability to partner and successfully gain collaboration across all levels of the organization.
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 ( Lilly_Recruiting_Compliance@lists.lilly.com ) 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.