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 Biotechnology Discovery Research Division in San Diego plays a crucial role in generating, characterizing, and optimizing biotherapeutics from hit generation through lead optimization and preclinical development. We support cross-disciplinary efforts to engineer innovative biotherapeutics that treat metabolic, autoimmune, oncologic, and neurologic diseases.

We are seeking a self-motivated, collaborative Data Scientist to join the growing team. In this role, you will utilize your data analytics expertise to analyze multi-dimensional data generated from our high-throughput experimentation labs. Your insights will significantly impact decision-making, aiding the rapid discovery and optimization of novel therapeutic proteins.

Responsibilities

• Curate and organize diverse data types, including activity/function, structure-activity relationship, biophysical characterizations, sequences, concerning both structured and unstructured data.

• Utilize statistical models and machine learning algorithms to identify patterns and trends relevant to antibody discovery and protein and peptide engineering.

• Effectively communicate data insights to project teams and stakeholders.

• Partner with experimental scientists to guide the design of data generation and data capture strategies, aligned with ML objectives.

• Maintain close collaboration with internal IT professionals to ensure seamless integration of data science solutions.

• Keep abreast of the latest trends and technologies in data science. Proactively initiate efforts that contribute to organizational goals.

• Actively engage in the external environment and contribute to the field through scientific publications and presentations.

Basic qualifications

• PhD degree, or Master degree with at least 3 years relevant experience, in computational biology, computer science, bioinformatics, or a related discipline.

• Experience in programming languages/tools (Python, R, etc).

Preferred qualifications:

• At least 3 years of experience in data science and advanced analytics for antibody discovery and protein engineering is highly desirable.

• Demonstrated success in applying data science to therapeutic protein applications, as evidenced by a strong publication record.

• Proficiency in data curation, data processing, database programming, and data mining.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Excellent written and oral communication skills, including an ability to explain complex ideas to scientists with diverse backgrounds.

• Strong collaborative skills and proven ability to work with cross-functional teams.

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.
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