Job Title: Computational Infrastructure Scientist – Biological Data Systems
Location: Indianapolis, Indiana / [Other Location – if applicable], United States
Category: Research & Development / Computational Biology / Bioinformatics
Job Type: Full-Time, Regular
Job ID: R-96420
Company Overview:
Lilly is a global healthcare leader headquartered in Indianapolis, Indiana, committed to discovering and delivering life-changing medicines worldwide. Our multidisciplinary teams advance disease understanding, patient care, and translational science while contributing to communities through philanthropy and volunteerism.
Role Overview:
The Computational Infrastructure Scientist will design, develop, and extend data systems that support large-scale biological and genetic research, enabling precision medicine and advanced drug discovery. This role bridges biology, bioinformatics, and software engineering, providing scalable, reproducible, and metadata-rich infrastructure for diverse biological datasets.
Key Responsibilities:
1. Data Infrastructure & Architecture:
Develop and extend data models and ontologies to harmonize heterogeneous biological, genetic, and clinical data.
Design scalable data ingestion, transformation, and standardization pipelines for genomic and functional datasets.
Build frameworks for semantic interoperability, reproducible workflows, and metadata-rich data exchange.
2. Scientific Workflows & Analysis:
Strategize and implement scientific data processing workflows to generate actionable insights.
Develop cloud-based workflows, APIs, and ETL systems to enable efficient access and analysis across datasets.
Support computational biology, genomics, and functional analysis for drug discovery projects.
3. Collaboration & Knowledge Sharing:
Partner with domain scientists, bioinformaticians, and computational engineers to translate biological questions into computational frameworks.
Document and communicate design decisions to promote reuse and institutional knowledge.
Contribute to open data standards and knowledge representation initiatives in life sciences.
Minimum Qualifications:
Ph.D. in Computational Biology, Bioinformatics, Chemistry, or a related scientific field.
Preferred Skills & Competencies:
Strong programming skills in Python; familiarity with R.
Proficiency in Linux environments, Git, and PostgreSQL.
Experience with cloud computing platforms (e.g., AWS S3, EC2) and workflow managers such as NextFlow.
Knowledge of biological databases, ontologies, metadata systems, and containerized environments (Docker).
Ability to work independently on open-ended computational problems with strong communication and documentation skills.
Experience developing data-driven analytical tools, web APIs, or decision-support applications is a plus.
Work Environment & Additional Information:
Full-time position at Indianapolis, Indiana, with cross-functional collaboration across discovery and research teams.
Opportunity to shape the computational backbone of large-scale biological and genomic research pipelines.
Compensation & Benefits:
Salary range: $151,500 – $244,200 depending on experience and education.
Eligibility for company bonus based on performance.
Comprehensive benefits including 401(k), pension, medical, dental, vision, flexible spending accounts, life insurance, paid leave, wellness programs, and employee engagement activities.
Equal Opportunity & Inclusion:
Lilly is an EEO employer and ensures equal opportunities regardless of age, race, color, religion, gender identity, sexual orientation, disability, or other legally protected status. Lilly supports individuals with disabilities to participate fully in the workforce.
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