SLAS (Society for Laboratory Automation and Screening) · 21 hours ago
Principal Scientist - Data Foundry Scientific Developer
Indiana, United States
Full-time
Onsite
Senior Level, Lead/Staff
$87K/yr - $194K/yr
5+ years expLilly is a global healthcare leader dedicated to improving lives through innovative medicine. They are seeking a Principal Scientist - Data Foundry Scientific Developer to bridge laboratory science and computational innovation, focusing on building data infrastructure and analytical pipelines that enhance scientific discovery.
AssociationBiotechnologyCommunitiesGovernmentInformation Technology
Responsibilities
Design, develop, and maintain data retrieval, cleaning, and processing pipelines for complex scientific datasets
Collaborate with multidisciplinary teams to translate scientific requirements into technical solutions
Implement scalable computational workflows for chemistry and biology research applications
Develop and optimize software tools and automation scripts to enhance research productivity
Ensure data integrity, quality control, and reproducibility across scientific computing systems
Participate in agile development cycles with iterative improvement and rapid prototyping
Document technical processes and provide training support to research teams
Qualification
Required
BS/MS in Chemistry, Biology, Biochemistry, Computational Biology, Cheminformatics, Computer Science or related field with 5+ years scientific programming experience with understanding of experimental data types and workflows
Proficiency in multiple programming languages including Python, RESTful API, Java, C#, and SQL
Strong scientific prototyping/scripting
Preferred
Pharmaceutical and/or Biotech Research Industry Experience
Python Back-end or Web development experience is highly desirable
Hands-on experience with popular cheminformatics systems such as RDKit, Schrödinger Suite, or MOE (Molecular Operating Environment)
Experience of integration of Benchling functions
Experience with scientific data standards and ontologies
Knowledge of cloud computing platforms (AWS, Azure, GCP)
Familiarity with version control systems (Git) and CI/CD practices
Experience with data visualization and analysis tools
Background in machine learning or statistical modeling for scientific applications
Experience with Linux environments and bash scripting
Familiarity with agile methodologies and collaborative development practices
Strong learning agility with willingness to adopt new technologies, languages, and tools to accomplish objectives
Not afraid to step outside comfort zone and learn what's needed to get the job done
Excellent interpersonal and communication skills, with a track record of effective scientist engagement
Benefits
Company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
SLAS (Society for Laboratory Automation and Screening)
SLAS, headquartered in Oak Brook, IL, is a tax exempt organization under section 501 (c) (3) of the United States Internal Revenue Code.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Vicki Loise
CEO
Amy Wilkinson
Director, Global Events and Corporate Partnerships
Recent News
2026-02-02
2025-10-23
Company data provided by crunchbase