Senior ELN & Chemistry Informatics Lead

Cognizant; Madison (WI); On-site; USD 132,000 - 155,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus PTO

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Scientific Informatics Lead to drive chemistry-focused ELN and data management across discovery and development. You will translate workflows into scalable platform capabilities and lead requirements, design, testing, and deployment with cross-disciplinary teams.

Ideal candidates have strong chemistry domain expertise and hands-on ELN platform experience (Dotmatics or equivalents), plus Python, SQL, and REST API familiarity for data integrations and governance.

Qualifications

• Strong domain expertise in medicinal chemistry, synthetic chemistry, process chemistry, or discovery research.
• Hands-on experience with Dotmatics Chemistry/ELN or comparable chemistry-focused informatics platforms.
• Strong understanding of experiment capture, chemical structures, compound registration, stoichiometry, analytical results, inventory management, and data traceability.
• Experience gathering requirements, configuring workflows, supporting functional testing, defect triage, controlled releases, and platform enhancements.
• Proven ability to lead scientific informatics platforms beyond basic end-user support and administration.
• Experience with Signals Notebook, BIOVIA ELN, IDBS, Benchling, PerkinElmer ELN, or similar platforms is preferred.
• Familiarity with Python, SQL, REST APIs, scientific data integrations, migrations, reporting, and data quality management.
• Experience supporting pharmaceutical R&D, life sciences, laboratory informatics, or regulated research environments is desirable.
• Bachelor’s, Master’s, or Doctoral degree in Chemistry, Pharmaceutical Sciences, Life Sciences, Computer Science, Engineering, or related discipline.

Responsibilities

• Lead requirements discovery for chemistry experiments, reactions, compounds, samples, inventory management, and reporting processes.
• Translate chemistry workflows into user stories, functional specifications, data mappings, and acceptance criteria.
• Provide senior oversight for ELN configuration, workflow design, testing, deployment readiness, defect resolution, and user support.
• Design and optimize workflows supporting experiment capture, reaction management, chemical structures, stoichiometry calculations, and inventory tracking.
• Guide integrations with registration systems, inventory platforms, assay systems, analytical applications, instruments, and downstream data repositories.
• Support scientific data governance, traceability, metadata management, reporting, and data quality initiatives.
• Coordinate cross-functional teams including chemists, informatics specialists, validation, infrastructure, security, and product/vendor partners.
• Develop and maintain SOPs, training materials, test evidence, release notes, operational procedures, and platform documentation.
• Support platform modernization, migration, reporting, integration, and continuous improvement initiatives.
• Provide technical and functional leadership to ensure ELN platforms support chemistry R&D objectives.

Skills

Medicinal chemistry knowledge

Chemistry workflow design

Leadership in informatics platforms

Python

SQL

REST APIs

Data governance & traceability

Cross-functional collaboration

Education

Bachelor’s/Master’s/Doctoral in Chemistry or related field

Tools

Dotmatics ELN

Signals Notebook

BIOVIA ELN

IDBS

Benchling

PerkinElmer ELN

Job description

Cognizant is seeking a Scientific Informatics Lead to drive chemistry-focused ELN and data management across discovery and development. You will translate workflows into scalable platform capabilities and lead requirements, design, testing, and deployment with cross-disciplinary teams.

Ideal candidates have strong chemistry domain expertise and hands-on ELN platform experience (Dotmatics or equivalents), plus Python, SQL, and REST API familiarity for data integrations and governance.