Chemistry Informatics Platform Lead (ELN)

Cognizant; Richmond (VA); 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 + Paid Time Off

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Scientific Informatics Lead to drive ELN and scientific data management across discovery and chemistry functions. You will partner with scientists and informatics teams to translate workflows into scalable platform capabilities and provide leadership across configuration, testing, deployment, and support.

The ideal candidate will have deep chemistry domain expertise and hands-on experience with Dotmatics Chemistry/ELN or similar platforms, plus familiarity with Python,

Qualifications

• Strong domain expertise in medicinal chemistry, synthetic chemistry, process chemistry, chemical development, or discovery research.
• Hands-on experience with Dotmatics Chemistry/ELN or comparable chemistry-focused ELN and scientific informatics platforms.
• Strong understanding of experiment and reaction capture, chemical structures, compound registration, stoichiometry, analytical results, inventory management, and scientific 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 laboratory informatics 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 highly desirable.
• Bachelor’s, Master’s, or Doctoral degree in Chemistry, Pharmaceutical Sciences, Life Sciences, Computer Science, Engineering, or a related discipline.

Responsibilities

• Lead requirements discovery for chemistry experiments, reactions, compounds, samples, inventory management, and scientific reporting processes.
• Translate medicinal, synthetic, process, and discovery chemistry workflows into user stories, functional specifications, data mappings, and acceptance criteria.
• Provide senior oversight for ELN configuration, workflow design, platform enhancements, testing, deployment readiness, defect resolution, and user support.
• Design and optimize workflows supporting experiment capture, reaction management, chemical structures, stoichiometry calculations, compound registration, and inventory tracking.
• Guide integrations with compound registration systems, inventory platforms, assay systems, analytical applications, laboratory 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 teams, 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 effectively support chemistry research and development objectives.

Skills

Medicinal chemistry

Synthetic chemistry

Process chemistry

Chemical development

Dotmatics ELN

Python

SQL

REST APIs

Data governance

Requirements gathering

Education

Chemistry or related discipline

Tools

Dotmatics ELN

Signals Notebook

BIOVIA ELN

IDBS

Benchling

PerkinElmer ELN

Job description

Cognizant is seeking a Scientific Informatics Lead to drive ELN and scientific data management across discovery and chemistry functions. You will partner with scientists and informatics teams to translate workflows into scalable platform capabilities and provide leadership across configuration, testing, deployment, and support.

The ideal candidate will have deep chemistry domain expertise and hands-on experience with Dotmatics Chemistry/ELN or similar platforms, plus familiarity with Python,