Chemistry ELN Lead & Scientific Informatics Architect

Cognizant; Austin (TX); On-site; USD 132,000 - 155,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life

401(k)

PTO & Holidays

Disability Insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant in Austin, TX is seeking a Scientific Informatics Lead to steer chemistry-focused ELN and data management platforms across discovery and development. You will translate complex chemistry workflows into scalable capabilities and provide end-to-end ownership of requirements, configuration, testing, deployment, and support.

Ideal candidates bring deep medicinal and synthetic chemistry knowledge, hands-on ELN platform experience (Dotmatics or similar), and a track record of leading

Qualifications

• Strong domain experience in medicinal chemistry, synthetic chemistry, process chemistry, chemical development, or discovery research.
• Hands-on experience with Dotmatics Chemistry/ELN or a comparable chemistry-focused informatics platform.
• Experience gathering requirements, configuring scientific workflows, conducting functional testing, supporting defect triage, and managing controlled releases.
• Proven ability to provide platform leadership, solution oversight, and stakeholder guidance beyond basic ELN end-user responsibilities.
• Experience with Signals Notebook, BIOVIA ELN, IDBS, Benchling, PerkinElmer ELN, or similar platforms is preferred.
• Familiarity with Python, SQL, REST APIs, scientific data integrations, platform migrations, and reporting is desirable.
• Experience supporting pharmaceutical R&D, life sciences, laboratory informatics, or regulated research environments is preferred.
• 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, analytical results, and scientific reporting.
• 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, defect resolution, and user support.
• Design and optimize experiment and reaction capture, chemical structure management, stoichiometry, compound registration, and data traceability workflows.
• Guide integrations with compound registration, inventory, assay, analytical, laboratory instrument, and downstream scientific data systems.
• Lead migration, data validation, reporting, and integration activities associated with chemistry-focused ELN platforms.
• Coordinate chemists, scientific informatics teams, validation, security, infrastructure, product owners, and technology vendors.
• Develop and maintain SOPs, training materials, test evidence, release notes, workflow documentation, and operational procedures.
• Ensure platform enhancements meet scientific, data integrity, security, regulatory, and operational requirements.
• Provide technical and functional leadership beyond standard ELN end-user support, including roadmap planning and continuous platform improvement.

Skills

Medicinal chemistry

Synthetic chemistry

Process chemistry

Chemical development

Scientific informatics

ELN configuration

Stakeholder guidance

Python

SQL

REST APIs

Education

Chemistry or related field

Tools

Dotmatics ELN

Signals Notebook

BIOVIA ELN

IDBS

Benchling

PerkinElmer ELN

Job description

Cognizant in Austin, TX is seeking a Scientific Informatics Lead to steer chemistry-focused ELN and data management platforms across discovery and development. You will translate complex chemistry workflows into scalable capabilities and provide end-to-end ownership of requirements, configuration, testing, deployment, and support.

Ideal candidates bring deep medicinal and synthetic chemistry knowledge, hands-on ELN platform experience (Dotmatics or similar), and a track record of leading