Research Associate II, Sample Management

The Opportunity:

We are seeking a highly motivated Research Associate II to support day-to-day laboratory operations within the Sample Management function. This role is ideal for a hands-on laboratory professional who thrives in a fast-paced research environment and takes pride in operational excellence, data integrity, and high-quality execution.

The successful candidate will play a critical role in supporting compound and biological sample workflows, ensuring accurate tracking, storage, and distribution of materials that enable discovery and development programs.

Key responsibilities

• Execute core sample management activities, including sample receipt, accessioning, storage, tracking, retrieval, distribution, and disposal.

• Operate and maintain automated storage systems, LIMS, and supporting laboratory infrastructure.

• Perform routine quality control checks to ensure sample integrity, data accuracy, and system reliability.

• Accurately document all activities in LIMS and associated databases in compliance with SOPs and data integrity standards.

• Troubleshoot routine equipment or process issues and escalate complex problems as needed.

• Support implementation, maintenance, and continuous improvement of SOPs and best practices.

• Partner closely with cross-functional teams to ensure timely and accurate delivery of compounds and samples.

• Assist with onboarding of new technologies, automation platforms, and laboratory systems.

• Contribute to process improvement initiatives to enhance efficiency, scalability, and reliability of sample management workflows.

• Maintain laboratory organization, compliance, and operational readiness.

Required Skills, Experience and Education:

• BS or MS in chemistry, biology, engineering, or related scientific discipline.

• Typically 3+ years of relevant laboratory experience with increasing technical responsibility.

• Proven ability to independently execute and prioritize laboratory workflows.

• Experience troubleshooting laboratory equipment or operational processes.

• Demonstrated contributions to process optimization or workflow improvements.

• Strong commitment to data integrity and operational discipline.

• Clear written and verbal communication skills.

• Proficiency with standard laboratory software and data systems.

Preferred Skills:

• Experience supporting small-molecule drug discovery programs.

• Familiarity with automated compound/sample storage platforms.

• Exposure to laboratory automation systems.

• Experience with Cenevo’s Sample Management Software Mosaic.

• Experience contributing to continuous improvement initiatives.  

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