Research Associate (In-vitro Biology

We are seeking an External Screening & In Vitro Biology Associate to support external screening programs, plate-based assay workflows, scientific data operations, and CRO/vendor coordination.

This role will work closely with internal scientists, cross-functional teams, and external research partners to ensure screening requests are executed efficiently and that high-quality, accurate data is delivered on time.

• Manage and maintain external screening data, vendor portals, project records, and screening repositories
  .
• Process screening requests and review, validate, QC, format, and distribute screening data to internal scientists.
• Coordinate with CROs and external vendors to track screening requests, deliverables, timelines, and data issues.
• Support plate-based in vitro screening and assay transfer activities by organizing protocols, assay data, controls, and supporting documentation.
• Load and publish screening data using standardized templates and data-loading tools.
• Maintain vendor profiles, project information, screening protocols, and reference/control compound lists.
• Coordinate registration of new control/reference compounds when needed.
• Ensure data handling, documentation, and workflows follow established standards and are audit-ready.
• Collaborate with scientists and stakeholders to troubleshoot workflow and data-related issues.
• Support process improvements and additional screening/data operations activities as business needs evolve.

• Bachelor's degree in Biology or a related scientific discipline.
• Experience with scientific data workflows, data management, and data QC in a research, pharmaceutical, biotech, or screening environment.
• Experience with in vitro biology, pharmacology, high-throughput screening, or plate-based assay workflows preferred.
• Experience working with CROs, vendors, or external research partners is a plus.
• Strong attention to detail and ability to manage multiple projects and priorities.
• Strong organizational, communication, problem-solving, and documentation skills.
• Comfortable working in a fast-paced, cross-functional research environment
  .
• Ability to learn new scientific systems, data tools, and workflows quickly.