Research Data Associate - Drug Discovery

Innovation in computational drug discovery and high-performance molecular simulation requires more than raw data-it demands rigorous data curation, sophisticated metadata management, and flawless execution., * Data Processing & Organization: Process and organize large-scale scientific datasets relevant to drug discovery and development to directly support the machine learning team.

• Data Curation & Provenance: Structure data from diverse sources, catalog metadata to facilitate seamless data discovery, and maintain absolute data provenance.

• Technical Workflow Execution: Utilize Linux environments, Python, and Sql to manage and optimize data pipelines across high-performance computing systems.

• Cross-Functional Collaboration: Serve as a key technical interface, working directly with machine learning engineers, researchers, and scientific leadership.

• Academic Pedigree: Undergraduate Degree in a Stem Field.

• Technical Mastery: Strong command of core technical concepts and tools such as Linux, Python, Sql, Large-Scale Datasets, Metadata Cataloging, and Data Provenance.

• Analytical Precision: Proven track record of handling complex datasets, structuring information from diverse sources, and solving multi-faceted problems in computational research or technology sectors.

• Agile Mindset: Ability to balance rigorous data standards with fast-paced, autonomous execution under pressure.

StaffRight Associates is recruiting for an elite talent for a premier global computational technology and drug discovery firm. We are seeking an exceptional Research Data Associate to join a highly collaborative, intellectually rigorous team where scientific and computational excellence is the standard.

This is a high-impact, two-year position designed for a driven problem-solver who thrives at the intersection of complex scientific datasets, advanced machine learning pipelines, and real-world execution.