Clinical Research Data Analyst

Position Summary

The Clinical Research Data Analyst – Scientific Content & Research is responsible for researching, curating, validating, and analyzing scientific and clinical data from reputable healthcare and life sciences sources. This role supports high-value client products by ensuring that scientific content, conference records, journal publications, and clinical trial data are accurate, structured, and publication-ready.

The ideal candidate is analytical, detail-oriented, and thrives in a fast-paced, collaborative environment. This role requires strong research capabilities, data interpretation skills, and the ability to transform complex scientific information into structured, reliable datasets.

Key Responsibilities

• Research and extract data from peer-reviewed journals, clinical trial registries, conference proceedings, and scientific databases.
• Collect, analyze, abstract, and structure scientific information into standardized formats.
• Maintain and update conference records (monthly) and journal records (annually), ensuring data accuracy and integrity.
• Perform quality assurance checks to validate data consistency and completeness.
• Conduct web-based research including scientific news sources, blogs, forums, and industry publications.
• Analyze published data related to clinical trials and life sciences research.
• Support data mapping, indexing, and source validation activities.
• Contribute to process improvement initiatives to enhance data curation workflows.
• Assist in identifying opportunities for automation to improve operational efficiency.
• Communicate progress, risks, and findings clearly to stakeholders.
• Maintain up-to-date documentation of procedures and workflows.

Required Skills & Competencies

• Strong understanding of clinical research and/or medical affairs.
• Knowledge of scientific publishing processes within biotech or pharmaceutical industries.
• Familiarity with conference schedules, abstract submissions, and publication timelines.
• Solid data mining, curation, and indexing experience using scientific databases.
• Strong analytical thinking and problem-solving capabilities.
• Advanced Microsoft Excel skills (data manipulation, formulas, structured datasets).
• Working knowledge of databases and query languages (e.g., SQL) is preferred.
• Comfortable working with large datasets.
• Strong written and verbal communication skills in English.
• Highly organized with strong attention to detail.
• Ability to work independently and collaboratively across teams and time zones.
• Technically adaptable and quick to learn new systems and tools.

Qualifications

• Bachelor’s degree in Pharmaceutical Sciences, Biomedical Sciences, Molecular Biology, Computer Science, or a related discipline.
• Experience working with scientific literature, clinical trial data, or healthcare databases.
• Proficiency in English (written and spoken).

Work Environment & Expectations

This role requires high accuracy, accountability, and the ability to meet structured deadlines. Responsibilities may evolve over time in alignment with business needs, with appropriate training provided.