Clinical Research Data Analyst
Requirements and responsibilities 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.