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Generalist mid-level data analyst in Bangalore with broad skills increases candidate competition.
Clinical/preclinical domain preference increases domain specificity despite transferable data skills.
Explicit minimum experience and clinical data experience required, but no strict certifications listed.
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Ensure accuracy and consistency of clinical and preclinical study data through thorough validation and cleaning processes.
Perform exploratory data analysis, statistical modeling, and trend identification using analytical software tools.
Generate and maintain detailed reports and visualizations to support research objectives and document data processes.
Bachelor’s or Master’s degree in Life Sciences, Data Science, Statistics, or related field.
Minimum 4 years of experience in data management, preferably in clinical or preclinical research.
Proficiency in data analysis tools such as Excel, R, or Python and visualization software.
Work Experience Required: Minimum 4 years in data management; Notice period: Not explicitly mentioned in the JD.
Experienced in handling and validating clinical or preclinical research data with attention to statistical rigor.
Skillful in using statistical and analytical software for data cleaning, analysis, and visualization.
Able to maintain comprehensive documentation and generate clear reports aligning with research protocols.