Uddandi Satya Karthik

Senior Scientific Analyst specializing in Real World Evidence (RWE) and Health Economics and Outcomes Research (HEOR) with over 3.5 years of experience. Skilled in biomedical literature research, data extraction, and synthesis. Proficient in economic evaluations including cost-effectiveness, cost-utility, and cost-benefit analyses. Experienced in developing clinical database products across various therapeutic areas such as Oncology, Metabolic disorders, and Rheumatology.
Strong background in Regulatory Toxicology with a Master's degree from NIPER, Hyderabad. Adept at analyzing and annotating clinical trial information, digitizing results, and maintaining high-quality data standards. Possesses skills in Machine Learning, Deep Learning, and Natural Language Processing using Python, as well as experience with AI tools like ChatGPT, MS-Copilot, and Claude.
Detail-oriented professional with excellent communication, problem-solving, and teamwork skills. Committed to continuous learning and growth in the fields of data analysis and healthcare research.

Conducted high-quality clinical data review and analysis, extracting insights from biomedical literature and clinical trial data to support Real World Evidence (RWE) and Health Economics and Outcomes Research (HEOR) projects.
•Performed patient-level reviews and trend analyses, supporting activities similar to Interim Analysis and Database Lock, to facilitate resolution of clinical data issues.
•Collaborated with cross-functional teams to enhance the quality of clinical data review and insights, focusing on data integrity, trend identification, and analysis.
•Contributed to the development of data review strategies and quality plans, ensuring consistent implementation of protocol-level assessments across studies.
•Conducted economic evaluations including cost-effectiveness, cost-utility, and cost-benefit analyses, demonstrating ability to analyze and interpret complex clinical and economic data.
•Developed clinical database products in various therapeutic areas (Oncology, Metabolic disorders, Rheumatoid and Osteo-arthritis, Psoriasis), similar to contributing to Case Report Form (CRF) development.
•Analyzed and annotated information pertaining to trial design, treatments, demographics, and outcomes data (biomarker, clinical, safety, and quality of life outcomes) from clinical literature, supporting the development of study-level documents

Masters of Science in Regulatory Toxicology (MS.Pharm in Regulatory Toxicology) from National Institute of Pharmaceutical Education & Research-Hyderabad.