Data Analyst Level 1

You will be playing a key role in developing clinical database products across various therapeutic areas such as Metabolic & CV, Neuroscience, Autoimmune, Oncology, and Respiratory with a focus on high quality to support Meta-analysis. Your responsibilities will include analyzing and annotating trial design information, treatments, demographics, and outcomes data from clinical literature sources. You will also be required to digitize results from graphs accurately and consistently. Collaboration will be a key aspect of your role as you work with lead consultants, peer data analysts, and quality managers to contribute to database rules, specifications, and quality processes. Additionally, you will undergo relevant training programs in areas such as Statistics, R coding, Systematic Literature review, and Data analysis methods to enhance your skills and advance within the organization. To qualify for this position, you should have a Master's degree in Pharmacology or Pharmaceutics (with relevant experience), PharmaD, Clinical Practice, Master's in Public Health, or Epidemiology. A minimum of 1-2 years of experience in Information science, Systematic Literature review, Health-economics, or public health sectors is required, with preference given to those with pharmaceutical industry experience. Strong knowledge of Pharmacology, clinical research, and clinical development processes is essential, along with familiarity with trial designs, Pharma Industry data standards, and ontologies. Having skills in statistics, data management tools like R, and a willingness to learn and collaborate in a team environment are crucial for success in this role. Excellent interpersonal skills, strong learning abilities, and a passion for supporting databases in various disease areas will be valuable assets that you bring to the team.,