Data Analyst Level 3
3 days ago
About Certara
Certara is a growing company that provides a dynamic and exciting place to work. Our purpose is to assist in accelerating the development of meaningful medicines that make an impact on our society and the people that need them most. Innovation and creativity are highly valued, and everyone is given the opportunity for training and continuous development. Our portfolio spans the discovery, preclinical, clinical and post-marketing phases of drug development, working with 1,200 commercial companies, 250 academic institutions, and numerous regulatory agencies
This job entails interpretation (analyzing and reviewing) of Clinical trials data across various therapeutic areas and actively contribute to the development of database products that support informed decision making at various stages of clinical development and post approval phases using modelling and simulation approaches. This job necessitates a profound knowledge of pharmacology and clinical research, experience in development and quality management process of clinical databases for conducting systematic literature review and meta-analysis (pair wise, network and model based meta-analysis) and basic knowledge of information science (PICOS based literature search)
Responsibilities
Play a key role in the development of clinical database products in various therapeutic areas like Metabolic & CV, Neuroscience, Autoimmune, Oncology, Respiratory etc., with a very high quality that support Meta-analysis (Pair wise, Network and Model based meta-analysis) Analyze and review the information pertaining toTrial design, treatments, demographics and outcomes data (biomarker, clinical, safety and quality of life outcomes) for full time course from clinical literature (Journals, conference abstracts, Regulatory reviews etc.)The data extracted from graphs for outcomes reported on linear, logarithmic and semi-log scales with precision Perform the above consistently with a very high quality, provide the required feedback and training to the data analysts at L1/L2 continuously thereby contributing to the enhancement of database quality Review the literature search results, identify the miss cases and share the analysis report basing which the PICOS based search algorithm shall be enhanced (by lead consultant/Quality manager/Project Manager) to include the specific terms resulting in the miss cases Work with lead consultant, peer data analysts and Quality manager to understand and contribute to the database rules, meta-data management, specifications and quality enhancement on continuous basis to assure “first time correctness” Undergo relevant training programs (Statistics, R coding, Systematic literature review and Data analysis methods) and excel in these skill enhancement programs to grow in the organization ladder
Qualifications
Masters in Pharmacology or Pharmaceutics (with relevant experience), Pharma D, Clinical Practice, Masters in Public Health and Epidemiology. PhD in Pharmaceutical sciences and MD Pharmacology are eligible with minimal/no work experience Minimum 2-4 years of experience in the areas of Information science, Systematic Literature review, Health-economics and public health sectors, pharmaceutical industry experience preferred Strong knowledge of Pharmacology and clinical research is a must Knowledge of clinical development and post approval phases, , PICOS approach, trial designs, Pharma Industry data standards/ontologies Knowledge of statistics, data management tools like R is an added advantage Comfortable in a team environment and able to communicate with and collaborate with peer scientists Excellent interpersonal skills Strong learning skills to be able to support databases in multiple disease areas
Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.
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