Data Analyst Level 2 Specialist
4 weeks ago
About Certara
Certara is a dynamic and innovative company that provides a unique opportunity for professionals to contribute to the development of meaningful medicines. Our mission is to accelerate the discovery of new treatments that positively impact society.
This role entails the interpretation of clinical trials data across various therapeutic areas and the development of database products to support informed decision-making. The ideal candidate will have a profound knowledge of pharmacology and clinical research, as well as experience in data analysis and interpretation.
Responsibilities- Develop high-quality clinical database products in various therapeutic areas, including metabolic and cardiovascular, neuroscience, autoimmune, oncology, and respiratory.
- Analyze and annotate trial design, treatments, demographics, and outcomes data from clinical literature.
- Digitize results from graphs for outcomes reported on linear, logarithmic, and semi-log scales.
- Work with the lead consultant, peer data analyst, and quality manager to understand and contribute to database rules, specifications, and quality processes.
- Participate in relevant training programs to enhance skills in statistics, R coding, systematic literature review, and data analysis methods.
- Masters in Pharmacology or Pharmaceutics, or relevant experience.
- Minimum 1-2 years of experience in information science, systematic literature review, health economics, and public health sectors, with pharmaceutical industry experience preferred.
- Strong knowledge of pharmacology and clinical research is essential.
- Knowledge of clinical development and post-approval phases, PICOS approach, trial designs, and pharma industry data standards/ontologies is a plus.
- Knowledge of statistics and data management tools like R is an added advantage.
- Excellent interpersonal and communication skills.
- Ability to learn and adapt quickly to new technologies and processes.
Certara is an equal opportunities employer and treats all applicants and employees fairly, 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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