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Data Analyst Level 2

1-2 years
Not Disclosed
10 Nov. 8, 2024
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

About Certara:

Certara is an innovative and growing company that provides a dynamic and exciting environment for career development. Our mission is to accelerate the development of meaningful medicines that have a significant impact on society and improve the lives of those who need them most. We highly value creativity and innovation, offering ample opportunities for training and continuous development.

With a broad portfolio covering the discovery, preclinical, clinical, and post-marketing phases of drug development, we work with 1,200 commercial companies, 250 academic institutions, and numerous regulatory agencies worldwide.


Job Overview:

As a Clinical Data Analyst at Certara, you will interpret clinical trial data across a range of therapeutic areas, such as Metabolic & CV, Neuroscience, Autoimmune, Oncology, Respiratory, and more. You will play an integral role in the development of clinical database products that support informed decision-making throughout the clinical development and post-approval phases using advanced modelling and simulation techniques. A deep understanding of pharmacology, clinical research, and clinical database development is essential, particularly in conducting systematic literature reviews and meta-analysis (pairwise, network, and model-based).


Responsibilities:

  • Clinical Database Development:
    Play a key role in developing high-quality clinical database products across various therapeutic areas to support meta-analysis (pairwise, network, and model-based meta-analysis).

  • Data Interpretation:
    Analyze and annotate trial design, treatment protocols, demographic data, and outcome data (e.g., biomarker, clinical, safety, and quality of life outcomes) from clinical literature such as journals, conference abstracts, and regulatory reviews.

  • Data Digitization:
    Accurately digitize results from graphs reported on linear, logarithmic, and semi-log scales with precision and consistency.

  • Collaboration:
    Work closely with the lead consultant, peer data analysts, and the quality manager to understand and contribute to database rules, specifications, and quality assurance processes.

  • Training & Development:
    Participate in relevant training programs (e.g., Statistics, R coding, Systematic Literature Review, and Data Analysis Methods) to enhance your skills and support professional growth within the organization.


Qualifications:

  • Educational Background:

    • Master’s degree in Pharmacology, Pharmaceutics, Pharma D, Clinical Practice, Public Health, or Epidemiology (or equivalent relevant experience).
  • Professional Experience:

    • Minimum 1-2 years of experience in information science, systematic literature reviews, health economics, public health, or related fields. Pharmaceutical industry experience is preferred.
  • Knowledge & Skills:

    • Strong understanding of pharmacology and clinical research.
    • Familiarity with clinical development and post-approval phases, including PICOS approach, trial designs, and pharma industry data standards/ontologies.
    • Proficiency in statistics, data management tools like R (preferred but not mandatory).
  • Interpersonal Skills:

    • Comfortable working in a team environment with strong collaboration and communication skills.
  • Learning & Development:

    • Strong learning skills to support databases across multiple disease areas and contribute to continuous improvement.

Certara’s Commitment to Diversity:

At Certara, we base all employment-related decisions on merit, taking into account qualifications, skills, achievements, and performance. We are committed to treating all applicants and employees with fairness and respect, without regard to personal characteristics such as race, ethnicity, religion, gender, sexual orientation, age, nationality, marital status, pregnancy, disability, genetic information, military service, or any other characteristic protected by law.

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