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Are you ready to make your mark in the healthcare industry using your ingenuity and technical expertise? At Parexel, there's no limit to what you can accomplish. We work with the top 50 global pharmaceutical companies, the top global biotech companies, and hundreds of small and emerging companies. We've supported the development of some of the most important treatments of our time, including nearly all of the 50 top selling drugs currently on the market. Join us and you'll make a profound difference in millions of lives. With a role in our Information Technology group, you'll work with cutting-edge technology on internal and client-facing projects. Collaborating with people from all over the world and touching everything from enterprise systems and clinical applications to infrastructure and networking, you'll keep our data safe and confidential. You'll have the chance to develop your skills and pursue advancement opportunities that include managerial and technical tracks. If you have stellar coding and design experience and a passion to learn more about healthcare, Parexel invites you to discover our rewarding opportunities in Enterprise Architecture, Software Development, Project Management and Business Analysis, and more. In a global clinical trial environment, business-focused applications, connectivity, and data security are critical to a trial's outcome. Find out how you can be an invaluable part of our success story.
Health Economics Associate (Fixed-term contract)
Job ID R0000043086 , DenmarkAbout this role:
The Associate contributes statistical capabilities and methodological support at all stages of projects, from planning to completion. The role would work under the supervision on an experienced team member in designing, developing, and delivering client solutions across multiple projects – leveraging competencies in statistical theory, data analysis and interpretation, regression analysis, and experimental design.
Knowledge and Experience Required for this role:
-Familiarity with healthcare consulting or pharmaceutical organizations. Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques, etc.
Familiarity with machine learning techniques and Bayesian statistics is a plus.
Strong statistical programming skills with standard software.
Education:
Master or higher degree in Public Health, Health Economics, Health Policy, Statistics, Biostatics, Mathematics, or other quantitative fields.
Skills:
Ability to work under pressure to meet multiple and sometimes competing deadlines.
Excellent scientific, business writing, and presentation skills with close attention to detail.
Exceptional communication skills, especially in the relaying of technical information and project concepts.
Competent in written and spoken English SAS, R, SQL, or Python
Strong communication (spoken and written) and problem-solving skills, and an ability to learn-quickly.
Ability to communicate effectively, in non-technical terms, with project team members.
Ability to work well in a team as well as independently and be able to take leadership role with regard to methodological elements in projects.
Job Description
Key Accountabilities:
Project Execution
Acting as support biostatistician or statistical programmer to interact with the study team and the sponsor
Support in drafting statistical sections of protocols, performing sample size and power calculation for studies.
Supporting in reviewing data management plans, data specifications, and other related study documents
Supporting in developing statistical analysis plans
Contributing to the preparation of specifications for analysis datasets
Supporting in developing statistical programs to generate listings, tables and figures as outlined by a statistical analysis plan
Performing QC of TLFs and other analysis datasets
Reviewing study protocols and providing input to statistics section
Providing statistical input to Clinical Study Reports
To help ensure quality standards are adhered to on all projects and new methodologies and techniques are adequately assessed and implemented.
To help foster thought leadership opportunities.
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