Statistician RWE

Job description

At Janssen, we are dedicated to addressing and solving some of the most important unmet medical needs of our time in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Driven by our commitment to patients, we bring innovative products, services and solutions to people throughout the world. Janssen is a pharmaceutical company of Johnson & Johnson. Please visit www.janssen.com for more information.

STATISTICIAN RWE
Location: Budapest
Full-time permanent contract

Role Overview

Statistician RWE leads in-house statistical and analytical services in real world evidence (RWE) studies. Participates in RWE projects out of the local organization and takes part in international collaborations with RWE relevance.

You will have the following areas of responsibility:

• Oversees the work of outside agencies in RWE projects
• Participates in the planning and goal finding phases of RWE projects
• Performs statistical analysis of RWE data
• Summarizes the results of RWE analysis in reports and in scientific publications
• Occasionally helps to interpret statistical analysis and publications for market access, marketing and medical purposes
• Acts as statistical consultant for other intracompany (medical, HEMAR) RWE studies purposes
• Responsible for accurate, timely, compliant work and task follow up
• Should have up-to-date knowledge and keep existing company procedures and related rules;
• Detailed knowledge of HCBI SOPs and relevant finance processes is a must;
• May have contacts with HCPs that do not classify as medicine representation.

Desired profile

Qualifications and experience of the successful candidate:

• University degree (Maths, Statistics) preferred
• Fluent English (spoken and written)
• Work under pressure, high degree of accuracy
• Up-to-date knowledge of statistical methodologies applied in the analysis of real world evidence data (such as: Kaplan-Meier analysis, Cox modelling, propensity score analysis, analyzing survival data in case of correlated covariates, ANOVA and nonparametric methods)
• Ability to understand the structure of large databases and queries applied to them
• Good communication skills
• Compliant driver

In return we offer:

An exciting and challenging job position where you can excel and work environment which you will enjoy. By joining us you will:

• Be part of an international team of experts to inspire and support you.
• Benefit from extensive long-term opportunities for personal and professional development.
• Be involved in healthy and active work environment.
• Help community members stay active and connected.
• And of course receive competitive salary based on experience and comprehensive benefits package.

If you are interested in this role and meet the requirements set above, do not hesitate to send us your CV and brief cover letter in English.