About the role
About usIGES GmbH specialises in health economic and strategic research and consulting services for international pharmaceutical and medical device manufacturers. It offers biotech, pharmaceutical and medical device companies solutions for market access, pricing and reimbursement of their medical innovations. The company has offices in France, Germany, Italy, Spain, Sweden, Switzerland and the United Kingdom and also provides support for multinational product launches. IGES is part of the Athagoras Group, which brings together various consulting firms for the life sciences industry.
To strengthen our team in the area of Value Strategy & RWE, we are looking for a Senior Consultant Real World Evidence - Focus on Healthcare Data Analysis (m/f/d)
Your missionDesign, execution, evaluation and interpretation of analyses based on claims data – in particular health insurance fund data (GKV) and/or registry data – from data preparation through cohort definition to the presentation of results
Interpretation and contextualisation of analysis results to generate robust real-world evidence, and its translation into strategic recommendations for our clients
Strategic consulting for market access, HE&OR and RWE departments at leading pharmaceutical companies and emerging biotechs
Providing technical oversight and quality assurance for analyses in interdisciplinary projects, as well as mentoring less experienced colleagues
Providing support on HTA-related issues (e.g. evidence requirements, PICO scoping, analysis strategies) and translating the results into publications, presentations and project reports
Conducting systematic literature reviews and structured evaluations to supplement findings from claims data
Active involvement in the further development of internal data and methodological expertise for analyses of health data from the FDZ-Gesundheit
Collaboration on the preparation and publication of results, e.g. in scientific journals, project reports and presentations of findings
Your profileSuccessfully completed degree (master's/diploma) in health services research, public health, health economics, statistics, epidemiology or a comparable field
Several years’ relevant professional experience in the analysis of claims data – in particular health insurance fund data (GKV) and/or register data – in an industrial or academic environment
Demonstrable ability to interpret analysis results independently, synthesise them into real-world evidence and present them in a manner tailored to the target audience
Proficiency in epidemiological and statistical methods, to the extent required for the practical evaluation of claims data
Experience in drafting scientific documents, e.g. study protocols, study reports or publications
Programming skills in R or Python would be an advantage
Knowledge of HTA/market access requirements is welcome but not essential
Analytical thinking, structured and careful working style, and a high degree of initiative
Open-minded and communicative personality with a team- and client-oriented approach
Fluent written and spoken German and English (academic level)
Our offerCollaboration on varied projects involving highly innovative drugs at the interface of healthcare research, real-world evidence and strategic consulting
An interdisciplinary, collegial working environment with flat hierarchies, short decision-making paths and good development prospects
Professional and personal development through challenging project work, plenty of scope for your own ideas and individually tailored further training (e.g. conferences)
Gain practical experience in using large claims data sets, as well as early development of expertise relating to the FDZ Gesundheit
Flexible working arrangements after structured training at the Berlin site, including the option to work from home
A Permanent position with competitive remuneration, flexible working hours, 30 days of holiday and additional time off on Christmas Eve and New Year's Eve
contact informationIf this position appeals to you, we look forward to receiving your detailed application (cover letter, CV and references), stating your salary expectations and earliest possible starting date, either via the direct application form or by email to Ms Alina Weber (