Charité - Universitätsmedizin Berlin - Institute of Public Health / CC01
The Charité - Universitätsmedizin Berlin is a joint medical faculty, which serves both Freie Universität Berlin and Humboldt Universität zu Berlin. As one of the largest university hospitals in Europe with an important history, it plays a leading role in research, teaching and clinical care. The Charité university hospital has also made a name for itself as a modern business with certifications in the medical, clinical and management fields.
The Institute for Public Health (IPH) is part of the Center for Human and Health Sciences of the Charité -Universitätsmedizin Berlin (CC1) and seeks to bring together high-quality research and teaching in public health with a special focus on methods. We are looking for a highly motivated scientific staff member to join our team and contribute to our research project NeTKoH. The analytical research position is nested within a project evaluating effectiveness, feasibility, and cost-effectiveness research questions pertaining to the use of telemedical neurological consultations in general practitioner offices for the first line treatment of neurological complaints. The project was conceived by a research team at the University of Greifswald and the study will take place in the region of Mecklenburg-Vorpommern, Germany. 40 general practices will be enrolled in this Innovationsfonds-funded stepped wedge cluster randomized study that will begin in Fall 2020.
Your area of responsibility:
We are looking for a dedicated and flexible statistical analyst who enjoys thinking critically and is scientifically curious. The ideal applicant has strong analytical skills, the ability to translate analytical results into high quality scientific reports, and the willingness to take initiative. Our hope is to find a proactive and well-organized individual comfortable working as a part of an interdisciplinary team. A sense of responsibility, teamwork, reliability, and excellent organizational and communication skills are essential. We strongly encourage applications from individuals of all gender identities, backgrounds and nationalities. In exchange, we offer you an environment to develop your methodological skills in a fast-paced, collaborative environment working to modernize and optimize primary patient care in Germany. We are happy to support you in pursuing further qualification in this position (doctoral degree or habilitation to university lecturer status). The main responsibilities for this statistical analyst position include:
Taking a leading role in the statistical analysis for the NeTKoH project evaluation. Performing data analyses for primary and secondary research aims using statistical software according to strict timelines.
Facilitation with the project and data managers to support proper data collection, achievement of study enrollment milestones and ensure overall database quality. Support the team in the writing of study reports and publications as well as future grant applications.
Implementation of own research subprojects with an analytical/methodological focus. Relevant organizational and administrative tasks.
Involvement in the development of some statistics-focused lectures/seminars in the Master’s and/or PhD programs affiliated with the Institute of Public Health. Possible (co-)supervision of master theses and/or doctoral projects within the study.
Please be sure to highlight your strengths pertaining to the following elements to assist us in accurately evaluating your application. In the primary selection round, applicants will be ranked by number of points.
Requisite elements (worth up to 10 points each):
Completion of a Master’s-level (or equivalent) degree in a relevant analytical discipline (e.g. biostatistics, med.statistics, bioinformatics).
Advanced user of at least one modern statistical software program (e.g. R/RStudio, Python, Stata).
Proof of advanced methodological training related to modern analytical methods for randomized controlled trials.
Demonstrated experience in the statistical analysis of randomized controlled trial data.
Strong command of written and spoken English (C1 or higher according to CEFR) OR German (C1 or higher according to CEFR).
Project-specific desirable elements (worth up to 6 points each):
Demonstrated experience in statistical methods for cluster randomized trials.
Familiarity and specific experience with statistical analysis of stepped-wedge designs.
Further desirable elements (worth up to 3 points each):
Advanced user (programming skills) in the statistical software program R/RStudio.
Demonstrated experience using reproducible research tools (e.g. RMarkdown, Github).
Strong scientific writing skills as demonstrated by prior research publication record and/or writing samples.
Proficient knowledge of written and spoken English AND German (B2 or higher according to CEFR for each language).
How to apply:
Please send all application documents, e.g. cover letter, curriculum vitae, certificates, attestations, etc. to the following address, quoting the reference number
Charité - Universitätsmedizin Berlin
Institut für Public Health
10117 Berlin email@example.com
DIE CHARITÉ – UNIVERSITÄTSMEDIZIN BERLIN makes its human resources decisions based on
suitability, competence and professional performance. At the same time, it strives to increase the percentage of women in management positions and takes this into consideration where candidates are equally qualified within the limits of what is legally possible. Applications from people with a migrant background are also explicitly welcome. Severely disabled applicants are given preferential consideration in the case of candidates with equal qualifications. An extended certificate of conduct must be submitted. Any travel expenses incurred cannot be reimbursed.