Biostatistician for The National Center of Excellence PREDICT
4 weeks ago
Biostatistician for The National Center of Excellence PREDICT
Jobbeskrivelse
PREDICT
The National Center of Excellence, PREDICT(Center for Molecular Prediction of Inflammatory Bowel Disease) was founded in 2021 with the purpose of studying and unravelling the cause and prognosis of inflammatory bowel diseases(IBD). IBDs are chronic and disabling bowel diseases that affect millions of people worldwide. PREDICT is organized as an interdisciplinary collaboration between five partner institutions, involving a broad range of competences and many great colleagues including epidemiologists, basic scientists, clinicians, biostatisticians, and data scientists. In addition to national partnerships, PREDICT also has strong international collaborations.
The Position
As biostatistician in PREDICT you will be working closely with the center’s interdisciplinary group of scientists to perform forefront, international research. You will be joining an active group of dedicated biostatisticians and data scientists ensuring knowledge sharing and continuous professional development.
You will be involved in epidemiological studies of risk factors for IBD, pre-clinical disease development and treatment of IBD. You will contribute to study planning, take responsibility for data management and statistical analyses of nationwide register data and large datasets collected in PREDICT, and contribute to the interpretation and reporting of the results, including co-authoring of scientific papers. Additionally, you will conduct statistical counselling of PhD students and other scientists.
PREDICT is characterized by a collaborative work environment with committed, friendly colleagues. You will have the opportunity to put your personal mark on our biostatistical environment and gain from and contribute to continuous exchange of knowledge with scientists across the Center.
Qualifications
We encourage all interested candidates to apply, also newly qualified candidates.
Ideally you:
- Hold a master’s degree in statistics or equivalent
- Have excellent skills in statistical programming
- Are an expert R user
- Are fluent in English
- Like collaboration and thrive in an interdisciplinary team
Place of work
Aalborg University, A.C. Meyers Vænge 15 A, 2450 Copenhagen SV, where the core facilities of PREDICT are located.
Further information
Please contact Chief Statistician Gry Juul Poulsen, email: gryjp@dcm.aau.dk.
Agreement
The employment will be as academic officer in accordance with the provisions of the collective agreement between the Danish Government and AC(the Danish Confederation of Professional Associations). Your salary will be based on seniority, and a supplement may be negotiated.
There is a 3-month mutual trial period in the position.
Start of employment
October 1th, 2024.
Working period and hours
The position is a two and a half year full time position with the possibility of permanent employment.
How to apply
Your online application must be submitted in English by clicking“apply now”(“søg stillingen online”) below.
Please attach your CV, diploma and other relevant documentation.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.
Løn og ansættelsesvilkår
Employment and salary are in accordance with the applicable collective agreement in the state sector, including the Organisations of Public Employees collective agreement. Qualification-based supplements may be granted, subject to negotiation.
There is a 3-month mutual trial period.
Aalborg University must receive your application online with a CV and any other relevant documentation attached. Applications are to be submitted online by using the"Apply" button below. Open the link and complete the application form.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.
Ansøgningsfrist
2024-06-24
Ref. nummer
1219041
Afdeling
Klinisk Institut
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