Postdoctoral Fellowship Position in Biostatistics and Causal inference

  • Contract
  • Anywhere

University of Copenhagen

The Department of Public Health at University of Copenhagen, Denmark offers a postdoctoral fellowship position in Biostatistics. The anticipated hiring date is on 1 October 2023 or as soon as possible hereafter.

Job Description
We invite highly qualified, thorough and motivated applicants to apply for the positions. The postdoc will be involved in the project listed below as well as participating in the daily duties of the Department.

The project will focus on a project in biostatistics, specifically in two subprojects (Causal estimation and optimal treatment targeting with and without identification of the causal effect of interest). The project aims to develop methods and software that allow for the bounding and or targeting of optimal personalized treatment and the estimation of effects under such treatment decisions.  The Postdoc will work on three overarching topics and is encouraged and expected to drive the ideas and solutions within these topics, but also potentially other topics selected and driven by the postdoc:

  • Personalized treatment identification. Although the topic is specifically targeted for this optimization accounting for the burden of biomarker observation and the use of causal bounds in this optimization to account for data shortcomings, other methods and angles within this area are welcome.
  • Causal effect estimation. Again, although ideally specifically in settings where the causal effect of interest is not fully identified due to uncontrolled confounding, all forms of methods development for causal effect estimation are welcome.
  • Emulated trial. Specifically for the outcome of clinical utility in comparative effectiveness setting for treatment decision rules. However, just as with the above topics, less specific methods development within the topic of emulated trial designs would also be useful.
  • The successful candidate will be responsible for methods development and data analysis. The specific tasks will include:

    • development of methods for causal inference in observational data
    • publication in international peer-reviewed journals
    • presentation of findings at professional meetings

    The postdoctoral fellow will also be encouraged and mentored to develop new proposals and research initiatives to support additional research. Exchange stays with collaborating research centers in other countries will be optional. Over the course of the position, opportunities to teach at either the graduate or undergraduate level exist.

    Applicants should possess a Ph.D. in Statistics/Biostatistics, or similar disciplines. Candidates must have excellent skills in methods development. Data analysis and experience in e.g., R would be an asset. In addition, candidates should have strong English, scientific writing, and oral communications skills, as well as the ability to work independently, effectively, and collaboratively.

    About us
    The Department of Public Health is part of the Faculty of Health and Medical Science at the University of Copenhagen. The department has more than 300 employees divided on 8 sections. We are a diverse and exciting workplace and it is important to us that you are given the opportunity to grow, both on a professionally and personal level during your time with us. We are located at the Center for Society and Health, just a few minutes’ walk from Nørreport station. More information about Department of Public Health can be found at our website http://publichealth.ku.dk . Section of Biostatistics conducts general biostatistical research and methodological development in biostatistics, undertakes teaching of students at various educations, undergraduate as well as postgraduate, and offers biostatistical advice to staff and students in all disciplines of the Faculty of Health Sciences.

    Denmark offers unique opportunities for biostatistical research, but also very attractive tax-benefits for foreign researchers. Furthermore, Danes are considered to be among the happiest people in the world and Copenhagen is a wonderful place to live, full of cultural activities, hygge (coziness), green areas and great opportunities to bike and walk safely. Salary and other terms and conditions of appointment are set in accordance with the Agreement between the Ministry of Finance and AC or other relevant professional organizations. Salary will be commensurate with experience.

    We offer

    • Independent research at a high international level
    • Dedicated colleagues
    • Good social environment with a casual atmosphere
    • Flexible working hours

    Terms of employment
    The average weekly working hours are 37hours per week. The position is fixed-term, limited to a period of 2 years.

    Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 36,291 DKK/approx. 4,871 EUR (April 2023 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund.

    Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.

    The position is covered by the Job Structure for Academic Staff at Universities 2020.

    Questions
    More information about the positions is available by contacting Dr. Erin E Gabriel, Section of Biostatistics [email protected]

    Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).

    Application procedure
    Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your application must include the following documents/attachments – all in PDF format:

  • Letter indicating your motivation for application (max. one page).
  • Vision statement about your research and possibly career goals (max. one page)
  • CV incl. education, work/research experience, language skills and other skills relevant for the position.
  • A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
  • List of publications and archived works in progress.
  • Deadline for applications: 5 July 2023, 23.59pm CET

    We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

    The further process
    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

    You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

    The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

    The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

    Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

    To help us track our recruitment effort, please indicate in your email – cover/motivation letter where (jobs-near-me.eu) you saw this job posting.