Postdoc position in Data Science and Pharmaceutical sciences jobs

    Data Science and Pharmaceutical sciences jobs – Postdoc position is available, working on the project entitled “Nordic COllaborative HEalth REgister Network for Covid-19 Epidemiology (Nordic COHERENCE)”, in the Pharmacovigilance Research Center, at the Department of Drug Design and Pharmacology, University of Copenhagen, Denmark 


    Deadline to Apply

    May 09, 2021 (23: 59 GMT +1)


    Overview

    PositionPostdoc position
    No. of Position(s)1
    Research Area– Medical sciences
    – Pharmaceutical sciences
    – Public health
    – Biostatistics
    – Data science
    Salary34,600 DKK / Month
    WorkplacePharmacovigilance Research Center
    Department of Drug Design and Pharmacology
    University of Copenhagen
    Denmark
    Contract Period18 Months
    Starting dateJuly 1, 2021

    Qualifications

    • A PhD degree or similar qualifications within medical sciences, pharmaceutical sciences, public health, biostatistics, data science or related research field
    • Research experience within drug safety, pharmacovigilance, pharmacoepidemiology, clinical epidemiology, and/or data science
    • Qualifications within machine learning which preferably should be demonstrated through the candidate’s own research
    • Experience with using statistical software such as R or SAS

    Preference

    • Experience with using big healthcare data such as healthcare registers, and/or electronic health records
    • Qualifications within epidemiological study design and analysis
    • Good interpersonal skills and an enterprising, collaborative and innovative mindset
    • The successful candidate should be flexible and able to work both independently and in teams, and contribute to an inclusive working environment
    • Excellent English skills written and spoken
    • Ability to communicate results academically and also in a popular scientific way to the general public

    Responsibilities/ Job Description

    You will be working with register data in collaboration with other team members and you will contribute to the identification of predictors for a positive test or hospital admission for Covid-19 using machine learning (e.g. conditional inference trees). The position will involve interdisciplinary collaborations within the university, international scientific groups, as well as other public and private partners.

    We offer:

    • An interesting job with varied tasks in an active and engaging research environment
    • The opportunity to work with population-based data and with world-class researchers
    • The opportunity for professional advancement and development of an independent research profile
    • An employment with a societal responsibility playing an important role in the health and welfare of the Danish population

    How to Apply?

    Your online application must be submitted in English by clicking ‘Apply now’  above

    Documents Required

    Your application must include the following documents/attachments – all in PDF format:

    • Motivated letter of application (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.

    About Research project

    The project aims at investigating risk factors for severe Covid-19 (i.e. disease leading to hospitalisation, intensive care, or fatal outcome), identifying vulnerable populations, and characterising the disease course, also including intermediate to long-term sequelae among survivors of severe Covid-19. Additionally, it aims at investigating the collateral effects of the pandemic on drug and healthcare utilisation in the general population to assess secondary effects on public health. The project will use valuable existing data sources from four countries including population-based national health registries from Denmark, Norway, Sweden, and Scotland. We will use both epidemiological and data science methods, i.e. machine learning.

    Terms of employment

    The employment as postdoc is a full time and fixed-term position for 18 months. Starting date is 1 July 2021 or after agreement.

    Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). Currently, the monthly salary starts at 34,600 DKK/ approx. 4,650 Euro (February 2021-level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund.

    Non-Danish 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 “Memorandum on Job Structure for Academic Staff at the Universities” of December 11, 2019.

    Note

    • Interviews are expected to be held in the beginning of week 22
    • Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).

    Inquiries

    Professor Morten Andersen
    Email: morten.andersen@sund.ku.dk.

    Official advertisement

    Postdoc in Data Science and Pharmacoepidemiology at the Department of Drug Design and Pharmacology

    Post expires at 8:59am on Monday May 10th, 2021 (GMT+9)