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Aarhus University – Postdocs in Epidemiology or Statistical Genetics
Company Information: The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) is an international collaboration between Aarhus University, University of Oxford and University of Copenhagen. SMARTbiomed aims to advance the development of methods and software for analysis and inference from massive human data, advancing applications in medicine. SMARTbiomed is led by Prof. Naomi Wray and is anchored at Aarhus University.
This SMARTbiomed postdoc position will be at the at the National Centre for register-based Research (NCRR), Department of Public Health, where you will be part of an internationally recognized research centre, which houses several internationally acknowledged research groups in psychiatric and genetic epidemiology, as well as statistical genetics.
Position Title: Postdocs in Epidemiology or Statistical Genetics
Duties and Responsibilities: As a Postdoc in Statistical Genetics, your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance.
Your main tasks will consist of:
Conducting independent research of high international quality, including publication.
Developing and applying statistical and computational methods in epidemiology and genetics.
Collaborating with national and international partners.
Engaging in communication, outreach, teaching and supervision activities.
You will report to the Head of Department of Public Health.
Position Qualifications: You have academic qualifications at the PhD level in epidemiology, bioinformatics, statistics, computer science, data science, or related fields. In addition, the following competencies will be highly valued:
Experience analyzing large genetic data sets, e.g., UK Biobank, All-of-Us, or similar data.
Proficiency in statistical analysis using R, Python, or similar programming languages.
Experience with machine learning methods, e.g., penalized regression, neural networks, decision trees.
Knowledge of time-to-event analyses, Mendelian randomization methods, and polygenic risk scores.
Strong interpersonal skills, team-oriented mindset, and ability to work in interdisciplinary groups.
Ability to work both independently and in structured groups
Scientifically self-motivated and creative
Fluency in oral and written English.
Salary Range:
Benefits:
Website: https://international.au.dk/about/profile/vacant-positions/job/postdocs-in-epidemiology-or-statistical-genetics-at-the-pioneer-centre-for-smartbiomed
Application Information: Your application must include the following:
Motivated application
Curriculum Vitae
Diploma
Template for applicant – postdoc
A list of publications
A teaching portfolio. We refer to Guideline on the use of teaching portfolios
A maximum of five of the publications of greatest relevance to the job may be submitted (optional)
Research plan can be uploaded (optional)
Coauthor statement(s) can be uploaded (optional)
References/recommendations can be uploaded separately in the e-recruitment system (optional)
Contact Email: bjv.ncrr@au.dk
Application Deadline: 04/15/2025
Company NameAarhus University
Company Information
The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) is an international collaboration between Aarhus University, University of Oxford and University of Copenhagen. SMARTbiomed aims to advance the development of methods and software for analysis and inference from massive human data, advancing applications in medicine. SMARTbiomed is led by Prof. Naomi Wray and is anchored at Aarhus University.
This SMARTbiomed postdoc position will be at the at the National Centre for register-based Research (NCRR), Department of Public Health, where you will be part of an internationally recognized research centre, which houses several internationally acknowledged research groups in psychiatric and genetic epidemiology, as well as statistical genetics.
Position TitlePostdocs in Epidemiology or Statistical Genetics
Duties and Responsibilities
As a Postdoc in Statistical Genetics, your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance.
Your main tasks will consist of:
Conducting independent research of high international quality, including publication.
Developing and applying statistical and computational methods in epidemiology and genetics.
Collaborating with national and international partners.
Engaging in communication, outreach, teaching and supervision activities.
You will report to the Head of Department of Public Health.
Position Qualifications
You have academic qualifications at the PhD level in epidemiology, bioinformatics, statistics, computer science, data science, or related fields. In addition, the following competencies will be highly valued:
Experience analyzing large genetic data sets, e.g., UK Biobank, All-of-Us, or similar data.
Proficiency in statistical analysis using R, Python, or similar programming languages.
Experience with machine learning methods, e.g., penalized regression, neural networks, decision trees.
Knowledge of time-to-event analyses, Mendelian randomization methods, and polygenic risk scores.
Strong interpersonal skills, team-oriented mindset, and ability to work in interdisciplinary groups.
Ability to work both independently and in structured groups
Scientifically self-motivated and creative
Fluency in oral and written English.
Position or Company Websiteinternational.au.dk
Application Instructions
Your application must include the following:
Motivated application
Curriculum Vitae
Diploma
Template for applicant - postdoc
A list of publications
A teaching portfolio. We refer to Guideline on the use of teaching portfolios
A maximum of five of the publications of greatest relevance to the job may be submitted (optional)
Research plan can be uploaded (optional)
Coauthor statement(s) can be uploaded (optional)
References/recommendations can be uploaded separately in the e-recruitment system (optional)