Staff Statistician/Data Scientist

☞ Universiteit Gent

見る: 125

更新日: 16-11-2025

場所: Ghent East Flanders

カテゴリー: IT-ソフトウェア IT-ハードウェア/ネットワーキング 情報技術

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仕事内容

  • Apply before 05/02/2024 (DD/MM/YYYY) 23:59 (Brussels Time)
  • Faculty of Medicine and Health Sciences
  • Department: GE39 - Volksgezondheid en Eerstelijnszorg
  • Occupancy rate:100%
  • Number of positions: 1
  • Type of employment: Contract of limited duration
  • Term of assignment: 1 jaar
  • Wage scale: WM1 to WM4 (master degree)
  • Required diploma: Master

ABOUT GHENT UNIVERSITY

Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 80 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

YOUR TASKS

The team of Prof Bryan Gonzales at the Unit of Human Nutrition, Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences is seeking to appoint a Staff Statistician/Data Scientist who will play a key role in advancing the use of systems epidemiology and precision nutrition to better understand the molecular mechanisms driving nutritional diseases, especially affecting vulnerable populations in low and middle-income countries. As a staff scientist, you will be engaged in multiple projects working closely with our multidisciplinary team to analyze and integrate metabolomics and/or multi-omics data. You will be primarily responsible for developing and deploying smart ways to analyze multi-omics data obtained from cell culture experiments to large-scale longitudinal human cohort studies.
Responsibilities
  • Apply advanced statistical and machine learning techniques to analyze metabolomics and multi-omics data (i.e. causal inference, data integration, feature selection, and pattern recognition)
  • Collaborate with cross-functional teams to design experiments and interpret complex biological data.
  • Stay abreast of the latest advancements in statistical methodologies and data science techniques. Participate in training courses/sessions and conferences to acquire new skills and knowledge.
  • Contribute to the development of data-driven strategies and solutions, including supporting MSc, PhD students and postdocs in their data-related problems

WHAT WE ARE LOOKING FOR

  • You hold a Master’s degree in statistics, data science, machine learning, or a related quantitative field.
  • Strong background in statistical analysis, data modeling, and machine learning.
  • Demonstrated experience in the analysis and interpretation of metabolomics and/or multi-omics data.
  • Proficiency in R.
  • Strong problem-solving skills and a keen interest in scientific research.
  • Engaging personality and highly collaborative
  • Openness to work in a multi-cultural interdisciplinary environment
  • Creative, self-driven and with a passion for learning
  • Experience working in low and middle-income country context is an advantage but not required


WHAT WE CAN OFFER YOU

  • We offer you a contract of definite duration for the period from 1 March 2024 to 28 February 2025. Possiblities to extend this duration will be sought.
  • Your contract will start on 1/03/2024 at the earliest.
  • Your remuneration will be determined by salary scale WM1 to WM4 (if you hold a Master’s degree). Click here for more information about our salary scales.
  • All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers. Click here for a complete overview of all the staff benefits (in Dutch).


INTERESTED?

Apply online through the e-recruitment system before the application deadline(see above). We do not accept late applications or applications that are not submitted through the online system.

Your application must include the following documents:

  • In the field ‘CV’: your CV and an overview of your study results (merged into one pdf file)
  • In the field ‘Cover letter’: your application letter in pdf format
  • In the field ‘Diploma’: a transcript of the required degree (if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages.
  • In the field “other documents”: (1) statement of your previous experience in data science and what other skills you would like to develop (max 500 words); (2) contact details (email) of max 3 professional referees

Note that the maximum file size for each field is 10 MB.

As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.


MORE INFORMATION

For more information about this vacancy, please contact Prof. Bryan Gonzales (bryan.gonzales@UGent.be). Important: do NOT send your application by email, but apply online.
Do you have a question regarding the online application process? Please read our FAQ or contact helpdesk (dpo@ugent.be - tel. 09/264 98 98).
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締切: 31-12-2025

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