Summary
The Department of Medical Sciences at Uppsala University is recruiting a highly ambitious Postdoctoral Researcher to join an interdisciplinary research team based at Clinical Chemistry (Akademiska sjukhuset). The position focuses on exposome analysis and metabolomics within clinical research, using high-dimensional mass spectrometry data, epidemiological registers, advanced biostatistics, and machine learning to enable personalized medicine in future healthcare.
Postdoctoral Researcher in Exposome Analysis, Uppsala University, Sweden
Designation
Postdoctoral Researcher (Postdoktor)
Key Information Table
| Field | Details |
|---|---|
| Job Title | Postdoctoral Researcher in Exposome Analysis (Postdoktor inom exposomanalyser) |
| Reference Number | UFV-PA 2026/2345 |
| Employer | Uppsala University (Department of Medical Sciences) |
| Number of Vacancies | 2 |
| Type of Employment | Temporary / Fixed-term (2 years under central collective agreement) |
| Work Extent | Full-time (100%) |
| Start Date | October 1, 2026 (or by agreement) |
| Salary | Individual salary setting |
| Location | Uppsala, Sweden |
| Publication Date | July 14, 2026 |
| Application Deadline | July 28, 2026 |
| Contact Persons | • Kim Kultima, Research Leader (Kim.Kultima@medsci.uu.se)• Dr. Ida Erngren ( Ida.Erngren@uu.se) |
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Research Area
- Exposomics & Metabolomics
- Mass Spectrometry Data Analysis & Bioinformatics
- Biostatistics, Machine Learning, & Deep Learning in Biomedicine
- Epidemiological Register Data & Clinical Data Integration
Location
Uppsala, Uppsala County, Sweden (Academic Hospital / Akademiska sjukhuset)
Eligibility / Qualifications
Mandatory Requirements
- Education: PhD in Bioinformatics, Environmental Medicine, or a related relevant field (completed by the time the employment decision is made; ideally awarded within the last 3 years).
- Mass Spectrometry Experience:
- Minimum 5 years of documented experience in pre-processing and quality control of mass spectrometry data.
- Documented experience working with non-targeted mass spectrometry data.
- Experience with mass spectrometry data analysis and metabolite identification tools (e.g., OpenMS, SIRIUS).
- Programming Skills: Minimum 5 years of documented programming experience in R or Python.
- Statistical Analysis: Proven experience in statistical analysis of mass spectrometry data with a focus on metabolomics and exposome analysis (including regression models and survival analysis).
- Epidemiological Studies: Experience analyzing associations between exposures, registry data, and disease outcomes.
- Publication Record: At least one published article as first author in a journal with a 5-year Impact Factor greater than 15.
- Teaching & Grants: Experience in student teaching/supervision and writing scientific articles/grant proposals.
- Language Skills: Excellent written and spoken English, including scientific documentation.
- Personal Competencies: High precision, independence, and strong collaborative skills in a multidisciplinary environment.
Desirable / Meritorious Qualifications
- Clinical research experience involving patient and electronic health record (EHR) data or questionnaire data.
- Experience using software tools like TraceFinder for substance detection and quantification.
- Experience creating reproducible analysis pipelines and handling large-scale datasets.
- Swedish language proficiency (written and spoken).
- Advanced statistical techniques: mixture models (quantile G-computation, WQS), Cox proportional hazards survival models, and mediation analysis.
- Advanced data workflows and machine learning tools: GitHub, Docker/Singularity, Nextflow, Graph Neural Networks (GNNs), LSTM, Transformers, CNNs, Conformal Prediction, and Explainable AI (XAI).
Job Description
- Perform pre-processing, quality control, and complex statistical/machine learning analyses on biomedical data (mass spectrometry, electronic health records, and epidemiological registries).
- Conduct advanced statistical analyses to study associations between biomarkers, environmental factors, and disease outcomes/trajectories.
- Visualize, interpret, and document research workflows and findings in accordance with good research practice.
- Provide biostatistical and data analysis support to other research projects within the team.
- Actively participate in group research meetings and collaborate with local and international partners.
How to Apply
Submit your application through the Uppsala University Application Portal.
Note: Position may be subject to a security clearance process prior to employment.
Last Date for Apply
July 28, 2026
