Linköping University is seeking a dedicated and qualified researcher for a Postdoc in Pharmacogenomics and Machine Learning position. The successful candidate will join a newly established research group within the Department of Biomedical and Clinical Sciences, focusing on identifying pharmacogenomic biomarkers and developing machine learning methods for variant interpretation.
Postdoc in Pharmacogenomics and Machine Learning at Linköping University, Sweden
Position Overview
| Detail | Information |
| Job Title | Postdoc in Pharmacogenomics and Machine Learning |
| Reference Number | BKV-2026-00526 |
| Department | Department of Biomedical and Clinical Sciences |
| Location | Linköping University, Sweden |
| Contract Type | Full-time, Temporary (3 years) |
| Application Deadline | 1 July 2026 |
Research Focus
The research group focuses on:
- Biomarker Identification: Discovering pharmacogenomic biomarkers using biobanks and clinical genotyping/sequencing data.
- Machine Learning Development: Creating advanced computational methods to interpret the functional consequences of pharmacogenetic variants.
Eligibility and Qualifications
- Educational Requirement: Must hold a doctoral degree (or equivalent foreign degree) in Pharmacology and/or Bioinformatics.
- Preferred Timeline: It is advantageous if the PhD was awarded within the last three years (exceptions considered for special circumstances like statutory leave).
- Key Skills:
- Extensive experience in pharmacogenomics, genetic association analysis, and bioinformatics.
- Proficiency in machine learning-based prediction methods.
- Highly valued: Experience with population pharmacogenomics, sequencing data analysis (e.g., star-allele/variant calling), large-scale biobank data (e.g., UK Biobank), and structural bioinformatics.
- Communication: Excellent written and verbal proficiency in English.
Job Description
- Primary Responsibility: Principally carrying out research within the specified focus areas.
- Teaching Duties: A limited amount of teaching may be required (up to 20% of working hours).
- Collaboration: Working effectively both independently and as part of a collaborative, diverse team.
How to Apply
- Submission: Apply through the official Linköping University portal by clicking the “Apply” button.
- Documents: Attach your selected research publications electronically (PDF or Word format).
- Physical Submissions: For publications that cannot be sent electronically (e.g., monographs), submit three sets via mail to the University Registrar at Linköping University, S-581 83 Linköping, Sweden.
- Deadline: All application materials must be received no later than 1 July 2026.
Are you interested in guidance on how to tailor your CV or cover letter to highlight the specific pharmacogenomics and machine learning skills requested for this position?
