Postdoctoral Researcher in Population Pharmacogenetics Full-time NEW

Postdoctoral Researcher in Population Pharmacogenetics

Do you want to contribute to improving human health?

The successful candidate will join our research program in population pharmacogenetics and precision medicine, focusing on genetic diversity in African populations and its impact on drug response. The project aims to identify and functionally characterize pharmacogenetic variants relevant to drug efficacy, pharmacokinetics and adverse drug reactions using large-scale genomic and pharmacogenomic datasets. The work will combine population and computational genetics—including genotype–phenotype analyses, pharmacogene haplotype characterization, rare and structural variant analysis, and computational prediction of variant function—with integration of functional and clinical data. Selected variants will be prioritized for experimental validation using cellular and molecular approaches. The candidate will work with a high degree of independence while contributing to multidisciplinary and international collaborations

Your mission

To be eligible for employment as a postdoctor, a PhD or a foreign degree deemed to be equivalent to a Swedish PhD is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. Completion of your doctoral degree within the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier.

The successful candidate should have:

• A PhD in pharmacogenetics/pharmacogenomics, human genetics, molecular medicine, bioinformatics, pharmacology or a closely related discipline.
• Documented experience in pharmacogenetic or human genetic research, preferably involving African populations or other genetically diverse and underrepresented populations.
• Experience with analysis and interpretation of next-generation sequencing data, including targeted sequencing, whole-exome and/or whole-genome sequencing.
• Strong competence in computational genetic analyses, including variant annotation and prioritization, genotype–phenotype association analyses and population-genetic approaches.
• Experience with pharmacogene-specific analyses, including interpretation of genetic variation in drug-metabolizing enzymes, transporters and/or drug targets.
• Familiarity with the analysis and interpretation of rare variants, haplotypes and structural or splice-altering variants is considered an advantage.
• Experience with computational approaches for predicting the functional consequences of genetic variants is considered an advantage.
• Good programming and data-analysis skills, preferably using R, Python and/or other relevant bioinformatics tools.
• The candidate should be able to work independently while also contributing effectively to multidisciplinary and international collaborations

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Campus Solna, Biomedicum

Application

An employment application must contain the following documents in English or Swedish:

• PhD certificate
• A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)

The application is to be submitted through the Varbi recruitment system.