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Postdoc Researcher Position in Umea University, Sweden

Postdoctoral position in Bioinformatics and AI models in cancer research at Umeå, Sweden, Apr 2022


Postdoctoral position in Bioinformatics and AI models based on genomic, epigenomic and proteomic data at single cell level to predict disease progression and design tailored treatment strategies in cancer research for applicants with doctoral degree is available at the Department of Molecular Biology, Umeå University, Sweden, Apr 2022.



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General Info

Position: Post Doctoral Fellow
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 2 Years
Salary: According to standard norms

Department of Molecular Biology

Umeå University (UMU), Sweden


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Qualification Details

A person who has been awarded a doctorate or a foreign qualification deemed to be the equivalent of a doctorate in bio-science, biomedicine, molecular biology and computer sciences with major in bioinformatics is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than the time at which the appointment decision is made.

The ideal candidate should have academic ambitions and independent research skills and critical thinking and leadership quality. The candidate should have strong drive in research and teaching. Candidates must have documented theoretical and practical experience in broad areas including tumor biology, patho-biology, bioinformatics, biochemistry, animal models and fluorescence microscopy.

Candidates must be fluent in spoken and written English. Because the project will be of collaborative nature, candidates need to be able to work productively not only independently, but also in a team. Excellent communication skills are required for interacting effectively with senior colleagues and peers, including colleagues from complementary research fields.

Additional Useful Qualifications

Since appointment as a postdoctoral researcher is a career-development position for junior researchers, we are primarily interested in applicants who completed their doctoral degree no more than three years before the application deadline. If there are special reasons, an applicant who has completed their degree earlier than that may be considered. Special reasons include absence due to illness, parental leave, clinical practice, appointments of trust for a trade union organisation or other similar circumstances, and for relevant duties/assignments within the subject area.

Responsibilities/Job Description

The final step of cancer metastasis is when the metastatic lesions take over the normal tissue in distant organs, resulting in organ failures. The initiation of metastatic growth in distant organs may require the action of both tumor-specific factors and signals from host organs which may differ from that of primary sites. Thus, the colonization and outgrowth of metastatic descendants may depend on both oncogenic factors from tumor cells and signaling molecules from tumor-associated microenvironment. To explore this unknown field, we propose to identify tumor-intrinsic and tumor environmental factors, and their complex roles. Single cells sorted from primary tumors and their metastatic descendants of prostate or breast cancers will be used. We will assist the computer scientists to develop artificial intelligence predictive model based on genomic, epigenomic and proteomic data at single cell level to predict disease progression and design tailored treatment strategies.

Work task: 1. To perform multiplex gene expression analysis by using clinical samples and individual cancer cells and immune cells. Investigate and compare large numbers of candidate genes related to KRAS, PI3K/AKT and PIP5K1α pathways in individual cells between the primary tumors and metastatic lesions. 2. Establish cell line-models, organoid and animal models for testing for targeted drug validation and characterization for metastatic cancer under EU-REVERT Consortium. 3. Establish and utilize xenograft mouse models that recapitulate growth of primary tumors and formation of distant metastasis Investigate the prognostic values of tumor-specific signatures in primary tumours and metastatic lesions in predictive of distant metastasis. 4. Apply Artificial Intelligence Predictive models to validate on the large data from clinical data bases of various types of metastatic cancer which share the similar oncogenic pathways and mutations in particular, KRAS pathways.

The findings will translate our knowledge to effectively treatments by using AI model to subgroup cancer patients with risk to develop metastatic diseases and treatment resistance. Provide new information for the roles of key players of the metastatic cascades for designing and developing novel multi-module targeted therapies for preventing and treatment of metastatic diseases.

How to Apply?

Application Method: Online Application
Ref. No.: AN 2.2.1-433-22

Application Procedure

The application is made through our electronic recruitment system and must be received latest 20th of April 2022. The application must be written in Swedish or English. A full application should include:

  • An introductory letter including a 2-page statement of research interests relative to the above topics and a motivation of why your expertise is appropriate for the position.
  • Curriculum vitae (CV) with publication list,
  • Certified copy of doctoral degree certificate,
  • Certified copies of other diplomas, list of completed academic cources and grades,
  • Copy of doctoral thesis and relevant scientific papers,
  • Contact information of two reference persons

About the Employer:


The appointment is a full-time, fixed-term position two years in accordance with the terms of contract for fixed-term employment as a postdoctoral researcher. The access should be as soon as possible or by agreement.

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Contact details

If you have questions regarding the position, please contact

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