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Postdoc Fellowship in Bioinformatics and Systems Medicine

Employer
Linköping University - Department of Biomedical and Clinical Sciences
Location
Linköping (SE)
Salary
fellowship stipend is 300 000 SEK tax free per annum
Closing date
Sep 26, 2022

View more

Discipline
Life Sciences, Bioinformatics
Job Type
Postdoc Fellowship
Organization Type
Academia
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Linköping University (LiU) is one of Sweden’s largest academic institutions. With our tradition of innovation and cooperation across boundaries we participate in building the society of tomorrow. LiU has 32 000 students, 4 000 employees and over 120 study programs.

 

Department of Biomedical and Clinical Sciences (BKV) conducts research within a broad spectrum of modern biomedicine, from detailed molecular and cellular studies, to genetics, clinical research and epidemiology. The Department has over 400 employees.

 

A Postdoctoral fellowship at LINKÖPING UNIVERSITY

 

A postdoctoral fellowship within the field of Bioinformatics and systems medicine is available at the Department of Biomedical and Clinical Sciences (BKV), Linköping University.

 

The rise of high throughput molecular technologies has shed lights on the development of next-generation molecular diagnostics and biomarkers for patient stratifications in the precision medicine era. There is an urgent need to develop new systematic tools to combine multi-omics data and link genotype to phenotype to expand our knowledge of complex traits of human diseases. We are seeking an enthusiastic candidate with documented experience and a strong research interest in Data-Driven Precision Medicine and Systems Biology. The candidate will focus on the construction of multi-scale molecular health and disease network and develop AI-based analytical infrastructures to inform precision medicine-based decision support. The position entails collaborative work within an environment of doctoral and post-doctoral students, principal research engineers and experienced clinicians. Advanced modern facilities and resources, including Berzelius HPC system, a 300-petaflop NVIDIA SuperPOD resource, multi-omics platforms and bioinformatics infrastructures are fully accessed to facilitate the development of data-driven computational tools.

 

As part of the Swedish national program for Data-Driven Life Science (DDLS) coordinated by SciLifeLab, the research team mainly focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of data-driven strategies/tools for precision medicine. The DDLS program is a 12-year initiative funded with a total of 3.1 billion SEK (about 300 MEuro, 350 MUSD) from the Knut and Alice Wallenberg Foundation. The purpose of the program is to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in life science in Sweden. Furthermore, the program aims to strengthen collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. The candidate will benefit from enrollment in the SciLifelab-Wallenberg DDLS (https://www.scilifelab.se/data-driven) Postdoctoral Fellow program with specific support from SciLifeLab Data platform.

 

Requirements: A PhD in a related field is required, granted by a university outside of Sweden. The applicant should have a doctoral degree in the field of bioinformatics or systems biology, or similar field, and must have demonstrated successful completion of projects during the graduate thesis studies.

Practical experience with genetics, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Good programming skills (Python/R) and a solid training in data mining or machine learning are highly preferred. Strong written and oral communication skills in English are required.

An ambitious, creative, proactive, self-motivated and detail -and results-oriented individual is sought, who will be able to work independently in a collaborative setting and fit within an international team of researchers and clinicians. 

Appointment time: Successful applicants will be awarded a one-year Career Development Fellowship with the option of extension for a 2nd year conditional to satisfactory performance. The fellowship is a training and development position for a post-doctoral scientist who has completed their doctoral studies and is moving into a new research group.

Starting date: By agreement but provisionally set for January 1st, 2023.

Fellowship stipend: The fellowship stipend is 300 000 SEK tax free per annum for up to two years according to LiU regulations.
Note, Fellowships are offered tax free and are not eligible for sick or maternity pay. A fellow is not covered by the occupational injury insurance but is covered by the Work Environment Act. Fellowship remuneration is tax-exempt and does not give any pension rights to the applicant. A fellowship is covered by the Insurance for Foreign Visitors, but each applicant should be aware of their own insurance needs and requirements. Fellows are not employed and therefore not covered by any collective agreement.

Application: The application must include

  • a cover letter explaining how your experience matches the requirements of the position
  • a current curriculum vitae
  • a list of publications
  • a copy of your passport
  • names and contact information of up to three references, one of which should be the PhD supervisor

Please send your application to Lisa Dobrosch at hr@bkv.liu.se with a copy to Wen Zhong wen.zhong@liu.se

Deadline for application is September 31, 2022

 

Questions can be addressed to Wen Zhong (wen.zhong@liu.se) Assistance Professor, or Lisa Dobrosch (lisa.dobrosch@liu.se) International Coordinator

Linköping with ca 150 000 inhabitants, less than 2 hours by car or train from Stockholm, is an old town with a Castle since 12th century and a large Cathedral from the early 13th century, in combination with modern high-tech industry and a large university. The landscape around is clean and beautiful.

 

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