Postdoc in Computational Biology with Emphasis on Single-cell Metabolism

Chalmers University of Technology has an opening Postdoc position. Citizens of any country are eligible to apply. Applicants should apply before October 15, 2018.

The Department of Biology and Biological Engineering was founded January 1 2015, and started off with high ambitions. The aim was to grow and become a leading center of innovation by combining the latest research in life sciences with biochemistry. And the department got off to flying start. In its first year, the numbers for publication, citation and external funding have been excellent.

The department consists of four divisions, each conducting outstanding research in the areas of industrial biotechnology, systems biology, chemical biology and food science. The overall goal is to help build a sustainable society and improve human health. Nearly 200 people from 20 countries are currently working at the department. The working environment is characterized by respect, cooperation, responsibility, creativity and job satisfaction. The Department of Biology and Biological Engineering has summarized its mission in four points:- To be an attractive environment for top-level researchers in biological engineering- To deliver top-level research results and innovative solutions for use in a sustainable society- To offer excellent education that develops creative engineers and scientists- To be a major contributor to international visibility of Chalmers Information about the research/the project/the division

The Division of Systems and Synthetic Biology, located in the Department of Biology and Biological Engineering at the Chalmers University of Technology, is one of the world leading research groups within the systems biology field of metabolism. The Division is composed of 8+ labs and faculty, and each group leader is responsible for directing particular research themes within the realms of quantitative systems and synthetic biology. The research interests within the division range, from trying to understand fundamental metabolism, to highly applied research on the production of renewable energy, up to studying metabolic-related diseases such as cancer. The division also engages in extensive collaborative projects across universities and industry both nationally across Sweden and internationally. More information on international projects can be found here: The division also operates collaboratively with two other satellite facilities at Chalmers: the Novo Nordisk Foundation Center for Biosustainability ( and the Science for Life Laboratory (SciLifeLab;

One of the major challenges facing cancer therapy today is the emergence of disease-resistent and metastatic subpopulations of tumor cells within a heterogeneous tumor microenvironment. Although tumor cell population heterogeneity is beginning to be explored at the genomic, trancriptomic, and proteomic levels, it is less clear how tumor heterogeneity occurs at the metabolic level and what contribution this may have to emergence of disease-resistent and metastatic tumor subpopulations. Our group is highly interested in exploring tumor metabolic heterogeneity at the level of single cells. We combine high-throughput data analysis, statistical modeling, genome-scale metabolic modelling, and machine learning to study tumor metabolic heterogeneity from a fundamental point of view and to identify novel therapies across cancer types. The successful candidate will join our team to lead a multidisciplinary project investigating the causes and consequences of tumor heterogeneity within single tumors by combining RNA sequencing analysis, proteomic analysis, data integration, and genome-scale metabolic modeling.

Major responsibilities

We are seeking a motivated, creative post-doctoral candidate interested in studying cancer metabolic heterogeneity from a single-cell-scale point of view. Your major responsibilities are to lead the research project and communicate results with the team. You should be extremely curious about the basic science and carry a great interest to ask challenging questions within realistic time frames and resources. The work will involve analysis of bulk and single-cell RNA-sequencing data, analysis of bulk and single-cell proteomic data, genome/transcriptome/proteome integration, statistical modeling of cell populations, genome-scale metabolic modeling, and identification of molecular targets for cancer therapy. You should be a great team player willing to working in a highly collaborative international environment, to share your ideas, to express your opinions, and to expect to receive feedback and criticism.

You are expected to develop your own independent scientific concepts and communicate the results of your research verbally and in writing. The position requires sound verbal and written communication skills in English. You should be willing to supervise Master and PhD students and participate in some teaching.

Full-time temporary employment. The position is for 2 years with posibility to extend (1 year).


Ideal candidate would have a PhD degree in chemical or biomedical engineering (or related such as computational biology). The candidate should have extensive experience with bioinformatics, integrated analysis of multiple data types, “big data” analysis, and genome-scale metabolic modeling. Strong statistical and mathematical background is expected. Ability to program in Matlab and R is required. Previous lab work experience with single cell RNA analysis is an advantage.

Read more about working at Chalmers and our benefits for employees.

Application procedure

The application should be marked with Ref 20180501 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document as: CV, Surname, Ref. number) including:
- CV, include complete list of publications
- Previous teaching and pedagogical experiences
- Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) including:
- 1-3 pages where you introduce yourself and present your qualifications.
- Previous research fields and main research results.
- Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

Other documents:
- Attested copies of completed education, grades and other certificates.

Application deadline: 15 October, 2018

For questions, please contact:

Professor, Jens Nielsen, Systems Biology,, +46 (0)31 772 3804


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