Assistant Professor in Data-driven precision medicine and diagnostics
Chalmers University of Technology
Information about the position
We are looking to fill the position as DDLS fellow in Data-driven precision medicine and diagnostics.
The subject area concerns data-driven research on precision medicine, such as the use of computational tools to integrate molecular and clinical data for translational research and diagnostic development thereby facilitating individualized patient care. Data integration and analysis can be used for patient stratification, for discovery of diagnostic biomarkers and for longitudinal monitoring and follow-up. Precision medicine also depends on capabilities for data interpretation, visualization and clinical decision support. The research is expected to use assets, such as electronic health care records, molecular data (e.g. imaging and omics), as well as longitudinal patient and population registries, biobanks and digital monitoring data.
Chalmers University of Technology welcomes a multidisciplinary approach to this position, in line with our organizational structure and tradition of collaboration across departments and external engagement with industry and society. We seek talented scientists with an excellent academic record in life science and/or computer science with the experience and desire to combine the two subjects in data-driven life science. Research relevant to this position is carried out at seven of Chalmers’ departments: Biology and biological engineering; Chemistry and chemical engineering; Computer science and engineering; Electrical engineering; Mathematical sciences; Microtechnology and Nanoscience; Physics. The host Department for this position will be decided in dialogue with the selected candidate.
Within Chalmers, interdisciplinary interactions and industrial collaborations in Data-driven precision medicine and diagnostics are further facilitated by the cross-departmental Area of Advance Health Engineering, our strategic initiative of the Chalmers AI Research Centre (CHAIR), and the competence centres FoRmulaEx, Center for Bionics and Pain Research and MedTechWest. The Chalmers research environment is supported by common infrastructure resources for mass spectrometry, bioinformatics and e-infrastructure, all providing further contact to national research infrastructures. Chalmers is also part of the national Wallenberg AI, Autonomous Systems and Software program (WASP) and the national cohort infrastructure SIMPLER.
Regionally there are strong collaborations with the University of Gothenburg (e.g. shared departments in mathematics and computer science), and the Sahlgrenska University Hospital. University of Gothenburg is also recruiting a DDLS Fellow within precision medicine and diagnostics. The regional collaboration facilitates access to further research infrastructures within cellular imaging, experimental biomedicine, proteomics, as well as biobank materials and Scapis, a national population study with 30 000 individuals. Chalmers has a broad industrial network with relevance for the position. AstraZeneca, located in Gothenburg, is an established partner in the FoRmulaEx centre, a high-resolution nanoSIMS instrument, and staff mobility programs, among others.
Generic description of the DDLS Fellows program
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative funded with a total of 3,1 billion SEK 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.
The program will recruit 39 eminent young group leaders as DDLS Fellows, launch over 210 postdoctoral positions and establish a research school for 260 PhDs, within both academia and industry. The program is coordinated by SciLifeLab, a nationwide research infrastructure and a hub for cross-disciplinary life sciences. The Fellows will be recruited to the 11 participating host universities/organizations, enabling them to link up with strong local research environments as well as with the national DDLS program. The DDLS program promotes collaborative interdisciplinary work and engagement with industry, healthcare and other national and international partners, such as WASP, with the aim of bridging the life science and data science communities.
The DDLS program will focus on four strategic areas of data-driven research: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and infection biology. We are now looking for the first 20 young group leaders to join us as DDLS Fellows.
Each DDLS Fellow will receive a recruitment package of 17 MSEK, which is meant to cover 5 years of their own salary, two PhD students and two postdoc positions, as well as running costs. The Fellow positions are tenure-track, and the universities/organizations will assume the long-term responsibility of their support as tenured faculty.
The future of life science is data-driven. Will you be leading that change with us? Then apply now!
The successful candidate will conduct research in line with the intentions described in your application. We want you to complement rather than duplicate our existing competences, and that you have an ambition to create synergies between our existing research groups.
As an Assistant Professor, you will contribute with:
– Active engagement in research, developing a distinct line of research through independent research projects.
– Active participation in education.
– Supervising undergraduate and graduate students.
– Applying for external research funding.
– Participating in joint departmental and university-wide activities.
– Seeking international collaborations on a high scientific level.
– Collaborating with research groups within and outside of Chalmers.
The appointment as Assistant Professor is a four-year entry-level faculty position with tenure track, whereby the employee has the opportunity to acquire both pedagogical and scientific qualifications. An assistant professor is expected to improve their ability to formulate and solve scientific problems, to publish scientific articles, and to develop abilities in teaching and supervision, by means of both practical training and independent study. The aim is to achieve the level of Associate Professor within four years and if successful you will be offered a permanent faculty position at Chalmers.
We are looking for candidates who are interested in building a research group and attracting external funding and who are interested in research and education. You are open-minded and interested in collaborating across borders within and outside Chalmers. Interest in and experience from teaching and supervision as well as a post-doctoral or equivalent stay at an institution other than the one where the PhD was awarded are considered merits. Teamwork, leadership, organizational and entrepreneurial skills are advantages.
– A doctoral degree in a relevant field, not older than 7 years. Exceptions will be made for longer periods resulting from parental leave.
– Performed high-quality research.
– Demonstrated ability to establish national and international collaborations.
– Good communication skills, both written and verbal, in English.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. Our aim is to actively improve the gender balance in our faculty. We therefore strongly encourage female applicants for our positions. As an employee at Chalmers, you are given the opportunity to contribute to our active work within the field of equality and diversity. We are working broadly with equality projects, for example the GENIE Initiative on gender equality for excellence.
The application should be marked with Ref 20210283 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, Family name, Ref. number)
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Other, for example previous employments or leadership qualifications and positions of trust
• Documents verifying your doctoral degree, awards & recognitions, continuing education and others relevant to support your application
• Two references that we can contact
Personal letter:(Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous and planned research
• Copies of your most relevant publications in full format (maximum of five publications), as a PDF or Zip file.
• Copies of a maximum of five other publications that support your other qualifications (for example, educational publications and popular science articles).
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).
Application deadline: 5th September 2021
For questions, please contact members of the recruitment group:
Ann-Sofie Cans, Director of the Area of Advance Health Engineering
Dag Wedelin, Department of Computer Science and Engineering
Ross King, Department of Biology and Biological Engineering
Tomas McKelvey, Department of Electrical Engineering