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DDLS industrial PhD position
We are announcing the position of Data-driven life science (DDLS) PhD student in data driven cell and molecular biology.
This is an Industry PhD Project which is a collaboration between Stockholm University and Merck AB, an affiliate of Merck KGaA Darmstadt, Germany (Merck AB). The PhD student will be employed by Merck AB but registered and accepted to the PhD program at Stockholm University.
Project description
Project title: \"Deep learning modeling of spatial biology data for expression profile-based drug repurposing\".
A new exciting opportunity is combining spatial biology with AI-driven modeling of gene expression responses to drug treatment in the field of drug repurposing. Drug repurposing involves identifying new therapeutic uses for existing medications, a strategy that can significantly reduce the time and cost required to bring a drug to market. The project will use AI models such as CycleGANs, that by learning from complex spatial gene expression profiles and cellular heterogeneity within tissues can predict how existing drugs might act on previously uncharacterized disease mechanisms or cellular subtypes. These models will be employed to translate spatial gene expression profiles from healthy tissues to disease states, and vice versa. This capability will allow researchers to simulate the effects of drug treatments on spatially resolved gene expression without the need for extensive experimental data. By learning the underlying mappings between these domains, synthetic data will be generated that reflects potential drug responses, thereby enhancing the predictive power of our models.
Qualification requirements
To be admitted to postgraduate education, the applicant must meet the general and specific entry requirements. The qualification requirements must be met by the deadline for applications.
You meet the general entry requirements if you have completed a second cycle degree or completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.
In order to meet the specific entry requirements, for acceptance in the Biochemistry, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis).
Additional Preferred Qualifications:
Prior exposure to deep learning frameworks (e.g., TensorFlow or PyTorch) and an understanding of state-of-the-art data preprocessing techniques.Demonstrated experience in integrating omics data with computational models.Familiarity with the interpretation of spatial biology datasets, and a willingness to engage in interdisciplinary research initiatives.Selection
The selection amongst the eligible candidates will be based on their capacity to successfully complete the program. Important criteria when assessing this capacity are; documented knowledge and skill in the field of the thesis project, written and oral proficiency in English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence.
The assessment will be based on:
Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any experience working with deep learning methods for biomedical applications.Academic and Project Excellence: Evidence of high-quality research work, as demonstrated by academic grades, the merit of prior degree projects, and relevant research or industry experience.Soft Skills and Research Attributes: Excellent written and oral proficiency in English, strong analytical and problem‐solving skills, and the ability to think creatively and independently. Evidence of initiative, effective teamwork, and interdisciplinary collaboration is highly valued.Personal Motivation and Fit: A comprehensive, well-articulated motivation letter outlining the candidate’s interest in driving innovations at the intersection of AI and spatial biology. Additional assessments through interviews and references will provide further insights into the candidate’s potential for success.Admission Regulations for Doctoral Studies at Stockholm University.
DDLS and the Department of Biochemistry and Biophysics at Stockholm University
SciLifeLab (SciLifeLab) is a national center for molecular biosciences with a focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also collaborates with several other universities.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK (about 290 M USD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.
In 2025 the DDLS Research School will be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see scilifelab.se/data-driven/ddls-research-school/
The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!
A new employment as a doctoral student is for a maximum of one year, the employment is then renewed for a maximum of two years at a time.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!