School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH
Job description
The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/) is part of the platform of Proteomics at SciLifeLab (https://www.scilifelab.se/). The group also belongs to the Department of Protein Science at the School of Chemistry, Biotechnology and Health at KTH. Our focus is on biomarkers in body fluids.
We are seeking a data scientist dedicated to clinical proteomics and biomarkers discovery and validation studies. This role will focus on building robust data management and analysis workflows for large epidemiological cohorts and clinical projects, supporting both tailored user analyses and internal projects. A key component will be the development of pipelines and applications for data quality control, as well as methods to analyse and integrate diverse types of clinical and proteomics data across platforms. The successful candidate will also support cross-platform data harmonization and provide high-quality bioinformatics support in collaborative validation studies, ensuring that SciLifeLab’s proteomics infrastructure remains a cornerstone in precision medicine.
Qualifications
Requirements
- Education: A graduate degree or an advanced level (higher education) in Bioinformatics, Computational Biology, Biostatistics, or a related life sciences field with extensive relevant experience (4+ years)
- Programming: Advanced proficiency in Python, R, or similar programming languages.
- Bioinformatics background: Industry or academic experience in applying data science to biomarker discovery/validation studies, clinical research, or translational science.
- Workflows: Proven track record in developing and implementing workflows to analyze biological data (e.g., proteomics, genomics, transcriptomics or multi-omics)
- Communication: Excellent english communication skills and ability to work in collaborative international research environments with positive attitude toward service-oriented work.
- Personal skills: As a person, you are: communicative; team player; self-driven; goal-and result-oriented; good in record keeping; flexible and with good attitude at creative-thinking.
Preferred qualifications
- Advanced degree: A Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or a related life sciences and/or 5–10+ years of experience may be preferred.
- Multiomics integration: Experience integrating proteomics with other omics data
- Specialized skills: Proven track record in analyzing affinity proteomics data (e.g., Olink, SomaScan, Luminex,Quanterix). Experience with data visualization tools (e.g., ggplot2, seaborn, Shiny, Plotly).
- Applications: Experience with biomarkers and epidemiological studies: survival analysis, longitudinal modeling, multivariate analysis, and Bayesian statistics. Experience with statistical modeling, machine learning, and AI techniques applied to biomedical data is a plus.
- Clinical Proteomics: Experience with clinical trial data, real-world evidence (RWE), and biomarker-driven trial designs is a strong plus. Familiarity with regulatory requirements (e.g., FDA, EMA) for biomarker validation and companion diagnostics.
- Awareness of diversity and equal opportunity issues, with specific focus on gender equality
Great emphasis will be placed on personal skills.
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it’s like to work and grow at KTH.
Trade union representatives
Contact information to trade union representatives.
To apply for the position
Log into KTH’s recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
The application must include:
- CV including relevant professional experience and knowledge.
- Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
- Personal letter, maximum 2 pages long. Maximally two pages long.
Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
About the employment
The employment is valid until further notice (permanent post) according to agreement.
The employment begins with a six-month probationary period.