Systems Biology Scientist

Start Date: As soon as possible / by arrangement

ABOUT DAINA

DAiNA is a precision-oncology company focused on enabling personalized cancer treatment for individual patients. We combine comprehensive molecular tumor data including genomics, transcriptomics (bulk, single cell and spatial), proteomics and epigenetics, with AI-driven analysis. Our platform connects multi-omic profiling with functional ex-vivo tumor models and personalized liquid-biopsy monitoring, creating a continuous workflow from biopsy and treatment selection through to therapy monitoring and adaptation.

We also operate GMP manufacturing to produce individualized N=1 therapeutics. In short, we help physicians make more informed, personalized treatment decisions based on high-dimensional molecular tumor data.

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THE ROLE

As Systems Biology Scientist, you will help translate DAiNA’s high-dimensional molecular and functional data into mechanistic understanding of each patient’s tumor biology. You will work at the interface of multi-omics analysis, cancer biology, resistance modelling, ex-vivo functional testing and longitudinal liquid-biopsy monitoring.

Your role will be to build and apply models that connect molecular tumor profiles with functional drug-response data and in-vivo disease dynamics. This includes identifying potential resistance mechanisms, tumor-evolution trajectories and biologically plausible therapy vulnerabilities that can inform personalized treatment strategies.

Working closely with bioinformatics, AI/ML, wet-lab, clinical and external academic partners, you will contribute to DAiNA’s digital-twin and precision-oncology platform by turning complex biological data into actionable, testable and clinically relevant hypotheses.

WHAT YOU’LL DO:

• Integrate genomics, transcriptomics, single-cell/spatial data, proteomics, epigenetics, functional ex-vivo data and liquid-biopsy signals into coherent biological models.
• Contribute to DAiNA’s digital-twin development by linking molecular profiles, functional assay results and longitudinal clinical or ctDNA data.
• Model potential resistance trajectories, drug-tolerant persister states and escape mechanisms to support personalized therapy adaptation.
• Translate multi-omics and functional data into biologically meaningful hypotheses for therapy selection, combination strategies and follow-up monitoring.
• Evaluate and integrate relevant pathway databases, network models, biological priors, literature evidence and cancer knowledge resources.
• Collaborate with academic advisors, clinical experts and external partners where additional disease-specific or modelling expertise is needed.

WHAT YOU BRING:

• PhD in systems biology, computational biology, cancer biology, bioinformatics, physics, applied mathematics, biomedical engineering or a related quantitative discipline.
• Strong background in mechanistic, network-based, dynamical-system or predictive modelling of biological systems.
• Solid understanding of cancer biology, tumor evolution, therapy resistance and/or tumor microenvironment biology.
• Experience working with multi-omics data, ideally including genomics, transcriptomics, proteomics, epigenetics, single-cell or spatial data.
• Strong programming skills in Python and/or R, with the ability to build reproducible analyses and usable modelling workflows.
• Strong scientific judgement and ability to distinguish robust biological signals from noise, artifacts or overinterpretation.
• Ability to communicate complex biological and modelling concepts clearly to computational, wet-lab, clinical and management stakeholders.

NICE TO HAVE:

• Experience in oncology, precision medicine, translational cancer research or patient-specific therapy modelling.
• Experience integrating ex-vivo…