Machine Learning / Computational Scientist (Same-Cell Biology) 80-100% (m/f/d)

The Machine Learning / Computational Scientist role at Cytosurge focuses on developing models that leverage the company's Live-seq technology. Cytosurge specializes in non-destructive cell sampling, allowing for the measurement of the same cell before and after perturbations. This capability is crucial in the biotech industry, where understanding the causes of cellular responses can significantly impact the success of clinical trials and drug development. The primary responsibilities of the Machine Learning / Computational Scientist include designing, building, and validating computational models that convert paired same-cell data into causal insights. This involves evaluating existing methods, developing an in-silico engine for mechanistic understanding, and maintaining the pipeline's architecture to ensure scalability. The role also requires collaborating with a cross-functional team to translate biological questions into testable causal ones, guiding the program's direction and prioritizing wet-lab work. To qualify for this position, candidates must have an MSc or PhD in a relevant quantitative field, such as machine learning, statistics, or computational biology, with a strong background in causal and statistical ML or mechanistic modeling of biological systems. Experience in machine learning and computational modeling applied to biology, particularly in areas like perturbation-response prediction and gene-regulatory-network inference, is essential. Proficiency in handling complex, noisy data and a solid foundation in experimental design and statistical methods are also required. Nice-to-have skills include a critical view of current computational methods in cell prediction and the ability to work with single-cell omics data and multi-modal ML. The role offers a dynamic work environment with a small, agile team, structured goal setting, and opportunities for professional growth. The position is based in a collaborative setting where ideas are valued, and there is a high potential for impact and innovation. What the role asks for: - MSc or PhD in machine learning, statistics, mathematics, computational biology, physics or a related quantitative field, or equivalent research experience. - Experience in causal and statistical ML, or mechanistic modelling of biological systems. - Experience in machine learning and computational modelling applied to biology and cell prediction models. - Hands-on experience with single-cell omics data, multi-modal ML. - Comfortable with complex, noisy data (temporal, transcriptomic and phenotypic) in the small-sample regime. - Fluent in the Python ML stack. - Business fluency in English.