Research Scientist II

Develop, evaluate, and implement innovative NGS methods and protocols, with emphasis on single-cell RNA sequencing and spatial multimodal applications or multi-omics applications to enhance platform capabilities and provide comprehensive insights into disease mechanisms and therapeutic targets Independently perform experiments, analyze data, and generate high-quality reports. Apply scientific rigor to ensure the generation of FAIR-compliant data. Collaborate with wet lab and bioinformatics teams to interpret complex sequencing datasets and provide actionable insights to project teams Present protocols and results to internal stakeholders

Single-cell and spatial omics technologies are transforming biomedical research by enabling deep characterization of complex biological systems at unprecedented resolution. These approaches provide unique insights into cellular heterogeneity, rare cell populations, disease mechanisms, and treatment responses across a wide range of preclinical and translational research applications. We are seeking scientists who are passionate about applying cutting-edge omics technologies, leveraging large-scale datasets, and working at the interface of experimental biology, data science, and translational research to accelerate scientific innovation and therapeutic discovery.

• Master’s degree in Biochemistry, Molecular Biology, Biotechnology, Life Sciences, or a related discipline with 1-2 years industry experience specifically in genomics, _in-situ_ hybridization, imaging and spatial techniques

• Direct, demonstrable experience with advanced molecular technologies, particularly Next-Generation Sequencing (NGS) workflows

• Exceptional proficiency in molecular biology techniques, including nucleic acid extraction, PCR/qPCR, and NGS library preparation

• Experience working with challenging clinical sample types (e.g., FFPE tissue, primary tumor cells, low-input samples)

• Experience and enthusiasm for developing and refining experimental methods

• Ability to independently conduct experiments, evaluate data, and communicate findings effectively

• You have an exceptional ability to collaborate within and across matrix teams, enabling both effective independent and team-based work in a diverse and heterogeneous environment