Job Details

This role supports discovery research across metabolic and liver-focused programs by driving hands-on execution of complex in-vitro cell models and a broad suite of molecular, biochemical, and imaging-based assays. The scientist will work extensively with advanced mammalian systems, including iPSC-derived tissues, organoids, and primary/3D cultures, and will generate high-quality experimental data to evaluate gene targets and therapeutic candidates.

Core responsibilities include maintaining long-term, high-complexity cell cultures; performing RNA-based assays (RT-qPCR, ddPCR), ELISAs, Western blotting (manual or automated), functional/metabolic readouts, and high-content or confocal imaging. The scientist will contribute to assay development, optimization, and troubleshooting while supporting opportunities to scale assays into higher-throughput or automation-enabled workflows. Strong documentation practices (SOPs, ELN) and clear communication of experimental design and conclusions are essential.

Key Competencies

• Advanced mammalian cell culture expertise, including iPSC-derived, primary, 3D, and long-term systems.
• Proficiency with molecular and biochemical assays, such as RT-qPCR, ddPCR, ELISA-type assays, Western blotting (manual and/or automated), metabolic and functional readouts.
• Experience with imaging-based methods, including immunofluorescence, high-content imaging, confocal microscopy, and quantitative image analysis.
• Ability to develop, optimize, and troubleshoot assays for target characterization and therapeutic evaluation, with a data-driven approach to improving workflows.
• Familiarity with automation platforms (e.g., Hamilton, Agilent) and high-throughput screening concepts.
• Meticulous laboratory technique, strong bench precision, and reliable execution of complex assays.
• Clear, GLP-aligned documentation, including SOP authorship and comprehensive ELN practices.
• Strong communication skills to articulate experimental strategy, observations, data quality, and technical decisions.
• Adaptability to dynamic research priorities and versatility to support multiple discovery programs.