Principal Scientist, Systems and Disease Biology

Main Responsibilities

• Generating hypotheses on how targets, pathways, and cell types/drug mechanisms drive diseases (immunology, neurology, and oncology disease areas) by integrating multi-omics and multi-modal data, including real-world data and clinical metadata.
• Applying established analytical methods to understand disease and drug mechanisms.
• Leading projects involving internal experiment design and data analytics as well as outsourcing of established workflows and/or complex follow-up mechanistic assays (organoid, CRISPR, proteomics).
• Collaborating with academic, industry, and internal partners on method development and disease-focused scientific studies.
• Supporting the growth of the team by mentoring interns and junior scientists, sharing knowledge, and fostering a collaborative research environment.

About You

• Ph.D. in systems biology, computational biology, biostatistics, or related quantitative field with proven experience in a relevant disease area (Immunology, Neurology or Oncology) OR PhD in biological sciences, biomedical sciences, immunology, neuroscience, oncology or in a related disease area and proven advanced track record of data analytics, ML/AI, or computational biology.
• At least 2 years of post-doctoral experience in relevant academic or industry roles.
• Hands-on experience in ML/AI and building or deploying agentic analysis workflows.
• Extensive hands-on experience and deep knowledge of multi-omics and/or multimodal data analysis, with ability to extract actionable interpretation and conclusions from the analysis.
• Track record of productivity, innovation, and impact (publications or patents).
• Excellent communication, organizational, interpersonal, and team skills; track record of success working collaboratively across disciplines.