Role Summary
The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative working environment. You will participate in original studies that span from basic research to translation studies, directly impacting the lives of patients. You will also have the opportunity to develop novel computational methods from internal and external big data resources. You will join a diverse and inspiring team which cultivates discussion across scientists of differing backgrounds at the exciting intersection of multi-omics, technology development, machine learning, and immuno-oncology. We work closely with biological researchers from different scientific functions, especially the departments of Oncology, Immuno-Oncology, and Early Clinical Development to address critical scientific questions.
Responsibilities
- Lead computational efforts in the Immuno-Oncology (IO) field by developing or applying cutting-edge methods from bulk RNA sequencing, single cell multi-omics, spatial transcriptomics and other sequencing technologies.
- Work in concert with oncology pre-clinical and clinical teams to design and analyze multi-omics sequencing experiments for target identification, target advancement, biomarker discovery, and clinical profiling
- Prepare clear, concise presentations for collaborators and senior management.
- Publish and present novel findings in peer-reviewed journals and conferences.
- Implement and develop analysis pipelines using cutting-edge algorithms and statistically sound methodologies.
Qualifications
- Required: Be an enthusiastic and motivated scientist who values independent research in an open and collaborative working environment
- Required: PhD 0-2 years experience
- Required: MS -4+ years experience