The Early Biomarker Development Oncology (EBDO) Team is responsible for identification and validation of candidate molecular biomarkers used for demonstration of pharmacodynamic effects and mechanism-of-action, as well as for response prediction and patient selection / stratification in early clinical trials. The EBDO Team supports the whole oncology portfolio and closely interacts with Discovery and Early Clinical Development.
As a Computational Pathology Scientist, you are part of the Digital Pathology team within EBDO and are responsible for developing digital pathology and spatial analysis approaches to support the tissue biomarker strategy across Oncology projects. You generate key insights from tissue data to support drug development decision making.
You are part of a cross-functional Digital Pathology team to be at the forefront of tissue biomarker research for Oncology
You are an expert on analysis of tumor tissue and its application to Drug Development, including Digital Pathology and multi-dimensional analysis
You work alongside pathologists to develop machine learning algorithm prototypes
You propose image-derived data analysis to answer scientific questions
You use your expertise to guide and challenge the use of tissue biomarkers
You lead external academic partnerships and internal collaborations as they relate to biomarker algorithm development
You scout innovative technologies and interact with stakeholders to advise on imaging related analysis and workflows.
You have a PhD in the field of image analysis, biomedical imaging, biomedical data science, statistics, machine learning, or computer vision, with experience in deep learning, image analysis and analysis of image derived data, and a strong publication record.
With at least 5 years of professional experience in Research and Development
Experience in developing digital tissue analysis techniques for immuno-histochemistry, multiplex immuno-fluorescence, and spatial-omics approaches
Experience and interest in developing cutting edge digital pathology approaches are required.
Expertise in the discovery, development and utilization of biomarkers and biomarker technologies
Previous knowledge in the field of Oncology/ cancer biology (preferred)
Expertise in tissue biomarkers, including digital pathology, image analysis and data analysis
Proficient in programming languages such as Python, Matlab, R, C++
Team player: you are capable of working independently, but you enjoy working in a team where there is no single hero and both successes as well as failures are accounted for by the whole team
Curiosity and drive: you are willing to propose and explore new ideas by your own initiative. You take ownership and are able to engage people to work on innovative approaches
Strategic thinking: you see the big picture, take changes as an opportunity to grow, understand end-to-end processes
Matrix Leadership: you are a good communicator and have strong persuasion and influencing capabilities to drive project needs and lead others in a matrix environment, you are able to manage multiple interfaces
Personality: you are goal-oriented, have a strong drive, analytical mindset and motivation to achieve excellence.
Genentech, Inc., is a biotechnology corporation which became a subsidiary of Roche in 2009. The company was founded in 1976 by venture capitalist Robert A Swanson and biochemist Herbert Boyer. Genentech Research and Early Development operates as an independent center within Roche. As of September 2016, Genentech employed 14,815 people.