Associate Scientist/Scientist Digital Pathology


Associate Scientist/Scientist Digital Pathology

We seek a highly motivated Associate Scientist / Scientist within the Oncology Biomarker Development (OBD) Data Science Digital Pathology Group, to drive digital pathology biomarker development and diagnostic development using image analysis and machine learning. In this role, you will collaborate with pathologists, cancer biologists, bioinformaticians, statisticians and AI engineers. Your work will help target our therapies to the patients who are most likely to benefit, and understand tumor biology to build the cancer-curing medicines of tomorrow. 

As an Associate Scientist / Scientist, you are expected to:

  • Design and implement digital pathology strategies for individual biomarker development programs 

  • Collaborate with interdisciplinary teams to select, optimize and apply algorithms to advance our digital pathology-based biomarker development activities

  • Drive scientific and technical innovations collaboratively with other members of the department

  • Support publications in high impact scientific, technical or medical journals

  • Analyze data supporting innovative clinical development programs

  • Represent the digital pathology team through interactions with our key investigators and public presentations

  • Participate and thrive in a fast-paced, interactive and team-oriented culture

Who You Are 

  • Record of scientific leadership as evidenced by first or senior author peer reviewed publications in top tier journals and patents

  • Outstanding presentation and communication skills are a must.

  • The candidate must hold a PhD in the biomedical or engineering field, and / or a MD / DVM or equivalent degrees in pathology. It is imperative that candidates demonstrate both an understanding of cancer biology as well as computational imaging methods.  

  • Minimum of 2 years postdoctoral experience in basic or translational research either in an academic or industry setting

  • Experience with digital pathology is strongly preferred.  Experience with H&E and IHC image analysis, cell phenotyping using multiplexed imaging data, and common digital pathology software such as Visiopharm or HALO would be assets.

  • Familiarity with machine learning and algorithm development with Python and/or MATLAB in the imaging or computer vision field would be valuable.

  • Experience in clinical drug development, bioinformatics, biostatistics or medical devices is beneficial

  • Excellent team working skills and experience working in an interdisciplinary environment.