Senior Data Scientist - Computer Vision

Invenex Search is partnered with a global oncology biopharma client with a market cap north of $20B, focused on antibody therapeutics for cancer. We are searching for a (Senior) Deep Learning Data Scientist to focus on Oncology Imaging.

The client is based in New Jersey, and will require a weekly on-site presence. As a result, we will support relocation with a financial package that can be utilised inside 12 months of your start-date.

Responsibilities

Design and implement custom processing pipelines for medical images (CT, MRI, PET) including segmentation, registration, image augmentation, feature extraction, and visualization.

Apply classical and machine learning methods to derive insights from integrating and analyzing clinical response, tumor transcriptomic/genetic data, and radiographic image features

Develop and maintain data curation and analysis pipelines in collaboration with Translational Research, Clinical Development, and Data Science & AI teams.

Work on projects in partnership with technology companies and academic institutes.

Continuously update knowledge on the latest scientific literature and best practices in data science.

Report scientific results in patents, publications, regulatory documents, and product- development reports.

Qualifications

MS or Ph.D. degree in biomedical engineering, physics, computational sciences, or a closely related field with emphasis on medical image processing.

Minimum 4 years of related experience post-PhD, or 10 years post-Master’s.

Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.

Strong programming skills in Python, Matlab and deep learning libraries such as Pytorch and Tensorflow.

Working experience with common open source image processing libraries such as ITK, VTK, MONAI, 3D Slicer and high performance GPU clusters such as AWS, Databricks.

Interested in learning more?

Apply directly or reach out to to discuss further.

Keywords: Translational, Clinical, Imaging, Deep Learning, MRI, CT, Computer Vision, Data Science, Machine Learning, ML, DL, IHC, Immunohistochemistry