Senior Scientist, Computer Vision, Translational Data Science

The Role

As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.

In this key role, you will leverage advanced AI tools, particularly in imaging, to deepen our scientific insights into disease processes and the impact of our medicines.

We have a hybrid model that requires being onsite weekly in Princeton, NJ.

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 to bring new AI capabilities to Genmab.

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.

Requirements

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.

Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus.

Proven track record in developing deep learning models and working with large-scale image datasets.

Experience in clinical trial data analysis, especially in the oncology setting.

Personal Attributes :

Exceptional communication and presentation skills.

Ability to collaborate effectively with a diverse and global team.

Creative, proactive, and goal-oriented with a 'getting things done' mentality.

Strong professional skills, capable of working in a fast-paced, multicultural environment.

For US based candidates, the proposed salary band for this position is as follows :

$,.00 $,.00

The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location.

Also, certain positions are eligible for additional forms of compensation, such as bonuses.

About You

• You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatment
• You bring rigor and excellence to all that you do. You are a fierce believer in our rooted-in-science approach to problem-solving
• You are a generous collaborator who can work in teams with diverse backgrounds
• You are determined to do and be your best and take pride in enabling the best work of others on the team
• You are not afraid to grapple with the unknown and be innovative
• You have experience working in a fast-growing, dynamic company (or a strong desire to)
• You work hard and are not afraid to have a little fun while you do so

Locations

Genmab leverages the effectiveness of an agile working environment, when possible, for the betterment of employee work-life balance.

Our offices are designed as open, community-based spaces that work to connect employees while being immersed in our state-of-the-art laboratories.

Whether you’re in one of our collaboratively designed office spaces or working remotely, we thrive on connecting with each other to innovate.