Senior Scientist, Computer Vision, Translational Data Science

At Genmab, we’re committed to building extra not ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases.

From our people who are caring, candid, and impact-driven to our business, which is innovative and rooted in science, we believe that being proudly unique, determined to be our best, and authentic is essential to fulfilling our purpose.

The RoleAs 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.ResponsibilitiesDesign 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 featuresDevelop 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.

RequirementsMS 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 : $114,375.00 $190,625.00The 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 YouYou are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatmentYou bring rigor and excellence to all that you do.

You are a fierce believer in our rooted-in-science approach to problem-solvingYou are a generous collaborator who can work in teams with diverse backgroundsYou are determined to do and be your best and take pride in enabling the best work of others on the teamYou are not afraid to grapple with the unknown and be innovativeYou 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 soLocationsGenmab 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.

About GenmabGenmab is an international biotechnology company with a core purpose guiding its unstoppable team to strive towards improving the lives of patients through innovative and differentiated antibody therapeutics.

For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.

To help develop and deliver novel antibody therapies to patients, Genmab has formed 20+ strategic partnerships with biotechnology and pharmaceutical companies.

By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO™) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with locations in Utrecht, the Netherlands, Princeton, New Jersey, U.

S. and Tokyo, Japan. Our commitment to diversity, equity, and inclusionWe are committed to fostering workplace diversity at all levels of the company and we believe it is essential for our continued success.

No applicant shall be discriminated against or treated unfairly because of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or genetic information.

Learn more about our commitments on our website. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website https : / / www.

genmab.com / privacy.Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the fixed-term employment contract.