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J&J Innovative Medicine

Postdoctoral Scientist in Multimodal Representation Learning for Predictive Biology Johnson & Johnson Innovative Medicine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Two-year fixed-term postdoctoral position. The posting lists an anticipated base pay range of $92,000 to $111,000 for U.S. hires, with eligibility for annual performance bonus and company benefits; compensation and benefits outside the U.S. follow local market terms.

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Country

United States

University

J&J Innovative Medicine

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Deep Learning
Biology
Computational Biology
Computer Vision
Omics
Statistics
ML

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About this position

Johnson & Johnson Innovative Medicine is recruiting a Postdoctoral Scientist – Multimodal Representation Learning for Predictive Biology within the Data, Data Science & Artificial Intelligence (DDSAI) organization.

This is a two-year fixed-term postdoctoral position focused on AI/ML, multimodal representation learning, predictive biology, drug discovery, imaging microscopy, and multi-omics. The work involves developing and validating advanced models for perturbed cellular systems using heterogeneous biological data such as high-content imaging, phenomics, transcriptomics, and proteomics.

The role is based at one of several locations: Cambridge, Massachusetts (preferred), Spring House, Pennsylvania, Beerse, Belgium, or Madrid, Spain. There is no fully remote option.

Applicants should hold a Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related field. The PhD must have been completed within the last 3 years or be expected within the next 6 months. Strong experience in AI/ML for biological applications, deep learning, multimodal modeling, and programming in Python with frameworks such as PyTorch or TensorFlow is expected. Publication record and strong communication skills are emphasized.

The posting includes a U.S. salary range of $92,000 to $111,000, plus eligibility for bonus and employee benefits for U.S. hires. Candidates outside the U.S. are compensated according to local market terms.

To apply, use the online Workday application portal and submit your materials for the requisition matching your preferred location.

Funding details

Two-year fixed-term postdoctoral position. The posting lists an anticipated base pay range of $92,000 to $111,000 for U.S. hires, with eligibility for annual performance bonus and company benefits; compensation and benefits outside the U.S. follow local market terms.

What's required

Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related major; PhD completed within the last 3 years or to be completed within the next 6 months. Strong technical expertise in AI/ML for biological applications, with analytical strength in representation learning, multimodal integration, computational biology, or imaging microscopy and a proven publication record in top-tier AI/ML conferences or journals. Experience with foundation models and/or multimodal modeling of biological data such as Cell Painting, imaging microscopy, and multi-omics. Solid knowledge of deep-learning architectures including Transformers, CNNs, graph networks, self-supervised learning, and multi-instance learning. Proficiency in Python and AI frameworks such as PyTorch or TensorFlow. Strong communication skills and ability to present results in a multi-functional setting.

How to apply

Apply through the Johnson & Johnson Workday application portal using the Apply now link. Choose the requisition that matches your preferred location (USA, Belgium, or Spain) and submit your application materials online.

More information can be found here

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