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Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

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Postdoctoral Scientist, Oncology Foundation Models

Johnson & Johnson Innovative Medicine is seeking a Postdoctoral Scientist, Oncology Foundation Models. There is a strong preference for the position to be based at one of our sites in Berlin, Germany; Beerse, Belgium; Spring House, PA; Cambridge, MA; Titusville, NJ; or La Jolla, CA. Remote work within the U.S. may be considered on a case-by-case basis, subject to company approval.

Key Responsibilities

In this role, you will join the Data, Data Science & AI organization within Johnson & Johnson Innovative Medicine and contribute to the development and evaluation of foundation models for oncology using large-scale omics and clinical datasets. The work will focus on leveraging single-cell, spatial, and other high-dimensional molecular data to better understand tumor biology, the tumor microenvironment, and clinically relevant disease mechanisms.

You will work closely with Oncology Translational Research and cross-functional scientific teams to translate complex biological data into robust computational models and actionable insights.

In this role, you will:

• Collaborate with Oncology Translational Research to develop computational models that generate insights relevant to precision medicine and drug development.
• Analyze and integrate high-dimensional biological data, including single-cell and spatial transcriptomics, for model development, training, and validation.
• Develop and implement scalable statistical, machine learning, and deep learning approaches using large-scale transcriptomic and multimodal datasets.
• Design rigorous model evaluation strategies, including appropriate benchmarks, validation datasets, and biologically relevant performance metrics.
• Partner with experimental and translational scientists to design studies that enable robust evaluation and interpretation of computational predictions.
• Develop reproducible, modular, and scalable research code consistent with internal software engineering and data integrity standards.
• Communicate methods, model performance, and scientific findings through technical reports, presentations, and peer-reviewed publications.

Qualifications

• Ph.D. completed within the last three years in computer science, artificial intelligence, bioinformatics, computational biology, statistics, or a related quantitative field.
• Strong programming skills in Python; experience with R is desirable.
• Strong background in machine learning, deep learning, statistical modeling, or representation learning.
• Experience developing modular, scalable, and reusable software for computational research or AI/ML applications.
• Experience analyzing large-scale transcriptomic or other high-dimensional biological datasets.
• Demonstrated ability to develop and rigorously evaluate computational models.
• Strong research record, including peer-reviewed publications.
• Strong written and verbal communication skills, with the ability to communicate complex computational concepts to both technical and scientific audiences.

Preferred Qualifications

• Experience applying AI/ML methods to oncology, cancer biology, or drug discovery.
• Experience with single-cell RNA-seq, spatial transcriptomics, or multimodal biological datasets.
• Experience with foundation models, representation learning, transformers, or other large-scale deep learning architectures for biological data.
• Familiarity with cell therapy discovery and development.
• Experience working at the interface of computational modeling and experimental or translational biology.

PG25, Posted Internally, November 12th - November 27th

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The anticipated base pay range for this position is:

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.