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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Neuss, North Rhine-Westphalia, Germany, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Senior Scientist, Single-Cell Foundation Models

Johnson & Johnson Innovative Medicine is currently seeking a Senior Scientist, Single-Cell Foundation Models with a strong preference for this individual to be located at one of our sites in Berlin, Germany, Beerse, Belgium, Spring House, PA, Cambridge, MA, Titusville, NJ, or La Jolla, CA (Remote work options within the US may be considered on a case-by-case basis and if approved by the company).

Key Responsibilities:

In this role, you will join the Data Science and Digital Health organization within Johnson and Johnson Innovative Medicine, focusing on leading the development of advanced foundational models using large-scale single-cell sequencing data. You will play a crucial role in understanding the clinical implications of complex biological systems by leveraging innovative algorithms and high-performance computing. Your responsibilities will include overseeing collaborations with multidisciplinary teams, driving model development, performing data analysis, and ensuring adherence to best practices in software engineering. Additionally, you will provide technical leadership, mentor junior scientists, and define research strategies to advance our understanding of various diseases and their underlying mechanisms.

In This Role, You Will:

·Lead collaborations with Translational Research, Discovery, and Development teams to develop AI/ML models that drive insights for personalized medicine.

·Analyze and integrate high-dimensional biological data from spatial transcriptomics and single-cell sequencing for model training and validation.

·Develop and implement scalable statistical and machine learning algorithms using large-scale transcriptomics datasets.

·Oversee the design of experiments that facilitate rigorous model evaluation in collaboration with cross-functional teams.

·Ensure compliance with internal coding standards, data integrity practices, and reproducibility protocols for research outputs.

·Communicate model performance and research findings effectively through technical reports, presentations, and contributions to peer-reviewed publications.

·Mentor junior researchers and provide technical leadership to enhance team capabilities and research output.

Qualifications:

• Ph.D. in computer science, artificial intelligence, software engineering, or a related field with 2+ years of relevant postdoctoral or industry experience.
• Proficient in Python and C/C++.
• Demonstrated ability to design and implement reproducible workflows for large scale transcriptomics data analysis.
• Strong background in developing and optimizing machine learning algorithms.
• Proven track record of impactful research with publications in top-tier peer-reviewed journals.
• Experience in defining research strategies and setting project milestones to drive innovation in foundational models.
• Strong communication skills to present complex concepts clearly to both scientific peers and non-experts.

Preferred qualifications:

• Experience in oncology and/or immunology research.
• Knowledge of therapeutic strategies and clinical implications in cancer and immune-related diseases.
• INTERNAL JOB POSTING: PG26 April 17th 2025 - May 5th 2025