Johnson & Johnson Innovative Medicine
Postdoctoral Scientist, Multimodal Single Cell Foundation Models
Johnson & Johnson Innovative Medicine, New Brunswick, New Jersey, us, 08933
Postdoctoral Scientist, Multimodal Single Cell Foundation Models
Johnson & Johnson Innovative Medicine seeks a fixed-term (2‑year) Postdoctoral Scientist focused on multimodal single cell foundation modeling. The role is based at one of our sites in Spring House, PA; Cambridge, MA; New Brunswick, NJ; or San Diego, CA.
Pay Anticipated base pay range: $77,000 to $108,000 per year.
Locations
Spring House, PA
Cambridge, MA
New Brunswick, NJ
San Diego, CA
Job Description Johnson & Johnson Innovative Medicine is committed to developing therapies that improve lives. This Postdoctoral Scientist will work within the Data Science and Digital Health organization to develop advanced in silico models of immune/autoimmune disease and neurodegenerative disease. You will collaborate across therapeutic areas, mentor junior scientists, and define research strategies that advance our understanding of diseases.
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 network-based in silico immune/autoimmune disease models and/or neurodegenerative disease models. You will play a crucial role in identifying, characterizing and advancing therapeutic candidates for clinical development by providing innovative, multi-modal insights of complex biological regulation through the lens of computational modeling. Your responsibilities will include overseeing collaborations with multidisciplinary teams, driving model development, performing data analysis, and ensuring adherence to best practices in software engineering. You will work alongside biologists, immunologists and/or neuroscientists to convert their biological hypotheses into testable computational outcomes. Together, you will design and implement data-driven strategies to deepen our understanding of biological processes and disease mechanisms. 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
Collaborate with translational research, discovery, and development teams across therapeutic areas to develop AI/ML models that drive biological insights for personalized medicine.
Analyze and integrate high-dimensional biological data from single-cell sequencing, spatial transcriptomics and other modalities for model training and validation.
Develop and implement scalable statistical and machine learning algorithms by using large scale transcriptomics datasets.
Participate in designing experiments that enable rigorous model evaluation alongside cross-functional teams.
Have a strong background in training, fine-tuning, and deploying LLMs, and stay up-to-date with latest advancements and research.
Develop and deploy machine learning models and algorithms to analyze and extract insights from large, complex datasets across multiple modalities.
Ensure the accuracy, reliability, and scalability of the machine learning models and algorithms developed.
Collaborate with data engineering teams to ensure seamless integration and deployment of foundation models into production environments.
Document and communicate best practices and workflows for applying LLM technology in multi-omics data analysis.
Maintain 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 peer‑reviewed publications.
Qualifications
Ph.D. in computer science, artificial intelligence, computational biology, bioinformatics, or a related field, completed within the past 3 years, or to be completed within the next 6 months.
Fluency in Python; proficiency in R and C/C++ a plus.
Proven track record of performing and interpreting large-scale single-cell analyses. Must be able to design informative downstream analyses to identify novel biological insights and confirm in silico results.
Strong background in developing and optimizing machine learning algorithms.
Experience in modular software development with a focus on scalable, reusable code for AI/ML systems.
Expertise in Git version control and adherence to computational research best practices.
Deep knowledge of machine learning techniques and high-dimensional optimization.
Experience analyzing large-scale transcriptomics datasets.
Proven track record of impactful research with publications in top-tier peer-reviewed journals.
Strong communication skills to present complex concepts clearly to both scientific peers and non‑experts.
Preferred Qualifications
Strong background in immunology and/or neuroscience research, and a proven track record of successfully completing biology driven projects.
Knowledge of therapeutic strategies and clinical implications in neuroscience and immune-related diseases across the “gut brain axis”.
Other
This position is based in either Spring House, PA; Cambridge, MA; New Brunswick, NJ; or San Diego, CA, and currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely. (No fully remote option available.)
Equal Opportunity Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource.
Compensation and Benefits Base pay range: $77,000 – $108,000 per year.
Eligible for annual performance bonus per company plan.
Eligibility for company-sponsored benefits: medical, dental, vision, life, disability, accident insurance, group legal insurance.
Retirement plan: 401(k) with company match.
Time off: up to 120 hours vacation per calendar year; up to 40 hours sick time per calendar year; up to 13 days holiday pay (including floating holidays) per calendar year; up to 40 hours per calendar year of work, personal and family time.
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Pay Anticipated base pay range: $77,000 to $108,000 per year.
Locations
Spring House, PA
Cambridge, MA
New Brunswick, NJ
San Diego, CA
Job Description Johnson & Johnson Innovative Medicine is committed to developing therapies that improve lives. This Postdoctoral Scientist will work within the Data Science and Digital Health organization to develop advanced in silico models of immune/autoimmune disease and neurodegenerative disease. You will collaborate across therapeutic areas, mentor junior scientists, and define research strategies that advance our understanding of diseases.
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 network-based in silico immune/autoimmune disease models and/or neurodegenerative disease models. You will play a crucial role in identifying, characterizing and advancing therapeutic candidates for clinical development by providing innovative, multi-modal insights of complex biological regulation through the lens of computational modeling. Your responsibilities will include overseeing collaborations with multidisciplinary teams, driving model development, performing data analysis, and ensuring adherence to best practices in software engineering. You will work alongside biologists, immunologists and/or neuroscientists to convert their biological hypotheses into testable computational outcomes. Together, you will design and implement data-driven strategies to deepen our understanding of biological processes and disease mechanisms. 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
Collaborate with translational research, discovery, and development teams across therapeutic areas to develop AI/ML models that drive biological insights for personalized medicine.
Analyze and integrate high-dimensional biological data from single-cell sequencing, spatial transcriptomics and other modalities for model training and validation.
Develop and implement scalable statistical and machine learning algorithms by using large scale transcriptomics datasets.
Participate in designing experiments that enable rigorous model evaluation alongside cross-functional teams.
Have a strong background in training, fine-tuning, and deploying LLMs, and stay up-to-date with latest advancements and research.
Develop and deploy machine learning models and algorithms to analyze and extract insights from large, complex datasets across multiple modalities.
Ensure the accuracy, reliability, and scalability of the machine learning models and algorithms developed.
Collaborate with data engineering teams to ensure seamless integration and deployment of foundation models into production environments.
Document and communicate best practices and workflows for applying LLM technology in multi-omics data analysis.
Maintain 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 peer‑reviewed publications.
Qualifications
Ph.D. in computer science, artificial intelligence, computational biology, bioinformatics, or a related field, completed within the past 3 years, or to be completed within the next 6 months.
Fluency in Python; proficiency in R and C/C++ a plus.
Proven track record of performing and interpreting large-scale single-cell analyses. Must be able to design informative downstream analyses to identify novel biological insights and confirm in silico results.
Strong background in developing and optimizing machine learning algorithms.
Experience in modular software development with a focus on scalable, reusable code for AI/ML systems.
Expertise in Git version control and adherence to computational research best practices.
Deep knowledge of machine learning techniques and high-dimensional optimization.
Experience analyzing large-scale transcriptomics datasets.
Proven track record of impactful research with publications in top-tier peer-reviewed journals.
Strong communication skills to present complex concepts clearly to both scientific peers and non‑experts.
Preferred Qualifications
Strong background in immunology and/or neuroscience research, and a proven track record of successfully completing biology driven projects.
Knowledge of therapeutic strategies and clinical implications in neuroscience and immune-related diseases across the “gut brain axis”.
Other
This position is based in either Spring House, PA; Cambridge, MA; New Brunswick, NJ; or San Diego, CA, and currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely. (No fully remote option available.)
Equal Opportunity Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource.
Compensation and Benefits Base pay range: $77,000 – $108,000 per year.
Eligible for annual performance bonus per company plan.
Eligibility for company-sponsored benefits: medical, dental, vision, life, disability, accident insurance, group legal insurance.
Retirement plan: 401(k) with company match.
Time off: up to 120 hours vacation per calendar year; up to 40 hours sick time per calendar year; up to 13 days holiday pay (including floating holidays) per calendar year; up to 40 hours per calendar year of work, personal and family time.
#J-18808-Ljbffr