9 дней назад
Postdoctoral Scientist – Multimodal Representation Learning for Predictive Biology (AI/ML)
92 000 - 111 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Postdoctoral Scientist – Multimodal Representation Learning for Predictive Biology (AI/ML): Developing AI/ML models for drug discovery that integrate high-content imaging, phenomics, transcriptomics, and proteomics with an accent on multimodal representation learning, computer vision, and predictive biology. Focus on building and benchmarking foundation and deep-learning models, quantifying cellular heterogeneity, extracting biological insights, and publishing research findings.
Location: Cambridge, Massachusetts, United States (preferred); Spring House, Pennsylvania, United States; Beerse, Belgium; or Madrid, Spain. No fully remote option.
Base pay: $92,000–$111,000 annually for candidates hired in the United States. Candidates hired outside the United States receive local-market compensation and benefits.
Company
Johnson & Johnson MedTech develops healthcare and medical solutions across Innovative Medicine and MedTech.
What you will do
- Design, develop, implement, validate, and benchmark AI/ML solutions for drug discovery using multimodal data from perturbed cells.
- Analyze high-content imaging, phenomics, transcriptomics, and proteomics data to derive biological insights.
- Develop computer vision methods to quantify the heterogeneity of perturbed cellular systems.
- Collaborate with internal and external scientists and engineers on algorithm and product development.
- Communicate technical methods and findings to cross-functional audiences and stakeholders.
- Maintain documentation and code repositories, and prepare manuscripts for peer-reviewed publications and conferences.
Requirements
- Ph.D. completed within the last three years or expected within the next six months in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related field.
- Strong expertise in AI/ML for biological applications and at least one of representation learning, multimodal integration, computational biology, or imaging microscopy.
- Experience with foundation models and/or multimodal modeling of biological data, including Cell Painting, imaging microscopy, or multi-omics.
- Knowledge of Transformers, CNNs, graph networks, self-supervised learning, multi-instance learning, and multimodal alignment and fusion.
- Programming proficiency, preferably in Python, and experience with PyTorch or TensorFlow.
- Strong communication skills and a publication record in top-tier AI/ML conferences or journals.
Culture & Benefits
- Two-year fixed-term postdoctoral position within the Data, Data Science & Artificial Intelligence organization.
- Work on AI/ML, multimodal modeling, drug discovery, and predictive biology across multiple therapeutic areas.
- Medical, dental, vision, life, disability, business accident, and group legal insurance may be available for eligible employees.
- Eligible employees may participate in pension and 401(k) savings plans.
- Vacation, sick time, holiday pay, and Work, Personal and Family Time are provided according to applicable local conditions.
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