24 часа назад
Associate Scientist, Informatics II (AI)
58 656 - 110 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Associate Scientist, Informatics II (AI/Digital Pathology): Developing and deploying automated image analysis workflows for histopathology, spatial biology, and multimodal omics datasets with an accent on machine learning, deep learning, and scientific programming. Focus on cell segmentation and phenotyping, biomarker quantification, image registration, scalable data pipelines, and integrating large imaging databases for translational research.
Location: Worcester, Massachusetts, United States; onsite role
Salary: $58,656–$110,500 base pay annually
Company
develops medicines and healthcare solutions across immunology, oncology, neuroscience, and aesthetics.
What you will do
- Develop, validate, and deploy automated image analysis workflows for histopathology and spatial biology using platforms such as Visiopharm and QuPath.
- Design machine learning and deep learning methods for cell segmentation, phenotyping, biomarker quantification, and spatial analysis.
- Perform image registration, de-arraying, and alignment for multimodal imaging datasets, including histology, multiplex immunofluorescence, and spatial transcriptomics.
- Build Python scripts, automated pipelines, scalable compute workflows, and integrated database systems for high-throughput image processing.
- Troubleshoot software issues and collaborate with pathologists, biologists, bioinformaticians, computational scientists, and third-party software engineers.
- Present analytical results, document workflows and algorithms, and contribute to publications and scientific innovation initiatives.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Biology, or a related field with typically 3 or more years of experience, or a relevant master’s degree.
- Experience with digital pathology and image analysis platforms such as Visiopharm, HALO, QuPath, or ImageJ.
- Strong proficiency in Python and scientific computing libraries including NumPy, Pandas, SciPy, or scikit-learn.
- Working knowledge of AWS, scalable computational workflows, and database infrastructure.
- Proficiency with data analysis tools such as GraphPad Prism, Spotfire, or Excel.
- Strong problem-solving, communication, documentation, and collaboration skills.
Nice to have
- Pharmaceutical industry experience.
- Knowledge of molecular pathology techniques, including immunohistochemistry, immunofluorescence, or in situ hybridization.
- Experience with spatial transcriptomics and multiplexed immunofluorescence images.
- Background in biology or immunology supporting translational research.
Culture & Benefits
- Work in an AI-driven digital pathology research group focused on quantitative and translational pathology.
- Paid vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) benefits for eligible employees.
- Eligibility for short-term incentive programs.
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