Junior Machine Learning Scientist, Digital Pathology

Jobright.ai; Chicago (IL); On-site; USD 200,000 - 275,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

An innovative AI healthcare company is seeking a Junior Machine Learning Scientist to develop and implement AI models for analyzing digital pathology images. The role involves collaboration with healthcare professionals and requires a Ph.D. or MS in a relevant field. This full-time position offers an opportunity to contribute to advancements in precision medicine while working in a dynamic team environment.

Qualifications

• Strong academic background focusing on healthcare imaging.
• Knowledge of optimization algorithms and regularization techniques.
• Experience with multi-modal medical datasets.
• Publication or patent track record in AI/ML.

Responsibilities

• Develop and validate AI/ML models for digital pathology.
• Collaborate with pathologists and biologists on projects.
• Ensure data quality and integrity for model training.
• Stay updated on AI advancements in healthcare.

Skills

Machine learning concepts

Deep learning

Experience in imaging AI models

Programming in Python

Collaboration and communication

Education

Ph.D. or MS with 2+ years of experience

Tools

PyTorch

TensorFlow

Job description

Junior Machine Learning Scientist, Digital Pathology

Join to apply for the Junior Machine Learning Scientist, Digital Pathology role at Jobright.ai

Junior Machine Learning Scientist, Digital Pathology

Join to apply for the Junior Machine Learning Scientist, Digital Pathology role at Jobright.ai

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Job Summary:

Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. We are seeking a highly motivated and skilled Machine Learning Scientist to join our Digital Pathology Data Science team, where you will design, develop, and deploy AI models and algorithms tailored to healthcare and precision medicine.

Responsibilities:

• Develop and Implement AI/ML Models: Design, train, and validate machine learning models for analyzing digital pathology images (whole-slide images) to perform tasks like biomarkers and outcomes prediction.

• Algorithm Validation and Deployment: Validate ML/AI algorithms analytically and/or clinically, and deploy them into existing workflows or production environments.

• Data Analysis and Curation: Work with large-scale pathology datasets, ensuring data quality and integrity, collecting annotations, and preprocessing for model training and evaluation.

• Collaboration: Collaborate with a multidisciplinary team including pathologists, biologists, statisticians, data analysts, and engineers to integrate AI solutions and transform health care.

• Research and Innovation: Stay updated on the latest advancements in AI, machine learning, digital pathology, and multi-modal healthcare to contribute to ongoing projects and identify new opportunities.

• Biomarker Discovery: Assist in identifying biomarkers from histopathology and spatial omics data to support patient stratification and companion diagnostic efforts.

Qualifications:

Required:

• Ph.D. (or MS and 2+ years of working experience) in Computer Science, Artificial Intelligence, Data Science, Computational Biology, or a related field. A strong academic background with a focus on imaging for healthcare applications is preferred.

• Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, weakly supervised learning and self-supervised learning.

• Extensive experience in developing and implementing imaging AI models, such as ViT, CNNs, Unet, and related architectures including tasks such as classification, segmentation or detection.

• Outstanding analytical and problem-solving skills, with a particular focus on understanding the intricacies of multi-modal medical datasets.

• Proficiency in programming languages and packages commonly used in AI research, such as Python and PyTorch / Tensorflow.

• Strong collaboration and communication abilities.

• Track record in publications, patents, and/or launched products in this space.

Preferred:

• Experience in pre-training and fine-tuning unimodal or multimodal foundation models.

• Experience working with histopathology images, DNA/RNA molecular sequencing data or clinical data (structured EHRs, clinical notes).

• Experience working in an industry setting.

Company:

Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. Founded in 2015, the company is headquartered in Chicago, Illinois, USA, with a team of 1001-5000 employees. The company is currently Public Company. Tempus AI has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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