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You will be updated with latest job alerts via emailWhen you join the growing BILH team youre not just taking a job youre making a difference in peoples lives.
Beth Israel Deaconess Medical Center and Harvard Medical School has an exciting opportunity to join our team as a Machine Learning and Artificial Intelligence Scientist. You will be part of an interdisciplinary team of Scientists and AI Scientists to develop nextgeneration technologies. As an ML/AI scientist you will lead technical projects in and will be responsible for creating project plans and implementing and evaluating new ML/AI algorithms. You will also work closely with our industrial partners to implement your new methods and systems.Job Description:
Primary Responsibilities:
As an ML/AI Scientist you will collaborate with other group members to design and develop innovative AI/ML tools to understand highthroughput biological data including singlecell RNA sequencing.
Develop novel AI/ML tools to improve our ability to predict cell responses to perturbations.
Collaborate with Scientists with our industry partners to implement and integrate our AI/ML models.
Provide technical guidance to lab members on projects at the intersection of engineering and molecular biology.
Conduct research in stateoftheart deep learning models and publish your novel finding.
Required Qualifications:
PhD is required.
35 years of related work experience in academia or industry is required.
Excellent coding skills in C and Python; skills and ability to quickly prototype in Python are required.
Strong handson experience with deep learning tools (e.g. PyTorch or TensorFlowKeras) is required.
Documented history of completed software projects (e.g. GitHub) is required.
Familiarity with model ML/AL algorithms (e.g. Transformers Diffusion Models) is required.
Track record of peerreviewed publications in AI/ML with at least one firstauthor peerreviewed publication is required.
Strong communication and writing skills are a must.
Proficiency with medical imaging libraries like PyDicom ITK Open CV and HDF5 format is a preferred.
Full-Time