Machine learning scientist
Beth Israel Lahey Health
When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s 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 next-generation 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 high-throughput biological data, including single-cell 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 state-of-the-art deep learning models and publish your novel finding.
Required Qualifications:
PhD is required.
3-5 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 hands-on experience with deep learning tools (e.g., PyTorch or TensorFlow-Keras) 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 peer-reviewed publications in AI/ML with at least one first-author peer-reviewed 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.