Overview
We are seeking a highly talented and self-motivated research assistant with experience in data science and machine learning/artificial intelligence to join our research team under Dr. Ayoosh Pareek consisting of surgeons/sports physicians/radiologists who work at top U.S. medical centers. If you are passionate about AI in medicine - particularly computer vision, self-supervised learning, generative AI and enjoy experimenting with innovative ideas, we invite you to join our dynamic team.
A stipend is provided. Applications are considered on a rolling basis. This posting is for a two-year term.
Who can apply?
- Medical students and non-medical students interested in healthcare AI research
- Researchers with technical expertise (especially with regards to deep learning in medicine)
- Exceptional international applicants will be considered
You are someone technical who is good at/familiar with:
- Building, debugging, and training SOTA deep learning models quickly
- Reproducing and improving upon the DL research papers related to the projects
- Working with real world and complicated healthcare datasets to organize and clean the data
- Building flexible machine learning infrastructure / codebases to allow for experimenting with various ideas quickly for each project
- Building a simple UI front-end using frameworks like Streamlit, Gradio, etc. allowing for easy access to the final models and pipelines.
Qualifications:
- Strong Python programming skills (can confidently code in frameworks like Numpy, Pandas, Matplotlib, ScikitLearn)
- 3+ years of experience with PyTorch (PyTorch Lightning, MONAI, FastAI), developing and training deep learning models, mostly for computer vision applications
- Experience working with medical datasets in computer vision (X-rays, CT scans, MRIs)
- Experience working with MONAI platform/another platform for developing DL models on medical data
- Familiarity with segmentation software
- Experience studying AI in medicine research papers and reproducing their results
- Experience with GPU providing cloud services and working with virtual machines
- Experience working with ML experiment tracking tools like W&B, MLFlow, etc.
- Having a continuous learning mindset and willingness to experiment with new ideas
- Being self-motivated and showing a strong sense of commitment and ownership to the assigned projects
Nice to have:
- Experience working with 3D data
- Experience with MLOps tools
- Manuscript preparation experience
- Grant writing experience
Other opportunities:
- Shadow clinicians in the clinic setting or work with them in other capacities (operating room)
- Work with other physicians/surgeons/radiologists at Hospital for Special Surgery
- Work with the digital health team at Hospital for Special Surgery
- Flexibility to work on multiple projects (not only the ones focused on machine learning)
Application:
- CV
- Two letters of recommendation (one letter on technical skills preferred)
- If medical student, please include Step 1 score and medical school transcript
- Cover Letter
- Steps to apply: (1) Please submit an application (combined with all documents in one PDF) through this google forms link - forms.gle/xf8qWw3UBzXyVQFcA and (2) Send an email to PareekA@hss.edu indicating you applied.
Next Steps:
- Once the application is submitted, we will review your application, send you a confirmation of reception.
- If suitable, you will undergo at least two interviews (one technical)
- You will need to complete a coding assignment before being considered as an eligible candidate
Questions?
- Contact PareekA@hss.edu
- We will not be monitoring this orthogate account - please do not contact us via this platform.
