Join Us
We are always searching for talented team members to join us. Here are just some examples of roles we are looking for. Please directly email the PI (sywang at stanford dot edu) with your resume and cover if interested in working with us.
Postdoctoral Researcher
The Stanford Optima Group is seeking a highly motivated and skilled postdoctoral researcher to lead machine learning projects investigating model fairness and model generalizability across multi-institutional electronic health records databases. The researcher will have access to the real-world EHR data from almost 20 sites across the United States as well as clinical imaging and testing data from Stanford.
Project themes will include developing models using EHR data to predict outcomes in ophthalmology and glaucoma, as well as investigating methods to improve prediction model generalizability, model fairness, and generalizability of fairness across different clinical sites. The researcher will have the opportunity to use machine learning and deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work in a highly collaborative, inclusive and supportive environment including other scientists, physicians, residents, and students. This position is NIH-funded and the researcher will work closely with PI Dr Sophia Wang who will provide committed mentoring and support. The scholar will be able to advance their career as a future independent investigator with opportunities to lead and contribute to a wide variety of projects.
The position will be based in the Stanford Department of Ophthalmology, though trainees from any discipline who meet the required qualifications are encouraged to apply.
Required Qualifications:
- Doctoral degree (PhD) conferred by start date
- Demonstrated experience with analysis of large health databases
- Training and experience in machine learning and deep learning methods
- Excellent English language communication skills, both oral and written
- Ability to work independently and as part of a time
- High motivation/initiative and excellent independent problem-solving skills
Data Science Student Intern
- You will work 1:1 with the PI and with other data scientists and research personnel in the lab on data analysis projects
- Requires excellent Python programming including pandas, sci-kit learn, and either PyTorch or TensorFlow, can use Git. Understands principles of databases.
- Motivated and interested in advancing skills in working with healthcare data, natural language processing, or computer vision
Research Student
- Interested in ophthalmology but perhaps not a strong programmer? Never fear, we may have a position for you too.
- We are always interested in recruiting motivated students with strong writing skills. Help us write our manuscripts!
- There are many ancillary tasks to support building our models including data validation and curation
- Must be reliable and have strong attention to detail
- If interested, shadowing opportunities may also be included in your experience
Visiting Scholar
- Arrangements can be made for international visiting scholars, but since this requires significant lead time, the earlier we start the better
- Those with their own funding will have priority
- Given the complexity of logistical arrangements, longer term visitors are preferred