Matthew K. Nock, the Director of the Nock Lab in the Department of Psychology at Harvard University is seeking to hire a Machine Learning Engineer (MLE) / Data Scientist (DS) with expertise in machine learning (ML) and the management and analysis of data. The MLE/DS will work on studies aimed at advancing the understanding, prediction, and treatment of suicidal thoughts and behaviors. The data to be managed and analyzed are from smartphone-based surveys, passive smartphone/wearable monitors, and social media platforms. The MLE will clean, transform, and merge data and will run advanced data analyses.
The MLE will work with a dynamic, multi-site team on projects aimed at improving identification of, and intervention on, mental health problems (e.g., suicide) using rich data sources. The successful applicant will have strong programming skills, sufficient knowledge, and technical expertise in ML to execute tasks independently, advanced data management and analysis skills, and interest in application of ML to the healthcare sector. In addition to designing and developing ML models, the MLE will:
- Work with the research team to design, develop, and implement ML models.
- Create and assist in development of infrastructure for cleaning, processing, analyzing, and visualization of various data types (e.g., GPS data scraped from smartphones, accelerometer data from wearable devices, digital phenotyping data, etc.).
- Run experiments to evaluate model performance, perform error analysis, and suggest and implement improvements.
- Conduct higher-level analysis of data and supervise analyses performed by other members of the lab.
- Integrate data across workflows (e.g., digital phenotyping, behavioral, and clinical data).
- Program behavioral tasks and archive studies.
- Assist with preparation of grant applications, presentations, and publications.