Research Assistant 1, WS, Part time

Our research team develop clinical artificial intelligence applications to facilitate clinical decision making process. We collaborate with clinicians and build machine learning prediction models using large-scale patient-level dataset. We also combine patient genetic data with clinical information to investigate disease mechanisms. One of clinical conditions we are currently focusing on is opioid drug prescriptions and opioid use disorder.

We are looking for a part time (10 hours/week) Research Assistant (RA) to help us with this work. The RA would work primarily with Dr. Wenyu Song and would be encouraged to multiple projects. The RA will participate in research and publications as a co-author, present research, and be closely mentored by Dr. Wenyu Song.

In affiliation with the Division of General Internal Medicine and Primary Care (DGIM), the RA will have numerous voluntary opportunities for training and career development. DGIM holds a monthly medical seminar for RAs with review of clinical case studies and special topics, a research skills and data management training series, and DGIM Research Day, an annual forum for RAs to showcase their contributions via oral and poster presentations and promote professional development through a career panel discussion.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

-Conduct data analysis using R and Python, including data collection, cleaning, feature selection, model development and optimization

-Conduct literature review and develop research summary

- Help with the preparation of talks and presentation materials including PowerPoint slides, tables and graphs.

- Assist with grant progress reports and IRB submissions as needed.

-Format research manuscripts for publication

Qualifications:

-Bachelor's Degree, with background of biomedical informatics, computer science, statistics or bioinformatics.

- Interest in the field of biomedical informatics, computational linguistics, big data science, or computer science is preferred.

Skills Required:

-Coding experience in python and/or R

-Some previous experience or knowledge of health data science.

-Experience of machine learning model will be a plus.

-Competency in database software (SQL) preferred.

-Good oral and written communication skills.

-Ability to demonstrate professionalism and respect.

-Regard for patient privacy essential.

-Organizational skills and ability to prioritize tasks.

-Strong work ethic, industrious.