Clinical Research Assistant 1, LW, Hybrid

GENERAL SUMMARY/ OVERVIEW STATEMENT:

Our research team focuses on leveraging electronic health records and artificial intelligence (AI) to enhance early detection and understanding of Alzheimer's disease and related dementias. Specifically, we aim to identify and analyze subjective cognitive decline using advanced informatics and AI-driven methodologies. Our work integrates machine learning, natural language processing, and predictive modeling to develop case-finding methods and investigate risk factors and outcomes associated with cognitive decline.

We are seeking a full-time Research Assistant (RA) to support this work. The RA will work closely with the Principal Investigator and contribute to multiple aspects of the research, including data processing, model development, literature review, and manuscript preparation. The RA will have opportunities to participate in research publications, present findings at conferences, and receive mentorship for career development in biomedical informatics and clinical research.

In affiliation with the Division of General Internal Medicine and Primary Care, the RA will also have access to professional development opportunities, including research seminars, training sessions, and collaborative discussions with clinicians and informatics experts.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Assist in developing and maintaining research databases using electronic health records.
• Conduct data extraction, cleaning, and processing using programming tools such as Python, R, and SQL.
• Perform statistical analyses and support the development of machine learning models for research studies.
• Conduct literature searches and summarize findings relevant to the study of cognitive health and artificial intelligence applications in healthcare.
• Maintain and organize research references using bibliographic software.
• Assist in the preparation of research progress reports, manuscripts, and presentations.
• Format research manuscripts for journal submission and contribute to scientific writing.
• Assist with Institutional Review Board (IRB) submissions and compliance documentation.
• Document research activities and ensure adherence to data privacy and security guidelines.
• Organize research meetings, prepare materials, and take meeting notes as needed.

Qualifications:

• Bachelor's degree in computer science, statistics, data science, biomedical informatics, or a related field is required.
• Experience with data management, statistical analysis, or machine learning in healthcare research is preferred.
• Knowledge of electronic health records or clinical data analysis is a plus.
• Previous experience in academic research or familiarity with IRB procedures is desirable.

SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:

• Proficiency in Python and/or R for data analysis and machine learning.
• Experience with SQL for database management is preferred.
• Familiarity with natural language processing and large language models is a plus.
• Competency in Microsoft Office applications, including Word, PowerPoint, and Excel.
• Strong understanding of statistical modeling and machine learning techniques.
• Ability to conduct literature reviews and summarize findings effectively.
• Excellent oral and written communication skills.
• Strong organizational skills with the ability to prioritize tasks and meet deadlines.
• Ability to work both independently and collaboratively in a research team.
• High regard for patient privacy and confidentiality.
• Demonstrated professionalism, reliability, and a strong work ethic.

WORKING CONDITIONS:

Office setting with a cubicle workspace.