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Department Description The Health Equity Research Lab (HERLab) is a health services research center bringing together an interdisciplinary team of researchers and clinicians committed to advancing physical and mental health in diverse communities. The HERLab develops and evaluates high-impact interventions, uncovers pathways of resilience in the face of social and economic adversity, fosters collaboration among researchers, clinicians, and community members, and trains the next generation of investigators to produce research that drives action.
Description: The Data Analyst plays a key role in driving innovative research on health services disparities, working alongside the Director and Principal Investigators on cutting-edge NIH-funded studies. In addition to providing expertise in research methodology and statistical analyses, this position offers the opportunity to contribute to high-impact research that shapes policy and improves care for diverse communities.
Responsibilities include: Performing data analyses, data cleaning and data management, including development and maintenance of a large electronic health record-based data warehouse; Implementing and learning new statistical methods and cloud-based data management techniques as necessary for the successful completion of research projects; Analyzing psychometric properties of scales; Providing input on experimental designs for clinical and service interventions; Working with large psychiatric epidemiology and service utilization data sets; Participating in the interpretation and writing of analyses for papers and progress reports; Advising in the development of new proposals; Supervising and overseeing statistical and econometric analyses; mentoring trainees in statistical methods and research design; and
Bachelor’s degree in Economics, Statistics, Biostatistics, Quantitative Psychology, or related fields At least one year of experience supporting academic research Familiarity with SAS and SQL necessary Interest in health services research Excellent communication and teamworking skills
Master’s degree in Economics, Statistics, Biostatistics, Quantitative Psychology, or related field Familiarity with R, Python, and Stata Familiarity with data management in Google Cloud Platform Familiarity with NLP and machine learning-based predictive analytics Experience supporting the publication of peer-reviewed journal articles Experience with clinical datasets (e.g., electronic health records, Medicaid/Medicare claims) Interest in equity/disparities research Preference for candidates based in Massachusetts Please note that the final offer may vary within the listed
, based on a candidate's experience, skills, qualifications, and internal equity considerations. In keeping with federal, state and local laws, Cambridge Health Alliance (CHA) policy forbids employees and associates to discriminate against anyone based on race, religion, color, gender, age, marital status, national origin, sexual orientation, gender identity, veteran status, disability or any other characteristic protected by law.
We are committed to establishing and maintaining a workplace free of discrimination. We are fully committed to equal employment opportunity. We will not tolerate unlawful discrimination in the recruitment, hiring, termination, promotion, salary treatment or any other condition of employment or career development.
Furthermore, we will not tolerate the use of discriminatory slurs, or other remarks, jokes or conduct, that in the judgment of CHA, encourage or permit an offensive or hostile work environment.
About the role
Performing data analyses, data cleaning and data management, including development and maintenance of a large electronic health record-based data warehouse;