Research Assistant IV Non-Lab

Harvard University • Boston, MA

1d • Hybrid

About The Position

The Department of Epidemiology, at the Harvard T.H. Chan School of Public Health, studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world. The CAUSALab is a Center in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. The Center uses data to investigate what works in medicine, public health, and policy. By combining sound methodology with high-quality data, the CAUSALab produces actionable causal inference with real-world impact. The Center also offers training on a methodological framework for causal inference research based on observational health databases (e.g., administrative claims, electronic health records, biobanks) and pragmatic randomized trials. The areas of work include infectious diseases, cardiovascular diseases, cancer, mental health, and pregnancy.

Requirements

• 4+ years of relevant experience is required; a combination of education and experience may be considered.
• Experience with STATA, SPSS, R or relevant statistical programming software required.
• Two years of research experience working with healthcare data.
• Excellent interpersonal and communication skills required.
• Ideal candidate must be well organized with keen attention to detail, have prioritization skills, use discretion with sensitive or confidential information, and manage multiple assignments simultaneously.
• Strong written communication skills.
• Work collaboratively with individuals from diverse backgrounds.

Nice To Haves

• Master of Public Health (or similar) degree preferred.

Responsibilities

• Performs and coordinates a wide range of research procedures and conducts a variety of complex support tasks and projects related to CKM-CAUSAL.
• Works as part of a team working with Professors Miguel Hernan and Sonia Hernandez-Dias in compiling and analyzing results.
• Coordinates and carries out designated research tasks and projects, making use of selected methodology and materials, statistical analysis, or other investigative techniques.
• May communicate or collaborate with affiliated research personnel within CAUSALab or other institutions.
• Processes, organizes, summarizes and analyzes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms.
• Submits periodic reports of projects status to supervisor, regularly suggesting and/or implementing additional tests or modifications in current procedures.
• Collates, organizes, drafts and/or edits material for the preparation of research papers, manuscripts, progress reports, articles or other documents for publication and/or presentation.

Benefits

• Generous paid time off including parental leave
• Medical, dental, and vision health insurance coverage starting on day one
• Retirement plans with university contributions
• Wellbeing and mental health resources
• Support for families and caregivers
• Professional development opportunities including tuition assistance and reimbursement
• Commuter benefits, discounts and campus perks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level