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Associate Research Consultant Jobs (NOW HIRING)

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Associate Research Consultant information

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$21.5K

$80.8K

$162K

How much do associate research consultant jobs pay per year?

As of Jul 6, 2026, the average yearly pay for associate research consultant in the United States is $80,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $105,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Research Consultant vs Research Analyst?

AspectAssociate Research ConsultantResearch Analyst
Required CredentialsBachelor's degree, some roles prefer related certificationsBachelor's degree, often with certifications in data analysis or research methods
Work EnvironmentConsulting firms, client-facing projects, collaborative teamsCorporate, market research firms, data-driven environments
Employer & Industry UsageManagement consulting, research agencies, market researchFinancial services, marketing, research firms

Both roles involve research and data analysis, but Associate Research Consultants typically work in consulting settings with client interaction, while Research Analysts often focus on data collection and analysis within organizations or research firms. The roles overlap in skills and industry usage, but differ in scope and work environment.

What are the key skills and qualifications needed to thrive as an Associate Research Consultant, and why are they important?

To thrive as an Associate Research Consultant, you need strong analytical skills, a background in research methods or statistics, and at least a bachelor’s degree in a relevant field such as business, social sciences, or marketing. Familiarity with data analysis software (e.g., SPSS, Excel, or R), survey platforms, and report-writing tools is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting results and presenting findings to clients. These competencies are essential for delivering accurate, actionable insights that support client decision-making and project success.

What is an Associate Research Consultant?

An Associate Research Consultant is an entry-to-mid-level professional who supports research projects within consulting firms or organizations. They assist in gathering, analyzing, and interpreting data to help clients make informed business decisions. Their responsibilities often include conducting literature reviews, preparing reports, and presenting findings to senior consultants or clients. This role is ideal for individuals with strong analytical skills and an interest in problem-solving across various industries.

What are some common challenges faced by Associate Research Consultants when managing multiple client projects simultaneously?

Associate Research Consultants often juggle several client projects at once, requiring strong organizational and time management skills. Balancing competing deadlines and ensuring high-quality deliverables can be challenging, especially when client priorities shift or new requests arise unexpectedly. Clear communication with both internal teams and clients is essential for managing expectations and workflow. Utilizing project management tools and regularly updating stakeholders can help mitigate these challenges and ensure projects stay on track.
More about Associate Research Consultant jobs
What cities are hiring for Associate Research Consultant jobs? Cities with the most Associate Research Consultant job openings:
What are the most commonly searched types of Research Consultant jobs? The most popular types of Research Consultant jobs are:
What states have the most Associate Research Consultant jobs? States with the most job openings for Associate Research Consultant jobs include:
Infographic showing various Associate Research Consultant job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 88% Full Time, 4% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,827 per year, or $38.9 per hour.
Associate Research Scientist in Biostatistics, Data Science Data Equity

Associate Research Scientist in Biostatistics, Data Science Data Equity

Yale University

New Haven, CT • On-site

$59K - $59K/yr

Full-time

Posted 9 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

44th of 544 rated colleges and universities


Job description

Description
We are actively recruiting an Associate Research Scientist as part of the new schoolwide Public Health Data Science and Data Equity Initiative, with a primary appointment in the Department of Biostatistics.
The Associate Research Scientist will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics and Professor of Chronic Disease Epidemiology. The research involved will focus on analysis of electronic health records linked to biobanks, real-world healthcare data. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. Involvement in training and mentoring and helping to organize an undergraduate summer program in biostatistics and data science will be an integral part of the position. The position is for a one-year term that is renewable based on availability of resources, satisfactory performance and progress.
Responsibilities include:
• Providing expert biostatistical/computational consultation and collaboration on study design, implementation, analysis and the preparation of protocols, grants, and manuscripts for projects related to real world healthcare data as part of the Public Health Data Science and Data Equity Initiative
• Coding and visualization in R/Python
• Planning, conducting and overseeing comprehensive statistical analysis of biobank data
• Creating digital ecosystems that enables external linkage and harmonization across global biobanks
• Publishing and presenting research results in peer-reviewed professional journals and at scientific conferences.
• Developing tools and processes that enable seamless integration and analysis of multiple biobanks by community researchers
• Helping with programs and educational initiatives related to public health data science
• Engage in novel biostatistical research related to electronic health records, selection bias, missing data, causal inference and machine learning
Additional information on the Yale School of Public Health, the Department of Biostatistics, and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Expected Start Date: As early as May 1, 2025
Qualifications
Qualifications:
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science or a related field.
• Demonstrated track record of research and publication.
• Excellent oral and written communication skills and the ability to work effectively with a wide range of constituencies in a diverse interdisciplinary team.
• Proficiency with statistical computing (e.g., R, Python or C/C++).
• Interest and expertise in large-scale data management, linkage and data integration.
• Demonstrated capacity to work both collaboratively and independently.
• Ability to handle complex topics and explain them well to practitioners and non-quantitative audience.
• Strong strategic, analytical, and problem-solving skills.
• Strong interpersonal, project leadership, and management skills to facilitate timely and professional deliverables.
• Previous mentoring and teaching experiences are desirable but not required.
• A minimum of 2-5 years of experience in a research statistician, collaborative quantitative data scientist role is preferred.
Application Instructions
To apply:
Applicants are asked to submit a (1) CV, (2) cover letter that addresses their specific interest in this position, (3) statement of research/professional accomplishments/interests and (4) the names and contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Questions regarding this position should be directed to: matthew.schlager@yale.edu

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