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Associate Research Manager Jobs in Connecticut (NOW HIRING)

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Associate Research Manager information

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

To thrive as an Associate Research Manager, you need strong analytical abilities, research methodology expertise, and a relevant degree such as in marketing, business, or social sciences. Familiarity with data analysis tools like SPSS, Excel, and survey platforms, as well as experience with project management systems, is typically required. Excellent communication, organization, and leadership skills help in managing research teams and collaborating with clients. These skills ensure research projects are executed effectively, insights are accurately delivered, and stakeholders' expectations are met.

How much do research managers make in the US?

Research managers in the US typically earn a median annual salary of around $80,000 to $120,000, depending on experience, industry, and location. Senior roles or those with specialized skills may earn higher salaries, often exceeding $150,000. Compensation can also include bonuses and benefits related to project management and data analysis tools.

How does an Associate Research Manager typically collaborate with cross-functional teams during a research project?

As an Associate Research Manager, collaboration with cross-functional teams—such as marketing, product development, and data analytics—is a core part of the role. You will often coordinate meetings to align research objectives, share findings, and integrate insights into broader business strategies. Effective communication and project management skills are essential, as you'll need to ensure that research timelines and deliverables meet the needs of various stakeholders. This collaborative environment provides opportunities to learn from different departments and expand your professional network within the organization.

Do I need a PhD to be a research associate?

A research associate position typically does not require a PhD; most roles require a bachelor's or master's degree in a relevant field. However, some research roles or specialized projects may prefer or require a PhD or additional research experience. Skills in data analysis, research methods, and familiarity with tools like SPSS or R can also be important.

What is the highest paying job in research?

In research, senior roles such as Principal Investigator, Research Director, or Chief Scientist tend to be the highest paying, especially in industries like pharmaceuticals, technology, and finance. These positions often require advanced degrees, extensive experience, and leadership skills, and they may involve managing large teams or projects with significant budgets.

What does a research manager do?

A research manager oversees the planning, execution, and analysis of research projects within an organization. They coordinate teams, develop methodologies, ensure data quality, and interpret findings to support decision-making, often using tools like statistical software and project management platforms.

What does an Associate Research Manager do?

An Associate Research Manager is responsible for supporting and overseeing research projects within an organization. They help design research methodologies, coordinate data collection, analyze results, and prepare reports or presentations. Additionally, they may manage junior research staff, ensure projects stay on schedule and budget, and communicate findings to stakeholders. Their role bridges hands-on research activities and higher-level project management, making them essential to the success of research initiatives.

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

AspectAssociate Research ManagerResearch Analyst
Required CredentialsBachelor's degree, often a master's; experience in research managementBachelor's degree in relevant field; entry-level to mid-level experience
Work EnvironmentCollaborative, project management, overseeing research teamsData collection, analysis, reporting, often individual or small team work
Employer & Industry UsageMarket research firms, corporate R&D, consultingMarket research, policy analysis, academic research

The Associate Research Manager typically has more experience and handles project oversight, team coordination, and strategic planning. Research Analysts focus on data collection and analysis, often supporting larger projects. Both roles are essential in research environments but differ in responsibilities and seniority.

What cities in Connecticut are hiring for Associate Research Manager jobs? Cities in Connecticut with the most Associate Research Manager job openings:
Infographic showing various Associate Research Manager job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Associate Research Scientist in Biostatistics, Data Science Data Equity

Yale University

New Haven, CT • On-site

$59K - $59K/yr

Full-time

Re-posted 3 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 613 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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