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What is a research center?

A research center is an organization or facility dedicated to conducting scientific, academic, or applied research in specific fields or disciplines. These centers may be affiliated with universities, government agencies, private companies, or operate independently. Research centers bring together experts, resources, and technology to advance knowledge, develop innovative solutions, and support education. Their work often leads to new discoveries, policy recommendations, and technological advancements. Research centers can focus on areas such as medicine, engineering, social sciences, or environmental studies.

What is the typical team structure and collaboration style within a research center?

In a research center, teams are often multidisciplinary, bringing together experts from various fields such as science, engineering, and data analysis. Collaboration is highly encouraged, with regular meetings, joint projects, and knowledge-sharing sessions. Team members typically work closely with both internal colleagues and external partners, such as universities or industry sponsors. This environment fosters innovation and allows for the exchange of diverse perspectives, which is vital for addressing complex research challenges.

What are the key skills and qualifications needed to thrive as a research center manager, and why are they important?

To thrive as a Research Center Manager, you need a strong background in research methodologies, project management, and usually an advanced degree in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and grant application processes is typically required. Strong leadership, organizational, and communication skills help build effective teams and partnerships. These competencies are crucial for ensuring high-quality research outcomes, maintaining compliance, and fostering innovation within the center.

What is the difference between Research Center vs Research Analyst?

AspectResearch CenterResearch Analyst
CredentialsTypically requires advanced degrees (Master's or PhD)Bachelor's or Master's degree in related field
Work EnvironmentInstitutions, universities, dedicated research facilitiesCorporate, government agencies, consulting firms
Industry UsageUsed in academic, scientific, and policy research sectorsCommon in market research, financial analysis, and data-driven roles
Search & Comparison IntentUnderstanding research institutions and their functionsComparing research roles and career paths

Research Centers are organizations or facilities focused on conducting specialized research, often in academic or scientific fields, requiring advanced credentials. Research Analysts typically work within companies or agencies analyzing data to inform decisions, usually with a bachelor's or master's degree. While both roles involve research, Research Centers are institutional and broad in scope, whereas Research Analysts are role-specific within various industries.

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What cities are hiring for Research Center jobs?

Cities with the most Research Center job openings:

What states have the most Research Center jobs?

States with the most job openings for Research Center jobs include:

Research Center jobs near you
Infographic showing various Research Center job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Healthcare and Life Sciences Data Specialist, Applied Research Center

Manhattan, NY • On-site

Cornerstone Research
Business Management Consulting • 501 - 1,000 employees
Learn more about Cornerstone Researchexternal

Full-time

Medical, Life

Re-posted 25 days ago

Job description

Overview
About Cornerstone Research
Cornerstone Research is at the forefront of economic and financial consulting, delivering the rigorous analytical solutions required to navigate complex disputes. The firm draws from an extensive network of prominent academic and industry experts to support each matter effectively. Pairing a deep understanding of economics and finance with a suite of industry-leading artificial intelligence and machine learning tools, Cornerstone provides clients with a sophisticated, tailored approach. A reputation for innovation, precision, and excellence has defined Cornerstone since 1989. That momentum continues with over 1,000 professionals collaborating across nine offices in the US, UK, and EU.
The Applied Research Center is a team of specialists in highly technical areas of economics, finance, behavioral science, and technology. Applied Research Center specialists offer clients cutting-edge analysis and greater efficiency by applying their depth of knowledge precisely where needed on complex cases, complementing the work of case teams. The Applied Research Center helps the firm innovate and drive progress, employing techniques at the forefront of academia and industry to provide the most impactful analysis for the firm and our clients.
Responsibilities
Position Summary
The Applied Research Center is seeking a Healthcare and Life Sciences Data Specialist to lead the data analysis that drives our litigation and regulatory work in these industries. In this role, you will be the person case teams turn to when they need to know which data sources to use, how to build them into something analytically useful, and what the results mean.
You'll work alongside senior consultants and academic or industry experts, bringing hands-on expertise with healthcare and life sciences data to answer the specific empirical questions that arise in high-stake cases. This means going well beyond routine data pulls: you'll be advising on analytic strategy, building and refining analytic pipelines for large and complex datasets, constructing outcome measures that shape the analysis, and running and interpreting econometric models. You will also be heavily involved with designing innovative workflows that incorporate cutting-edge agentic-AI tools into analyses to improve quality, efficiency, and reproducibility.
Essential Job Functions
  • Consulting with case teams to determine the appropriate data sources needed to conduct the desired analyses.
  • Optimizing procedures for processing large, complex datasets into standard analytic builds.
  • Using, developing, and modifying agentic AI agents and skills (e.g., Claude Code, Codex, Gemini 3) for applied data analysis.
  • Identifying opportunities to expand the ARC's catalog of agents and skills and designing improved workflows that incorporate these tools.
  • Using industry-specific knowledge to propose and construct key outcome measures to support the strategic goals of the analysis.
  • Implementing and interpreting the results of the econometric analyses.

Qualifications
Required Qualifications
  • At least 4-5 years of relevant work experience in data analysis, data science, business intelligence, or a related analytical field (relevant education may substitute for experience).
  • Strong technical experience and a deep understanding of the modern data analysis stack (e.g., SQL, Python/R).
  • At least 2-3 years of experience working with one or more of the following types of data:
  • Healthcare claims data (originating from payer or provider).
  • State-level hospital discharge data.
  • Pharmaceutical sales or dispensation data.
  • Pharmaceutical formulary data.
  • Demonstrated strong leadership, analytical, communication, and teamwork skills.
  • Interest in economics, healthcare, and life sciences.

Preferred Qualifications
  • Graduate degree in quantitative fields such as Economics, Statistics, Data Science, or Computer Science, and/or a health-related field such as Health Economics, Health Services Research, Biostatistics, or Health Policy.
  • Ability to apply advanced statistical and econometric methods to address complex research questions.
  • Hands-on experience using agentic AI tools such as Claude Code, Codex, or Gemini 3 in applied analytical work; candidates who have experience developing agents, skills, and other tools are strongly preferred and will be prioritized.
  • Experience in a professional services environment (e.g., economic consulting, management consulting, legal services, finance).
  • Experience working in the healthcare or life sciences industries, or in a related government agency.
  • Knowledge of key healthcare and life sciences concepts, including:
  • The interplay between payers, providers, patients, and various intermediaries in the US healthcare system.
  • Major government programs including Medicare (Parts A, B, D, and Medicare Advantage), Medicaid, and the ACA marketplaces.
  • Characteristics of managed care (e.g. utilization review, prior authorization, network design).
  • The pharmaceutical drug development and commercialization processes.
  • Interactions in the pharmaceutical supply chain between manufacturers, PBMs, wholesalers, pharmacies, insurers, and other end-payers.
  • Foundational and emerging topics in health policy, such as surprise billing legislation, the 340B program, and changes to Medicare Part D from the Inflation Reduction Act.

Cornerstone Research will provide visa support to full-time candidates. If you are applying from within the US, candidates should have at least 12 months remaining of work authorization.
Cornerstone Research offers a market-leading compensation and benefits package. The base salary for the Healthcare and Life Sciences Data Specialist with a relevant education is $250,000. In addition to the base salary, new Healthcare and Life Sciences Data Specialists will be eligible for a signing bonus depending on skills, education, and experience. Healthcare and Life Sciences Data Specialists are also eligible for discretionary bonuses based on case performance, firm contributions, and other factors. Previous relevant work experience will be taken into consideration in determining compensation. Information about our benefits, including health and wellness and family support, can be found on the Careers page of our website.
Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

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