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Research Data Manager Jobs (NOW HIRING)

Lumos Pharma

Data Manager

The Data Manager will be responsible for providing support across all stages of clinical research from startup to closeout, as well as for process improvement activities. This role will work with ...

Alphatec Spine

Research Data Engineer

Carlsbad, CA

$118K - $142K/yr

Ingest, process, and manage clinical and research datasets from internal and external sources. * Design data models and datasets optimized for researcher and analyst use. * Maintain datasets used in ...

Insomniac Games

Research Data Analyst

$60 - $75/hr

Research Data Analyst - 6 Month CONTRACT Insomniac Games is looking for a new Research Data Analyst ... Ability to effectively present information to top management and key stakeholders. * Capable of ...

Insomniac Games

OR

Research Data Analyst - 6 Month CONTRACT Insomniac Games is looking for a new Research Data Analyst ... Ability to effectively present information to top management and key stakeholders. * Capable of ...

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Research Data Manager information

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$31K

$97.1K

$172K

How much do research data manager jobs pay per year?

As of Jun 12, 2026, the average yearly pay for research data manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Research Data Managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

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

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What are Research Data Managers?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

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

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

More about Research Data Manager jobs
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What are the most commonly searched types of Research Data jobs? The most popular types of Research Data jobs are:
What states have the most Research Data Manager jobs? States with the most job openings for Research Data Manager jobs include:
What job categories do people searching Research Data Manager jobs look for? The top searched job categories for Research Data Manager jobs are:
Research Data Manager jobs near you
Infographic showing various Research Data Manager job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Research Data Analyst 3

Research Data Analyst 3

University of California San Francisco

San Francisco, CA • On-site

Full-time

Posted 29 days ago

Job description

Job Description
JOB SUMMARY
Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.
The Research Data Analyst (RDA) will serve as the Research Data Manager on the ARIA project and provide the architectural backbone for a large-scale, multi-department clinical neural data initiative.
Primarily, they will transform raw signals from a complex stack of clinical neural collection hardware into highly structured, analysis-ready datasets. Data pipeline software will be built from the ground up, designing robust systems capable of handling high-dimensional time-series data. Our goal is to use optimized storage using formats like TileDB or SQLite and ensure code quality through modern software tooling in languages such as Python or Rust. In building these architectures, the Research Data Analyst must author and implement rigorous clinical data collection protocols, seamlessly integrating hardware outputs with clinical capture systems like REDCap.
Additionally, the Research Data Analyst will act as the main coordinator of data distribution. Mostly, they will be orchestrating the dissemination of data between various parties across departments and institutions. Also, in part, they will be a collaborative partner to multi-disciplinary research teams, actively shaping the statistical and computational design of neural data analyses.
REPORTING RELATIONSHIPS
If applicable, provide the number of employees and the jobs of the staff reporting to this job.
Responsibilities
DUTIES & ESSENTIAL JOB FUNCTIONS
Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
20
YESPlans long-term statistical studies, including the preparation of proposals, design of survey instruments and determining sampling procedures.
5
YESGathers, analyzes, prepares and summarizes the collection of information and data; recommends statistical approaches, trends, sources and uses.
5
YesAnalyzes the interrelationships of data and defines logical aspects of data sets.
20
YesDevelops systems for organizing data to analyze, identify and report trends.
20
YesManages database of research data for projects.
5
YesReviews new software instruments and potential effects on statistical testing. May make programming modifications.
5
YesParticipates in development and implementation of data security policies and procedures. Prepare data for presentation. Identify multivariate strategies.Prepare studies for internal validation.
5
YesKeeps abreast of technical advances in storage, documentation and dissemination of computerized data.
5
YesImplements related business processes.
10
YesMay supervise data entry, database management and research analysis of students, support staff and / or lower level analysts.
100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
LIVING PRIDE STANDARDS
Service Excellence
  • Demonstrates service excellence by following the Everyday PRIDE Guide with the UCSF Medical Center standards and expectations for communication and behavior. These standards and expectations convey specific behavior associated with the Medical Center's values: Professionalism, Respect, Integrity, Diversity and Excellence, and provide guidance on how we communicate with patients, visitors, faculty, staff, and students, virtually everyone, every day and with every encounter. These standards include, but are not limited to: personal appearance, acknowledging and greeting all patients and families, introductions using AIDET, managing up, service recovery, managing delays and expectations, phone standards, electronic communication, team work, cultural sensitivity and competency.
  • Uses effective communication skills with patients and staff; demonstrates proper telephone techniques and etiquette; acts as an escort to any patient or family member needing directions; shows sensitivity to differences of culture; demonstrates a positive and supportive manner in which patients / families/ colleagues perceive interactions as positive and supportive. Exhibits team work skills to positively acknowledge and recognize other colleagues, and uses personal experiences to model and teach Living PRIDE standards.
  • Exhibits tact and professionalism in difficult situations according to PRIDE Values and Practices
  • Demonstrates an understanding of and adheres to privacy, confidentiality, and security policies and procedures related to Protected Health Information (PHI) or other sensitive and personal information.
  • Demonstrates an understanding of and adheres to safety and infection control policies and procedures.
  • Assumes accountability for improving quality metrics associated with department/unit and meeting organizational/departmental targets.

Work Environment
  • Keeps working areas neat, orderly and clutter-free, including the hallways. Adheres to cleaning processes and puts things back where they belong. Removes and reports broken equipment and furniture.
  • Picks up and disposes of any litter found throughout entire facility.
  • Posts flyers and posters in designated areas only; does not post on walls, doors or windows.
  • Knows where the Environment of Care Manual is kept in department; corrects or reports unsafe conditions to the appropriate departments.
  • Protects the physical environment and equipment from damage and theft.

OTHER FUNCTIONS AND RESPONSIBILITIES
Duties listed in this section are not essential or intrinsic to the job but are performed at times.
Included in this section should be a general statement such as. "Perform other duties as assigned."
This phrase allows the supervisor to assign sporadic or one-time tasks as needed.
Required Qualifications
  • Bachelor's degree in related area and / or equivalent experience / training
  • Minimum of 3 years of related experience
  • Thorough knowledge of research function
  • Thorough skills associated with statistical analysis and systems programming
  • Thorough skills in analysis and consultation
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing
  • Skills in project management.
  • Research skills at a level to evaluate alternate solutions and develop recommendations

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