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Psychology Data Analyst Jobs in Silver Spring, MD

... psychology, engineering, science, or related technical/analytical field and 10+ years of experience; or Master's degree with 12+ years, or Bachelor's degree with 17+ years of experience. Preferred ...

Responsibilities We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I-V) to support data science, aviation, engineering, psychological, analytical, and technical ...

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Psychology Data Analyst information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

How much do psychology data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for psychology data analyst in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

What does a psychology data analyst do?

As a data analyst in psychology, also known as a research analyst or data scientist, your duties focus on assisting with psychology research tasks, reporting, and analyzing data sets. Your responsibilities are to study the data of a psychology experiment, perform a variety of analysis techniques to understand the data and develop statistics based on the data, and create reports of the research results. You work closely with researchers to understand the hypotheses, methodology, and results of each experiment. The data you work with can aid research in medical or behavioral studies.

What are the key skills and qualifications needed to thrive as a psychology data analyst?

A Psychology Data Analyst should possess strong statistical analysis skills, a background in psychology or behavioral science, and typically a degree in psychology, statistics, or a related field. Familiarity with statistical software such as SPSS, R, or Python, as well as data visualization tools, is commonly required. Critical thinking, attention to detail, and effective communication help analysts interpret data accurately and present findings to diverse audiences. These skills ensure reliable analysis, meaningful insights, and the ability to inform evidence-based decisions in psychological research or practice.

How does a psychology data analyst typically collaborate with researchers and clinicians in a multidisciplinary team?

As a Psychology Data Analyst, you will regularly work alongside researchers, clinicians, and sometimes IT professionals to design studies, clean and analyze psychological data, and interpret findings. Collaboration often involves translating complex statistical results into actionable insights that non-analysts can understand, as well as advising on study design to ensure robust data collection. Clear communication and teamwork are essential, as you may participate in regular meetings to align on project goals, discuss preliminary findings, and support publication or presentation efforts.

How much does a psychology data analyst make?

The average salary for a psychology data analyst in Virginia ranges from $55,000 to $75,000 annually, depending on experience, education, and specific employer. Professionals with strong statistical skills and proficiency in data analysis tools like SPSS or R tend to earn higher salaries. Entry-level positions may start lower, while experienced analysts or those with specialized certifications can earn more.

What are popular job titles related to Psychology Data Analyst jobs in Silver Spring, MD?

For Psychology Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Psychology Data Analyst jobs in Silver Spring, MD look for?

The top searched job categories for Psychology Data Analyst jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Psychology Data Analyst jobs?

Cities near Silver Spring, MD with the most Psychology Data Analyst job openings:

Infographic showing various Psychology Data Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $85,595 per year, or $41.2 per hour.

Scientific Data Analyst (Surveillance)

Goldbelt, Inc.

Silver Spring, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices.ย 

Summary:

Goldbelt Apex is seeking an experienced Scientific Data Analyst (Surveillance) to support the Defense Health Agency's Psychological Health Center of Excellence (PHCoE). This position provides analytical expertise supporting behavioral health surveillance, data management, statistical reporting, and decision support activities that inform psychological health programs across the Military Health System.

The successful candidate will analyze complex healthcare and behavioral health datasets, identify trends affecting Service Member health and readiness, develop data visualizations and reports, and support evidence-informed decision-making through advanced analytical techniques. This role works closely with Government stakeholders, researchers, epidemiologists, statisticians, and behavioral health professionals to transform data into actionable intelligence.


Responsibilities

Essential Job Functions:

  • Analyze large behavioral health, healthcare, and surveillance datasets to identify trends, patterns, and emerging issues affecting military populations.
  • Support psychological health surveillance initiatives through data collection, validation, analysis, and interpretation.
  • Develop dashboards, data visualizations, executive reports, and briefing materials that communicate analytical findings to Government leadership.
  • Perform data quality assessments and ensure the integrity, accuracy, and completeness of analytical products.
  • Support development and maintenance of surveillance metrics, performance indicators, and reporting methodologies.
  • Collaborate with researchers, statisticians, epidemiologists, clinicians, and Government stakeholders to support ongoing behavioral health research and surveillance initiatives.
  • Analyze healthcare utilization, behavioral health outcomes, and population health data to support strategic planning and policy development.
  • Develop reproducible analytical workflows using appropriate statistical and data management software.
  • Prepare technical documentation, analytical reports, presentations, and data summaries supporting contract deliverables.
  • Assist in integrating data from multiple healthcare and research sources to support comprehensive surveillance efforts.
  • Identify opportunities to improve data collection, reporting processes, and analytical methodologies.
  • Ensure analytical products comply with scientific standards, privacy requirements, and Government data management policies.
  • Support special studies, rapid response analyses, and emerging behavioral health initiatives as requested.

Qualifications

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME