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Research Informatics Analyst Jobs in Georgia (NOW HIRING)

Senior Data Engineer

Gordon, GA · On-site

$99K - $135K/yr

... Data Analytics, Informatics, Statistics experience Minimum Qualifications • Excellent written & oral communication, research, and analytic skills • Expert ability to manage personnel ...

Senior Data Analyst

Peachtree Corners, GA · On-site +1

$129K - $161K/yr

Support product discovery activities through data analysis and customer research. Analytics Design ... Bachelor's degree in Statistics, Data Science, Analytics, Economics, Healthcare Informatics ...

Senior Data Analyst

Peachtree Corners, GA · On-site +1

$129K - $161K/yr

Support product discovery activities through data analysis and customer research. Analytics Design ... Bachelor's degree in Statistics, Data Science, Analytics, Economics, Healthcare Informatics ...

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

Analysis experience; OR BA or BS in Data Science, Data Analytics, Informatics, Statistics, or ... Expert capabilities to research, create, develop, and deliver professional briefings, multimedia ...

Data Engineer

Augusta, GA · On-site

$107K - $129K/yr

Analysis experience; OR BA or BS in Data Science, Data Analytics, Informatics, Statistics, or ... Expert capabilities to research, create, develop, and deliver professional briefings, multimedia ...

Senior Data Engineer

Augusta, GA · On-site

$98K - $133K/yr

... years of Data Analytics, Informatics, Statistics experience * Excellent written & oral communication, research, and analytic skills * Expert ability to manage personnel, requirements, and ...

Showing results 41-60

Research Informatics Analyst information

What is a research informatics analyst?

A Research Informatics Analyst is a professional who supports research teams by managing, analyzing, and interpreting complex data sets, often in scientific, clinical, or academic environments. They develop and maintain databases, create data visualizations, and ensure data quality and integrity. Their work enables researchers to make data-driven decisions and helps optimize research workflows. Research Informatics Analysts often collaborate with scientists, IT staff, and other analysts to solve data-related challenges and support ongoing research projects.

How does a research informatics analyst typically collaborate with researchers and IT teams on data-driven projects?

Research Informatics Analysts play a crucial liaison role between scientific researchers and IT professionals. They work closely with researchers to understand project requirements, ensuring that data management solutions align with scientific goals. At the same time, they coordinate with IT teams to implement and maintain databases, software, and analytical tools. This collaborative environment requires strong communication skills and adaptability, as analysts often translate technical needs across disciplines and troubleshoot data-related challenges together.

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

To thrive as a Research Informatics Analyst, you need strong data analysis skills, a background in life sciences or informatics, and a relevant degree such as in bioinformatics, computer science, or a related field. Familiarity with databases, scripting languages (like Python or R), and electronic data capture systems is typically required, and certifications in data management or clinical informatics are advantageous. Excellent problem-solving, attention to detail, and effective communication skills are essential to translate complex data into actionable research insights. These competencies ensure accurate data management, facilitate effective collaboration with research teams, and support the integrity and impact of scientific studies.

What cities in Georgia are hiring for Research Informatics Analyst jobs?

Cities in Georgia with the most Research Informatics Analyst job openings:

Infographic showing various Research Informatics Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

Fort Eisenhower, GA • On-site

Altamira Technologies Corp.
Software Development • 201 - 500 employees

$96K - $131K/yr

Full-time

Re-posted 26 days ago


Job description

Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies.
We focus on recruiting talented, self-motivated employees who strive to get things done.

An Altamira Data Engineer is an integral member of an analytic and engineering team. The data scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets. We are highly interested in individuals who can craft narratives around their analytics, producing highly visual representations of both the output and the innerworkings of analytic methods. The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual will also have a firm grasp of the environments in which the analytics must be deployed, whether stand-alone, within a broader software architecture, in the cloud, etc. While a heavy programming background is not required, sufficient technical knowledge to implement the analytics is highly desired.
Minimum Education / Experience
MA or MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years CURRENT
Intelligence Analysis experience; OR
BA or BS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 years CURRENT
Intelligence Analysis experience; OR HS diploma/GED AND Specialized Training with at least 15 years of Intelligence Analysis experience to include
10 years of CURRENT GEOINT Analysis experience AND 5 years of Data Analytics, Informatics, Statistics
experience
Minimum Qualifications
Excellent written & oral communication, research, and analytic skills
Expert ability to manage personnel, requirements, and coordination of projects
Expert capabilities to research, create, develop, and deliver professional briefings, multimedia presentations, and written reports
Experience utilizing programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across industry- leading GPU architectures to answer analytic questions
Experience with assessments, enterprise data integration, governance, and metrics, including the application of metadata management techniques and ability to interrogate databases efficiently using SQL
Experience with tradecraft and publication; ability to coordinate and support cross- community meetings and working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions
Desired Experience
Knowledge of Army structure and defense level intelligence operations: intelligence collection, fusion, analysis, production, and dissemination for intelligence databases and products
Knowledge and experience with intelligence operations and in assisting with drafting expert assessments across operations priorities on behalf of the stakeholder
Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification (GPC-F, GPC _IA-II, GPC_GA-II, GPC_IS-II, etc.)
Knowledge and understanding of the National System for GEOINT (NSG) and Intelligence Community; knowledge of private sector data science/analytics, machine learning, and data visualization communities
Employment Type: Full Time