Data Analyst

Genevausa; United States; On-site; USD 55,000 - 75,000; Full time

Job summary

Genevausa seeks a Data Analyst to support clinical data management across multi-site studies. You will extract, clean, and analyze data using Python, MATLAB, R, and SQL, and help ensure data quality and SOP documentation. Collaboration with investigators and cross-functional teams is essential to advance research aims.

Ideal candidates have a strong background in data analysis, programming, and clear communication to prepare reports and contribute to manuscripts.

Qualifications

• Bachelor’s degree required; Master’s preferred.
• Experience with clinical data management and data quality control.
• Experience with Python and/or MATLAB for data analysis.
• Strong written and oral communication skills.
• Ability to organize, detail-oriented, professional demeanor.

Responsibilities

• Write scripts and perform matrix analysis using R, SQL, and/or Python.
• Prepare analysis plans and write detailed specifications for analysis files, consistency checks, tables and figures in conjunction with the on-site supervisor.
• Complete statistical analysis of independent data groups using appropriate scientific methods.
• Provide input on analysis plans and design for the analyses of multiple complex data sets from diverse scientific areas.
• Collaborate and assist the Principal Investigator, Co-Investigators and research team in the performance the research study.
• Contribute to the drafting and submitting of abstracts, manuscripts and reports for dissemination.
• Interpret analyses and write statistical sections of study reports and for scientific manuscripts.
• Prepare progress reports on research as required.
• Analyze and write-up data.
• Present complex information effectively to a range of audiences.
• Provide data management assistance.
• Provide project close-out support.
• Maintain and update files of all applicable regulatory documentation for IACUC or IRB (including protocols, approvals, amendments, modifications, etc.) as well as any communications with the sponsor or any other Federal or regulatory office (including prior approvals, change in scope, etc.)

Skills

Oral and written communication

Attention to detail

Education

Bachelor’s degree

Master’s degree preferred

Tools

Python

MATLAB

R

SQL

Job description

About the Position

The Data Analyst is responsible for assisting with clinical data management. This position will support the coordination of multi-site study protocols through data extraction and statistical analysis, data cleaning and quality control, data transfers and merging of files, data queries, ad-hoc reports, and agreement execution. This position works cross-organizationally to ensure data quality, report real-time data for investigators and staff, and document standard operating procedures.

About the Project

The Data Analyst will support the Walter Reed Army Institute of Research (WRAIR) Medical Readiness Systems Biology Division in a multi-task research program focused on developing objective, integrated tools to assess physiological and psychological readiness in Service Members. The analyst will support data processing, management, quality assurance, and analysis across four research tasks involving biomarker discovery, wearable and handheld biosensors, gamified fatigue assessment, and resilience training evaluation. Working with The Geneva Foundation’s scientific and technical teams, the Data Analyst will help ensure accurate, reliable, and well-organized research data to support study execution, evaluate outcomes, and advance the development of evidence-based tools for assessing military readiness.

Salary Range

$55,000 - $75,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate’s related knowledge, skills, and abilities for the position.

QUALIFICATIONS

• Prepare animal and human use protocols
• Assist in grant proposal submissions
• Bachelor’s degree required; Master’s preferred
• Knowledge of military system, preferred.
• Expertise in writing and executing code in Python and/or MATLAB required
• Demonstrate competence in oral and written communication
• Must be organized, attentive to detail, and possess a positive, friendly and professional demeanor

MANAGEMENT RESPONSIBILITIES

• Oversees quality assurance of all study databases, proactively tests data to identify data integrity issues, makes recommendations, and plans solutions based on research goals

RESPONSIBILITIES

• Write scripts and perform matrix analysis using R, SQL, and/or Python
• Prepare analysis plans and write detailed specifications for analysis files, consistency checks, tables and figures in conjunction with the on-site supervisor
• Complete statistical analysis of independent data groups using appropriate scientific methods
• Provide input on analysis plans and design for the analyses of multiple complex data sets from diverse scientific areas
• Collaborate and assist the Principal Investigator, Co-Investigators and research team in the performance the research study
• Contribute to the drafting and submitting of abstracts, manuscripts and reports for dissemination
• Interpret analyses and write statistical sections of study reports and for scientific manuscripts
• Prepare progress reports on research as required
• Analyze and write-up data
• Present complex information effectively to a range of audiences
• Provide data management assistance
• Provide project close-out support
• Maintain and update files of all applicable regulatory documentation for IACUC or IRB (including protocols, approvals, amendments, modifications, etc.) as well as any communications with the sponsor or any other Federal or regulatory office (including prior approvals, change in scope, etc.)