Neuroscience Program Analyst III - Research & Analysis

Axle Energy; Rockville (MD); On-site; USD 90,000 - 95,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Paid time off

401K match (up to 5%)

Educational benefits

Employee referral bonus

FSA: Healthcare

FSA: Parking

FSA: DCAP

FSA: Transportation

Job summary

Axle Energy seeks a Scientific Program Analyst III to support the NIH/NINDS CSC Cluster in Rockville, MD. The role focuses on portfolio analysis, scientific coding, reporting, and funding-related activities, with emphasis on neural circuits and translational neuroscience.

A Master’s degree is required; candidates should have a background in Biomedical Engineering, Neuroscience, or related fields, and be proficient with PowerPoint, Excel, and Word, plus strong data collection and analysis skills.

Qualifications

• Master's degree required in a relevant field.
• Background in Biomedical Engineering, Neuroscience, or Cognitive Science and Biopsychology.
• Proficiency with PowerPoint, Excel, and Word.
• Strong data collection and data analysis skills.

Responsibilities

• Provide scientific and programmatic support to the NINDS CSC Cluster.
• Analyze portfolios and prepare reports for program staff.
• Coordinate with staff and stakeholders on projects and activities.
• Plan scientific meetings and conferences; assist with logistics.
• Maintain project documentation and track progress with PM tools.
• Prepare presentations and background materials for meetings.

Skills

Data collection

Data analysis

PowerPoint

Excel

Word

Education

Master's degree

Biomedical Engineering

Neuroscience

Cognitive Science

Biopsychology

Tools

PowerPoint

Excel

Word

Job description

Axle Energy seeks a Scientific Program Analyst III to support the NIH/NINDS CSC Cluster in Rockville, MD. The role focuses on portfolio analysis, scientific coding, reporting, and funding-related activities, with emphasis on neural circuits and translational neuroscience.

A Master’s degree is required; candidates should have a background in Biomedical Engineering, Neuroscience, or related fields, and be proficient with PowerPoint, Excel, and Word, plus strong data collection and analysis skills.