Scientist Intern

Who We Are

For more than 25 years, Aptima's mission has been to improve and optimize performance in mission-critical, technology-intensive environments. We apply deep expertise in how humans think, learn, and perform to today's challenges. Whether for fighter pilots functioning in the cockpit, medical staff in the ICU, or teams collaborating across distributed networks, we are working to ensure synergy, enhance productivity, and accelerate learning, training, and readiness.

Our culture is rooted in our core values, which have evolved over time and our employees have embraced - Integrity, Ingenuity, Excellence, Respect, Inclusion, Teamwork. At our core, Aptima researches, develops, and innovates within an area that engineering firms largely ignore, the human component. To impact the world in meaningful ways, you must bring those innovations to light, and that is precisely what we do.

How You'll Make an Impact

Aptima is excited to bring on a part time intern for summer 2025 to assist on high priority projects and work within our Training, learning, and Readiness Division. You will have the opportunity to work with a highly interdisciplinary team on a variety of tasking, including the following:

• Assist in search for and review peer-reviewed scientific literature.
• Assist senior researchers to perform data analysis and reporting using standard commercial tools such as Python, R, SPSS, or SAS.
• Develop draft content for technical analyses, written reports, presentations, and papers related to applicable areas of science and technology.
• Apply written and verbal communication skills to effectively communicate with team members using email, phone, and virtual meeting technology.
• Participate in a timely, productive, and collegial manner on a multidisciplinary project team.

• Training and/or relevant coursework in research methods and statistics
• Ability to obtain and maintain a US government security clearance
• Completed B.A./B.S. degree in psychology, neuroscience, cognitive science, human factors, data science, or other related fields
• Currently enrolled and completed at least one year of coursework in an accredited graduate program work toward a Master or Doctoral degree