Transfr is on a mission to help create pathways to career success. Our immersive career exploration and training simulations empower learners and job seekers of all ages find the right job for them and build the skills they need to enter (or reenter) the workforce or change careers — helping them improve their quality of life.
Immersive VR experiences from Transfr have been shown in studies to deliver better learning gains than video tutorials, slide presentations, and other training methods. Learners also find Transfr experiences highly engaging and enjoyable. At Transfr, we believe the future starts with innovative workplace training and skills development. We’re building bridges between schools, workplaces, and governments to help improve training and job placement pipelines and create a better tomorrow, today.
Summary: The Research Scientist role is responsible for conducting and managing research projects to evaluate the learning content and learning design of our simulations and services. The learning validation and evaluation can include both pre-release and post-release of our products. And it will be a rapid process utilizing existing education theories, learning science theories, user testing, and existing client data. This role will be responsible for defining and measuring trainee engagement and motivation outcomes in the learning context, connecting these to learning outcomes and the job readiness of the trainees.
Key Responsibilities:
- Conduct and manage rigorous research to support learning efficacy and product improvement
- Conduct qualitative and quantitative data analysis using multiple data sources (product platform data, surveys, interviews, assessment data, etc.) to inform and advance product development and improvement
- Capture progress and trends, and make appropriate recommendations and conclusions to improve Transfr products
- Contribute to the discovery and development of learning and analytical models and methods that will be used in the Learning Intelligence team
- Use statistical/computer programming skills and programs such as R, Python, SPSS, and SAS:
- to process and link data collected from multiple sources
- to apply statistical models and analyze data to demonstrate relationships between learner characteristics/segments, their navigation through our simulations, and learning outcomes
- Adhere to data privacy and security guidelines and regulations
- Demonstrate research and data expertise and provide necessary research guidelines
- Identify, establish, and manage collaborations/partnerships with research universities to strengthen our research community and alignment with academic research standards
- Visualize data analysis results for presentations and reports
Qualifications:
- Ph.D. in education psychology, cognitive science, learning analytics, or a related field
- 5+ years of industry experience; experience in education companies is a plus.
- Deep understanding of observational, correlational, quasi-experimental, and experimental designs
- Demonstrated ability to analyze data using generalized linear models; multivariate analysis techniques; structural equation models; item response models
- Proficiency in data processing, data mining, and data visualization
- Fluency in using scientific computing tools like R, Python, SPSS, and SAS
- Hands-on experience with SQL and relational databases
- Experience with educational data mining and A/B testing
- Knowledge of cognitive psychology and educational psychology
- Interest in, and willingness to apply, agile techniques for undertaking research
- Problem solving skills, willingness to learn new concepts and methodologies as needed, quickly, and apply them to new problem solving scenarios
- Excellent collaboration and communication skills
- Ability to work remotely with a high degree of autonomy while also contributing to working in a dispersed but collaborative team on high impact problems
In Closing:
If you're looking to make a big difference in the lives of others, we invite you to join us on our mission to make learning more intuitive and help individuals develop the skills they need for career success.
Be a part of creating pathways to prosperity by helping to develop training simulations to teach skills that lead to well-paying jobs, for all.
At Transfr, we embrace diversity because it breeds innovation. Transfr is an equal opportunity employer that participates in E-Verify committed to providing equal employment opportunities to all applicants, consultants, and employees, and prohibits discrimination and harassment of any type without regard to race, color, religion, age, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
**Must be authorized to work in the United States without restriction**
