Director, Psychometrician, DH R&D
New York, NY, USA
Job Description
- Serves as a subject matter authority in applying psychometrics/clinimetrics to generate evidence of patients’ experience with treatment throughout the oncology drug development lifecycle. (e.g. psychometric performance of the instrument, sensitivity/specificity of signal detection, construction of novel endpoints according to the estimand framework to characterize disease progression, or tolerability).
- Designs, conducts and interpret and/or supervises functional service provider(s) for psychometrics/clinimetrics or statistical analyses for the validation of clinical outcomes assessments (COA) (traditional survey-like instruments or novel sensors/wearables) and their implementation in clinical trials including: define data collection, develop analyses strategy, manipulates and validates data files, scoring, test selection, and analyses.
- Develops, inspects, and/or mines and transforms models for COA data interpretation
- Establish fit-for-purpose visualization of COA data
- Analyze both structured and unstructured/qualitative data, develop plan for primary, exploratory and/or investigation analyses to advise concept evolution overtime, predictive forecasting or classification, etc.
- Prepare, review, and publish scientific reports, internal/ conference presentations, publications, regulatory dossiers reflecting ongoing or completed work
- Plan and conduct meetings with content specialists (internal, health authorities) for endpoint performance
Desired Skills & Experience
- Combination of academic training and practical experience in measurement research. This may consist of:
- Doctoral degree in a relevant field such as, but not limited to industrial-organizational (I/O) Psychology, Testing and Measurement, Psychometrics, Statistics, Data Science, or related field plus three years practical experience
- Master’s degree in a related subject area (as noted above), plus five years practical experience
- Significant experience using Classical Test Theory and Rasch analyses for performance assessment.
- Conceptual, analytical and critical thinking
- Creative, innovative, solution-focused
- Curious, accepts new ways of problem solving, new ideas, new ways of working
- Strong communication skills and ability to establish relationships
- Ability to serve as “translator” between scientific problems to data science solutions
- Ability to apply expertise to sophisticated problems, problem solving and with a quality focus
Employer
Gaithersburg, Maryland, USA