Senior Neuroscience Research Scientist
Nicklaus Children's Health System
Job Description
Job Summary
\nResponsible for health outcomes research design, data collection and analysis including use of clinical data, questionnaires, and individual/group interviews. Works closely with the research and clinical teams in the planning and conducting of original research, supporting a variety of other research projects and hospital initiatives, preparing reports and scientific publications, and presenting at local and national meetings.
\nJob Specific Duties
\n- \n
- Conducts studies with clinicians, caregivers, and children at multiple medical centers. Collaborates with study teams and conducts multi-site research. \n
- Assists study team in developing outcomes measures (e.g., item writing, cognitive interviewing, statistical analysis) . \n
- Prepares presentations and writes scientific publications. \n
- Creates and maintains data collection forms in RedCap as needed. \n
- Assists with coding of qualitative data and data entry of questionnaires. \n
- Manages, cleans, organizes, and conducts analysis of large datasets using a variety of methods. \n
- Prepares and designs reports, tables, charts, and graphs with written summaries, conclusions, and recommendations. \n
- Interfaces with internal and external study teams to support best practices in data collection, management, and security. \n
- Strengthens collaborations with internal and external researchers, with the goal of publishing original articles for the organization. \n
- Assists with preparing research protocols, consent forms, and other study documents . \n
- Contributes to identifying potential new funding sources, grant writing, and grant reporting. \n
Qualifications
\nMinimum Job Requirements
\n- \n
- Ph.D in Neuroscience \n
- 4-7 years of work experience in health outcomes or social science measure development and mixed methods research (qualitative and quantitative); (OR) post-doctoral experience. \n
Knowledge, Skills, and Abilities
\n- \n
- Knowledge of measurement principles, including familiarity with psychometric concepts such as measurement error, validity, reliability, and item response theory \n
- Experience selecting appropriate methods and conducting statistical analyses with healthcare or social science data sets \n
- Knowledge of quantitative and qualitative research design, including mixed methods design in the social sciences \n
- Experience creating or refining survey instruments and other measurement tools \n
- Demonstrated record of publication (as both first author and collaborator) in peer-reviewed scientific journals and presentations in academic or medical conferences \n
- Experience with statistical software (SPSS, SAS, or R) \n
- Experience with, or ability to learn, qualitative analysis software (NVivo or similar) \n
- Experience creating and managing questionnaires, data collecion forms and databases (REDCap or similar) \n
- Ability to learn new programs and processes easily in a fast-paced environment \n
- Ability to enter, code, and clean data \n
- Ability to survey public databases for research purposes \n
- Experience conducting scientific literature reviews \n
- Ability to identify and solve a range of problems within area of expertise \n
- Familiarity with IRB regulatory requirements and processes \n
- Excellent oral/written communication and interpersonal skills \n
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