Research Fellow - Pulmonary Biostatistics
Research Fellow-Pulmonary Biostatistics
PURPOSE OF POSITION: To learn to conduct independent research and support the independent research of others in a Medical Center dedicated to the care of infants, children, and adolescents.
The division of Biostatistics and Epidemiology has a Pulmonary Biostatistics Core lead by Dr. Hossain that involves biostatistics faculty and staff to provide support on all aspects of statistical needs from sample size calculation to proposing innovative methods for analyzing complex datasets. The Division of Pulmonary Medicine has a strong pediatric research infrastructure focusing on sleep-disordered breathing, narcolepsy, clinical research in asthma, basic and translational research in cystic fibrosis, as well as lung remodeling and fibrosis, outcomes research and imaging research. The research fellow will work on projects related to the research interests of Division of Pulmonary Medicine under the supervision of Dr. Hossain.
MAJOR DUTIES AND RESPONSIBILITIES:
Perform analysis and experiments: Design, execute, and record analysis and experiments; apply standard scientific protocols to research, and improve current methods and evaluate innovative techniques. Develop and implement human subject research protocols, vertebrate animal research protocols and design experimental procedures and documentation in accordance with the relevant laws and regulations. Prepare, clean and analyze data. Maintain optimal protocol and accuracy by conducting regular quality and reproducibility checks.
Communicate results/findings: Draft, write, and edit scientific reports, papers, journal articles, and abstracts. Present information on research and department work to others at department meetings, journal clubs, and seminars. Present results and discuss relevant insights with Faculty and provide useful recommendations and analysis.
Innovate and advance departmental capabilities: Independently reproduce, evaluate, research, and improve techniques currently used. Adapt new methods to existing procedures and modify current analysis/experiments through scientific knowledge and intuition. Maintain accurate and detailed records of all analysis and experiments. Develop, set-up, and verify new procedures in the department. Standardize and establish new published procedures; evaluate innovative techniques. Develop new protocols; design formats. Maintain an integral role in the department's meetings, presentations, and publications. Troubleshoot and correct erroneous results or problems with department software/equipment. Maintain and repair software/equipment; monitor proper use by personnel.
Financial/Budgeting: Assist in preparing grant applications. Assist in preparing, writing, and maintaining fiscal budget. Monitor expenditures and prepare capital expenditure requests. Prepare, approve, and initiate check requests; track funding, maintain accurate balance, and resolve any discrepancies.
Staff Leadership: May provide day-to-day functional leadership for a team or directly manage a minimal number of support staff. Establishes team goals. Gives input into, and performs employee performance reviews. Oversees and guides work assignments. Serves as the functional expert and provides guidance to the team.
Education and Training: May serve as course master and develop new courses at the undergraduate and graduate level, including appropriate plans for evaluating student performance; may deliver lectures as a guest lecturer in courses organized by other faculty. Assist in the training of new employees. Serve as a resource and/or mentor to coworkers. Assist in the development and presentation of department training. Identify training needs and provide necessary coaching.
•Ph.D. in related discipline, MD, or equivalent degree.
•PhD in Computer Science, Physics, Biomedical Informatics, Bioinformatics, Epidemiology, Biostatistics or other similar quantitative disciplines
The ideal candidate will hold a PhD in statistics/biostatistics and be highly motivated in pursuing methodologic work, with strong computational skills. Experience in mixed models, functional data analysis, Bayesian hierarchical modeling, spatially correlated data, and/or imaging data analysis preferred.
Job Number: 89284