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Description
The NIH-funded PROMISE project is seeking a full-time PhD-level statistician for a newly funded project dedicated to (1) identifying geospatial and temporal patterns of hospital encounters for overdoses and other drug-related harms during pregnancy and the post-partum period, and inequities in these patterns; and (2) identifying structural determinants of these patterns and inequities in these patterns. PROMISE is led by Drs. Michael Kramer and Hannah Cooper. A Community Advisory Board of people with lived experience, and partnerships with participating state health departments, will help guide the project and support high-impact dissemination.
KEY RESPONSIBILITIES:
- Develops and analyzes a variety of research data using statistical methods.
- Assists researchers in developing appropriate study protocols and computer analyses.
- Manages computer systems, writes programs, and trains others in the use of systems.
- Keeps abreast of the latest statistical modeling and computing tools.
- Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules.
- Prepares statistical method sections for inclusion in study protocols.
- Reviews the design and content of database designs and data edit checks.
- Develops and validates SAS programs to support statistical analyses.
- Provides interpretations of statistical results, and prepares the relevant statistical sections for study reports.
- Creates and maintains biostatistical documentation, including descriptions of methods, SAS programs and results.
- Prepares electronic files using appropriate formats for submission to regulatory agencies.
- Participates in the development of standardization procedures for statistical functions.
- Reviews and audits statistical analysis plans, SAS programs, and statistical reports including tables, listings, and figures.
- Provides guidance to more junior biostatisticians.
- Evaluates and proposes new statistical methods for data analysis.
- Assigns and monitors activities of other project personnel.
- Assist in setting priorities of work to be done.
- Provides support and serves as a resource to biostatisticians, programmers, and data analysts.
- Participates in training of less senior biostatisticians and other team members.
- Provides input into the evaluation of their team members.
- Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals prior to submission.
- Writes statistical methods section of manuscripts for publication.
- Writes and/or revises quantitative, epidemiologic, and medical sections of manuscripts.
- Helps estimate budgets for biostatistical support for larger, more involved clinical studies (NIH program project grants, multicenter clinical trials etc).
- Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately.
- Performs related responsibilities as assigned.
ADDITIONAL JOB DETAILS:
This full-time position will have the following responsibilities:
- Supervise an MPH-level analyst, as they identify and secure databases to measures features of the risk environment, and develop relevant measures.
- Supervise an MPH-level analyst as they identify and secure state hospital discharge databases, needed to create measures of drug-related harms during pregnancy and the postpartum period. Create related standard operating procedures for data processing.
- Harmonize discharge databases across participating states and develop a codebook/crosswalk of original and harmonized variables.
- Develop the patient-centered longitudinal hospital discharge cohort databases for each state, including creating extensive metadata documentation for them, and conducting rigorous quality checks and analyses of variable distributions.
- Conduct Bayesian analyses of the distributions of drug-related harms during pregnancy and the postpartum period, and of the distributions of implementation activities for laws governing drug use in pregnancy.
- Conduct Bayesian and difference-in-differences regression analyses of relationships between features of the risk environment (including measures of the enforcement of laws governing drug use in pregnancy) and drug-related harms among pregnant and postpartum people, overall and by race/ethnicity, insurance status, and rurality/urbanicity.
- Implement best practices for regression analyses - identify appropriate outcome distributions and model links, identify and resolve multicollinearity, apply bootstrapping and matching/weighting techniques as needed.
- Ability to research modelling techniques as needed under the guidance of project MPIs.
- Contribute to manuscripts – draft methods and results, create tables and visual displays, review manuscript discussions to ensure alignment with presented data and results. Respond to journal requests for model revisions.
- This position will report to the project Principal Investigators, Drs. Michael Kramer and Hannah Cooper.
- Opportunities abound for ongoing professional development, including leading papers and conference presentations as a first author and co-author, and participating in journal clubs and work in progress seminars organized by the CORAL center.
MINIMUM QUALIFICATIONS:
- A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience.
- Proficiency in modern high level statistical languages such as S-PLUS or SAS and in database management.
PREFERRED QUALIFICATIONS:
- PhD in biostatistics or an equivalent degree
- Strong data management in SAS and analysis skills in SAS, R, or STATA
- Fluency in Bayesian and geospatial methods and in DID
- Interest in reproductive justice and/or harm reduction
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.
Emory Supports a Diverse and Inclusive Culture
Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.
Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.
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