Sr. Biostatistician

The Department of Health Policy and Management (HPM) in the Bloomberg School of Public Health is seeking a Sr. Biostatistician to support health policy research on the Johns Hopkins Drug Supply Chain Data Dashboard.

Johns Hopkins Drug Supply Chain Data Dashboard is a university-wide platform that will support data-driven health care services research across JHU. The goal of the platform is to advance data-driven solutions that address national health system challenges across markets, organizations, populations, and technologies. The platform will provide timely insights to tackle drug shortages and supply chain disruptions, to improve data transparency and increase resiliency in the U.S. pharmaceutical supply chain.

The position will sit in the Department of Health Policy and Management (HPM) in the Bloomberg School of Public Health which boasts a diverse, interdisciplinary group of scholars"from social scientists and health economists to legal scholars, policy analysts, management scientists and ethicists. Many holds joint appointments in the schools of Medicine, Nursing, Arts and Sciences, and Engineering, and the Department benefits from well-established collaborations with the faculty, students and patients of Johns Hopkins Medicine. HBHI, organizationally housed within HPM, is supported by the Carey Business School, the Bloomberg School of Public Health, School of Nursing, and School of Medicine to integrate research, practice, and policy across Johns Hopkins University to improve the productivity of the nation's health system.

The successful candidate will serve as a co-investigator on health policy projects led by Dr. Mariana Socal. Primary research areas include import and export of drugs and Active Pharmaceutical Ingredients (APIs) supply, the impact of drug inspections, warning letters, citations on supply, and viable and sustainable options for preventing and coping with drug shortages.

This is an inter-disciplinary project and the candidate will support and collaborate with a team of 6 different faculty members from Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Carey Business School, and Johns Hopkins School of Medicine/Institute of History of Medicine. The candidate will be responsible for combining large datasets from multiple sources and different formats, including country-level data, subnational data, FDA regulatory records, drug specifications, and import/export records from the US Census, and developing new data frames that will provide the foundation for the Dashboard. The candidate will lead the data management and analysis of this project, which will include supporting and supervising the work of junior research assistants. Because the ultimate goal of this project is to help inform and advance policy-making to strengthen the resiliency of the US pharmaceutical supply chain, the successful candidate will also support investigators and staff members from outside of Johns Hopkins - this includes for example staff members within the Federal Administration and Federal Agencies (FDA and others) who may be interested in using the Dashboard data to perform specific queries to inform their policy decisions.

Specific Duties & Responsibilities

Research Responsibilities

• Design tables and statistical procedures for specific research studies.
• Write statistical computer programs and reviews output for consistency and quality.
• Analyze data and prepare tables for interim and final reports.
• Collaborate with investigators to develop objectives, designing sampling, randomization, and data collection procedures to achieve study objectives.
• Develop and apply new statistical methodologies to research projects.
• Prepare analyses with general direction from investigators (Performed regularly and continuously as a primary duty of the position).
• Make significant contribution of conclusive thought to publications.
• Write statistical design, methods, and analysis for research proposals.
• Assume significant role on research project team, e.g. serves on committees, supervises project personnel, coordinate q/c efforts.
• Help develop and manage a central data center for the JHU Pharmaceutical Supply Chain Dashboard project.
• Independent, substantive contact with other internal and external investigators or study staff.
• Lead data management tasks including cleaning, variable creation, merging datasets and compiling data from various sources. As well as collaborate with other data analytics and programming students and staff on the team.
• Perform other research activities as required.

Special Knowledge, Skills, & Abilities

• Experience with STATA, or R programming supporting health services or related research.
• Experience of managing complex (e.g. National) databases with large samples.
• Excellent interpersonal skills consulting with researchers and understanding their issues.
• Excellent writing and verbal skills in the preparation and presentation of reports and publications.
• Excellent organizational skills and attention to detail.
• Experience contributing to peer reviewed scientific publications.

• Master's Degree in Biostatistics, Epidemiology, or related quantitative field, with PhD preferred.
• Three years related experience.
• Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.

• Training or experience in International Public Health.
• Experience working with national survey and census data.
• Strong statistical programming skills.
• Prior work experience in academic or research health care settings.
• Strong communication skills and experience working with diverse research teams.
• STATA and R experience.
• Contributing to peer reviewed scientific publications as a first author experience.

Classified Title: Sr. Biostatistician
Job Posting Title (Working Title):Sr. Biostatistician
Role/Level/Range: ACRP/04/ME
Starting Salary Range: $64,600 - $113,300 Annually (Commensurate with experience)
Employee group: Full Time
Schedule: Monday to Friday: 8:30 am - 5 pm
Exempt Status:Exempt
Location:Remote
Department name: 60004111-Health Policy & Management -Lipitz
Personnel area: School of Public Health