Affiliated Office Address Baltimore, MD, United States Requisition
ID 122454
Date Created September 09, 2026 Job Family Data Management Job Subfamily Data Management Job Function Research Exempt Status Exempt Shift Type Full Time Schedule Monday to
Friday:
9:00am
MD:
School of Public Health Work Modality Remote:
Not on-site or < 10% of hours worked on-site We are seeking a Sr. Biostatistician who will be responsible for data management and analysis of multicenter clinical trials. The Sr. Biostatistician will supervise research data analysts and work with principal investigators to analyze and manage data from studies. The Syphilis and HIV Integrated Epidemiologic and Economic Local-level Dynamics (SHIELD) project is a suite of compartmental transmission models covering 40 U.S. cities with the highest rates of syphilis and HIV diagnoses. SHIELD encompasses syphilis transmission dynamics and natural history, HIV co-infection, STI care engagement, and key demographic stratifications. Modeling assumptions are grounded in epidemiological and clinical literature, and model parameters are calibrated against available surveillance data, including national STI case report data and behavioral surveillance. The model is designed to evaluate the epidemiological impact and cost-effectiveness of scaling up existing and emerging syphilis interventions, including expanded testing, partner services, treatment acceleration, and doxycycline post-exposure prophylaxis (doxy-PEP). SHIELD is closely linked to the Johns Hopkins Epidemiologic and Economic Model (JHEEM), a rigorous, statistically grounded simulation platform that projects the impact of HIV-related interventions at the city and state level across the United States. JHEEM addresses high-level public health questions
- such as how much increasing HIV testing and treatment uptake would reduce incidence over a decade
- using large-scale Bayesian model fitting and simulation.
Both models are coded in R and executed on high-performance cloud computing infrastructure. JHEEM projections are publicly accessible at https://jhu-comp-epi.vercel.app. The successful candidate will be embedded within the SHIELD team and will have the opportunity to collaborate closely with the broader JHEEM research group. Depending on project priorities and the candidate's expertise, there is flexibility to contribute across both modeling platforms—spanning areas such as HIV intervention modeling, syphilis-HIV co-infection dynamics, cost-effectiveness analysis, and the development of decision-support tools for public health practitioners. We are seeking a motivated, intellectually curious individual who is eager to apply biostatistical methods, epidemiological expertise and computational skills to help end the HIV and syphilis epidemics. Specific Duties & Responsibilities Work with a multidisciplinary group on clinical trials and other longitudinal studies. Collaborate with investigators on research projects with primary responsibility for analysis and presentation of project data. Provide integration and analysis of biodata from multiple sources. Provide expertise in statistical design, data management, and data analysis. Contribute to the development and application of statistical methods to advance scientific goals of various projects. Serve as lead Biostatistician with investigators to develop objectives, design sampling, randomization, and statistical analysis plans to achieve study objectives. Design and perform appropriate methodologic procedures for statistical analysis, overall descriptive statistics, exploratory data analyses, including graphs, schematic summaries, and necessary transformations and confirmatory data analyses, including statistical tests and/or modeling. Design, implement, and manage computerized systems for analysis of complex research projects to prepare scientific presentations related to study results. Perform sample size and power calculations, generate randomization schema, and prepare statistical sections for research protocols and manuscripts. Participate in regularly scheduled meetings with investigators and team that require statistical input. Design tables and statistical procedures for specific research studies. Write statistical design, methods, and analysis for manuscripts and research proposals. Analyze data and prepare tables for interim and final reports. Develop and apply new statistical methodologies. Ensure data integrity and compliance with security policies governed by HIPAA and the Johns Hopkins IRB. Oversight of one or more professional team members and project milestones. Prepare progress reports and present to leadership. Other duties as assigned. In addition to the duties described above: Independently apply and adapt calibrated HIV and syphilis transmission models to address specific epidemiological and public health research questions, including defining model scenarios, assumptions, outcomes, and sensitivity analyses. Translate epidemiological evidence, surveillance data, and scientific questions into model parameters, computational analyses, and interpretable results for use in federally funded research and public health applications. Provide scientific and technical leadership to programmers and quantitative staff implementing complex simulation models, including defining model specifications, reviewing code and outputs, troubleshooting analyses, and ensuring reproducibility and scientific validity. Lead the integration of Bayesian statistical methods, model calibration, uncertainty analysis, and validation into epidemiological modeling studies. Contribute substantively to high-priority HIV and infectious disease modeling projects through independent analysis, interpretation of results, scientific manuscripts, grant applications, and technical reports, including co-authoring scientific manuscripts, conference abstracts, technical reports, and other scholarly products, contributing substantive analysis, interpretation, and methodological content. Conduct systematic reviews of epidemiological and clinical literature relevant to HIV and syphilis transmission, natural history, and intervention effectiveness and extract, critically appraise, and synthesize parameter values (e.g., transmission probabilities, treatment efficacy, and care cascade estimates) from peer-reviewed literature and surveillance and programmatic data sources, including the CDC, local health departments, and national databases (e.g., NHBS, NNDSS). Minimum Qualifications Master's Degree in Biostatistics, Epidemiology, or related quantitative field. Three years of related experience. Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Proficiency in R and other programming languages. Proficiency in Bayesian inference methods. Technical Skills & Expected Level of Proficiency Analytic Methodological Development
- Intermediate Clinical Trial Design & Data Management
- Intermediate Data Integration
- Intermediate Interpersonal Skills General
- Intermediate Project Management
- Intermediate Regulatory Compliance
- Intermediate Scientific Communication
- Intermediate Statistical Methods
- Intermediate Statistical Programming
- Intermediate The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title:
Sr.
Biostatistician Role/Level/Range:
ACRP/04/ME
Starting Salary Range:
$66,210
- $116,130 Annually (Commensurate w/exp.
) Employee group:
Full Time Schedule:
Monday to
Friday:
9:00am
FLSA Status:
Exempt Location:
Remote Department name: Epidemiology Personnel area: School of Public Health Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/. Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines:
JHU Equivalency Formula:
30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law https:
//www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf Accommodation Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/. Vaccine Requirements Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.