Project Manager - Hybrid

UCSD Layoff from Career Appointment : Apply by 6/11/2026 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Reassignment Applicants : Eligible Reassignment clients should contact their Disability Counselor for assistance.

This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote.

DESCRIPTION

Under the direction of the Principal Investigator(s), the incumbent will perform complex professional statistical work and provide specialized data management and programming support to project teams; consult and conduct analyses requiring advanced statistical and programming knowledge; conduct research, adaptation and application of existing and novel statistical methods; and perform other related duties as required.

The Incumbent will typically spend a majority of time implementing and/or adapting mathematical statistical models for analyses of technical data from longitudinal epidemiological studies, computerizing study questionnaires and forms using Questionnaire Development System (QDS) and Microsoft ACCESS, designing and maintaining databases for various projects, writing SAS code to generate tables and graphical displays for reports, conducting data monitoring and collaborating with members of the field team to identify and troubleshoot data related issues, extracting and preparing data sets and related documentation for sharing with other users and stakeholders, including large national repositories, and prioritizing and monitoring project timelines and tasks related to statistical analyses and programming to ensure timely delivery of output.

The Incumbent will also perform statistical consultation and data analysis requiring advanced and current knowledge of statistical theory and the ability to research and adapt new methodology to address research problems using epidemiological data. Examples of such activity include development of statistical models to assess relationships between variables (e.g., association, causation, mediation, moderation) using statistical methods such as generalized linear mixed models (GLMM), generalized estimating equations (GEE), Cox regression, segmented regression, factor analysis, principal components analysis, latent class analyses, and structural equation modeling with appropriate attention to specification of usage of statistical methods and tests of assumptions, numerical accuracy and correct interpretation of results.

Other duties include assisting the principal investigators in planning research designs on complicated problems or large-scale bi-national studies which may result in grants; determine from discussions and related written material the purposes and objectives of various studies, the scope and methods of approach to problems, and the restrictions inherent in experiments; discuss with investigators possible statistical analyses of their research data; devise statistical analyses plans, conduct power calculations and related graphical displays and write sections related to statistical analyses and power calculations.

Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and/or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.

MINIMUM QUALIFICATIONS

• Seven (7) years of related experience, education/training, OR a Bachelor's degree in related area plus three (3) years of related experience/training.

• Thorough knowledge of research function. Extensive statistical experience with multivariable modeling, longitudinal data, correlated data, nonparametric analyses, hierarchical modeling, incidence calculations, mediation and moderation analyses and experience with large (thousands of subjects and variables) population-based surveys. Experience with checking assumptions required for various statistical procedures as well as familiarity with methods related to missing data and other potential sources of bias.

• Thorough skills associated with statistical analysis and systems programming. Experience with statistical programming for database management and data analysis. Advanced knowledge of SAS, including SAS macros, and knowledge of how to write SAS code to generate tables and graphs that meet standards for presentation and publication; familiarity with SPSS, R and/or Stata. Proven ability to manipulate raw data and apply statistical practices.

• Thorough skills in analysis and consultation. Demonstrated ability to comprehend and express the theoretical concepts of a project proposal and recommend plans for research design, implementation and data analysis.

• Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skill to communicate methods and results verbally and in writing to provide information to scientific investigators from which researchers can draw conclusions. Experience preparing methods and results sections for publication.

• Skills in project management.

• Research skills at a level to evaluate alternate solutions and develop recommendations.

• Knowledge of Microsoft Office applications such as ACCESS and EXCEL, as well as specialized software for power analyses such as PASS, nQuery Advisor and SAS power and sample size procedures.

• Experience with devising statistical analyses plans and conducting power and sample size analyses; writing the corresponding narrative and generating related graphical displays.

• Experience creating, managing and working with large-scale longitudinal databases.

• Ability to prioritize workload and multitask. Ability to work in busy team-oriented environment. Ability to meet deadlines.

• Strong interpersonal and organizational skills. Ability to communicate with investigators, students, and project team members. Ability to communicate effectively in both verbal and written form.

• Strong analytic, inductive and deductive reasoning skills.

• Experience in data management and analysis with advanced knowledge of statistical methodology and SAS programming as well as experience programming forms using ACCESS and programming long and complex surveys using software such as QDS, Qualtrics or Redcap; and experience devising statistical analysis plans, randomization schedules, and conducting power analysis using software such as Pass, nQuery Advisor and SAS Power.

PREFERRED QUALIFICATIONS

• Thirteen (13) years of related experience, or Masters in related area with at least seven (7) years of relevant experience or an equivalent combination of education and experience in Statistics/Biostatistics preferred.

• Familiarity with department specific programming.

SPECIAL CONDITIONS

• Employment is subject to a criminal background check.

Pay Transparency Act

Annual Full Pay Range: $88,000 - $161,600 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $42.15 - $77.39

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).