Biostatistician III, Biostatistical Services — Washington Remote
Support CHOC pediatric healthcare research through study design, data management, and advanced statistical analysis. This remote, full-time role is based in Washington.
Aprašymas
- Advise investigator-led research projects on study design and data analysis methods.
- Develop research methods and sampling plans.
- Calculate effect sizes and statistical power.
- Choose and apply statistical methods across clinical research, epidemiology and public health, health services, and health outcomes research.
- Oversee concurrent projects, including large and complex initiatives.
- Prepare applied research proposals and protocols.
- Write abstracts and manuscripts, and prepare presentations.
- Work with users, investigators, and research team members across all levels.
- Collect, extract, format, merge, and field-code data; manage missing data.
- Perform advanced quantitative analyses using LOGIT, Survival, GLS, propensity scoring, Bayesian analysis, and NLIN.
- Use software for statistical analysis, database management, and survey administration.
Reikalavimai
- At least five years of experience designing research methods and sampling plans, estimating effect sizes and statistical power, and applying statistical methods in clinical research, epidemiology or public health, health services, or health outcomes research.
- At least five years of experience managing concurrent projects, including large, complex initiatives.
- At least five years of experience writing applied research proposals, protocols, abstracts, manuscripts, and presentations.
- At least five years of professional experience, with demonstrated success collaborating effectively in teams with diverse investigators.
- A master's degree in biostatistics or a related field, such as an MS, MA, or MPH; relevant education and experience may be combined as a substitute.
- Programming proficiency in SPSS, Stata, R, SAS, or a related language.
- Ability to collaborate with users and investigators, work independently, make decisions, respond to emergencies, and manage multiple tasks and projects.
- Ability to explain technical concepts clearly in writing and speech.
- Proven data management expertise, including data collection, extraction, formatting, merging, field coding, and missing-data handling.
- Proven expertise in advanced quantitative methods, including LOGIT, Survival, GLS, propensity scoring, Bayesian analysis, and NLIN.
- Experience with data analysis, database management, and survey administration software, including SAS, Stata, R, SPSS, and REDCap.
- Subject matter expertise in public health, social services, or a related field.
- Ability to build and maintain effective working relationships with research team members at all levels.
- Excellent written and spoken English communication skills.
- Preferred qualifications include children's hospital experience; experience with health information systems, health quality databases, or epidemiology; familiarity with text, audio, image, and genomic data processing; a DPH or PhD; machine learning coursework; and PHIS competency or certification in another administrative or claims database.
Privalumai
- Compensation and benefits, along with career development programs.
- Support and accommodations during the Talent Acquisition process.
