Hiring a Masters or PhD level intern/year round student! (the student can also be finishing their BA/BS now, to start their MS or PhD in the fall). More information found here.
DLH is seeking a highly motivated Biostatistics Intern to join a dynamic team of Biostatisticians working on the National Institute of Environmental Health Sciences (NIEHS) Statistical Support Contract. As part of a collaborative team, the Intern will assist in executing statistical analyses for a wide range of experimental toxicology studies conducted by the NIEHS Translational Toxicology Division. These studies play a pivotal role in advancing the understanding of chemical exposures and their effects on human health. The Biostatistics Intern will work alongside experienced Biostatisticians and contribute to various research projects in the fields of toxicology, public health, environmental science, and epidemiology. This position requires the ability to work both independently and collaboratively to deliver high-quality work. A successful candidate will be experienced in statistical programming software, possess problem-solving skills, and be highly detail-oriented. The role offers hands-on experience in applying statistical methods to large and complex datasets, preparing reports and presentations, and assisting in identifying appropriate statistical models to ensure the integrity and reliability of results. Interns will develop skills in statistical analysis software, including SAS and R, and be exposed to cutting-edge research methodologies.
Responsibilities
- Provide statistical support for data analyses, including generating basic summary statistics (mean, standard error of mean, standard deviation), outlier tests, and executing statistical models such as t-tests and ANOVA on toxicological data.
- Assist in the preparation and quality control (QC) of tables, figures, and reports for accuracy and completeness.
- Develop, document, and validate statistical code in SAS to ensure the accuracy and efficiency of statistical analysis.
- Analyze datasets and prepare statistical tables for inclusion in reports or manuscripts.
- Learn and apply advanced statistical techniques (e.g., Jonckheere test, mixed models, Survival Analysis, power analyses via simulation) to enhance analysis capabilities.
- Assist with or lead independent research projects, particularly in the field of toxicology.
- Communicate and present statistical findings to internal teams and external scientific clients, both verbally and in writing.
They are looking for a student who is self-motivated and a strong communicator/collaborator above all else! This position very well may be client facing and, while we won’t throw them in the deep end at the start (Alyson probably remembers me as someone who wasn’t ready for client interface 8 years ago ), we need someone with potential to do that type of work. We also mostly code in SAS, although strong R/Python/etc coders willing to learn are considered.