Biostatistician Intern (near Durham, NC, Bethesda, MD, or Atlanta, GA) (Job 876)

About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, simulation, and more. With over 3,200 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

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.

Qualifications

• Must be actively enrolled in an accredited undergraduate or graduate program. Applicants must be pursuing degrees such as Engineering, Computer Science, Business Administration, Data Analytics, Human Resources, Public Health, or other related fields. Students do not have to currently be taking credits however they must be enrolled.
• Applicants must maintain a cumulative GPA of 2.50 or higher. Unofficial transcripts will be required during the application process to verify academic performance.
• Bachelors degree in statistics, biostatistics, data analytics, public health, or a related field from an accredited college/university.
• 2+ years of experience with SAS programming.
• Strong programming skills in R or Python, or strong JMP experience, will be considered for candidates without SAS experience.
• Excellent written and verbal communication skills, with the ability to convey complex statistical concepts clearly.
• Proficiency in Microsoft Office products, including Word, Excel, and PowerPoint.
• Experience collaborating with stakeholders, researchers, or clients is a plus.
• Ability to work remotely while updating the team and producing project deliverables in a timely manner.
• Part-time, negotiable hours, potential to transition to full-time position.
• Must reside within a 30-mile radius of the nearest DLH office (Durham, NC, Atlanta, GA, or Bethesda, MD)

Basic Compensation: $20.00 - $25.00 per hour

The salary offered within this range will be based on the selected candidates’ skills, experience, education, market data, and internal parity. DLH may offer other rewards that may include performance incentives and program-specific awards. An applicant’s salary history will not be used to determine compensation.