Research Internship: High-Throughput Toxicology & Data

Oak Ridge Institute for Science and Education; North Carolina; Vor Ort; USD 49.000 - 60.000; Vollzeit

Zusammenfassung

The U.S. Environmental Protection Agency (EPA) offers a research opportunity in Raleigh-Durham, North Carolina, under ORISE, to work on high-throughput chemical screening with NAMs, including imaging and transcriptomics assays. The role emphasizes hands-on lab work, data analysis, and collaboration with multidisciplinary teams.

Applicants should have a relevant bachelor's or master’s degree and strong computational skills. The appointment is full-time with a multi-year potential, and U.S.

Qualifikationen

• Bachelor’s or Master’s degree in biology, toxicology, biochemistry, molecular biology, genetics, bioinformatics, computational biology, computational chemistry, or a related field.
• Degree must have been awarded within the last five years.
• Experience with cell culture, microscopy, and high-content imaging is preferred.
• Proficiency in data analysis and programming (R) and biostatistics coursework.

Aufgaben

• Participate in experimental research in a toxicology laboratory setting.
• Build experience in computational toxicology by leading data analysis efforts.
• Participate in project team, branch and division meetings; prepare internal reports and data summaries.
• Present findings at scientific conferences and contribute to manuscripts.

Kenntnisse

Cell culture experience

Microscopy

High-content imaging

Transcriptomics datasets

Computational skills

Biostatistics/Bioinformatics

Literature search tools

Oral and written communication

Research experience

Ausbildung

Bachelor's degree

Master's degree

Tools

R programming

Bioinformatics tools

Jobbeschreibung

The U.S. Environmental Protection Agency (EPA) offers a research opportunity in Raleigh-Durham, North Carolina, under ORISE, to work on high-throughput chemical screening with NAMs, including imaging and transcriptomics assays. The role emphasizes hands-on lab work, data analysis, and collaboration with multidisciplinary teams.

Applicants should have a relevant bachelor's or master’s degree and strong computational skills. The appointment is full-time with a multi-year potential, and U.S.