Associate Researcher I - Windreich Department of AI & Human Health
Summary
Conducts routine lab experiments in AI-driven healthcare research, including DNA/RNA extraction, PCR, and data analysis to support clinical studies and publications.
The Windreich Department of Artificial Intelligence and Human Health (AIHH) at the Icahn School of Medicine at Mount Sinai leads a pioneering collaboration with the Charles Bronfman Institute for Personalized Medicine (CBIPM) and the Hasso Plattner Institute for Digital Health (HPIMS) to transform the future of health care. Together, these three entities form a unified ecosystem that integrates advanced AI-driven diagnostics, large-scale clinical research, and cutting-edge digital innovation to accelerate scientific discovery and deliver meaningful improvements in patient care and health systems worldwide.
We are seeking an Associate Researcher I for a laboratory research position, responsible for independent conduct of routine and standardized experiments. This individual assists in the interpretation of research outcomes, performs assays to support research studies, and assists in the clerical and supply aspects of the laboratory environment.
- Conducts routine and standardized experiments using appropriate research techniques specific to subject matter of the research project.
- Conduct DNA and RNA extraction, purification, quantification, and quality assessment using standard molecular biology techniques.
- Perform molecular biology assays, including PCR, gel electrophoresis, and other laboratory based analytical methods as required.
- Analyzes and assists in interpreting moderately complex results.
- Analyzes and assists in interpreting laboratory results.
- Performs assays to support research studies.
- Maintains laboratory environment and assists in the upkeep of appropriate inventory; may include ordering of supplies.
- Logs and tests samples; prepares and submits laboratory materials and specimens for shipment.
- Assists in new and unexpected research experiments and techniques.
- Assists in the collection, analysis and review of experimental data for publication and presentation.
- Performs other related duties
- Bachelors or Masters degree in science or related field required
- No experience required. One year of research experience preferred.