Staff Research Associate I - Hematology/Oncology

Description

The Staff Research Associate I (SRA I) will assist in preparation, management and daily use of critical laboratory resources including frozen human tissue bank, hybridomas and human cell line stocks. This position will entail the isolation of biological materials, (DNA, RNA and protein) from precious human tissues, cell lines and xenografts. High-quality management and cataloging of these resources using relational computer database will be required. The job will entail a large amount of tissue culture work, including cell maintenance type work, as well as cell proliferation assays. In addition, the position will require the generation of Western blots, PCR, RT-PCR assay, DNA gel electrophoresis, PCR product purification, DNA gel isolation, generation of expression vectors through molecular cloning, including DNA mini & maxiprep and restriction enzyme digestion. Generation of cell line clones through molecular cloning and lentiviral system will also be required.

Salary Range: $30.12 - $35.92 Hourly

Qualifications All Required:

• Experience in in Biology, Microbiology or related area
• Demonstrated ability to set and meet internal deadlines, work independently, use judgment and make decisions.
• Ability to organize and update paperwork with supervision.
• Ability to Maintain proper usage of laboratory equipment.
• Experience in culture tissue procedures.
• Ability to perform gel electrophoresis.
• Ability to organize raw data into relevant formats such as PowerPoint slides.
• Ability to communicate well, work in a team environment organized and must be able to keep detailed notebook.
• Experience working with mouse xenograft models of cancer.
• Expertise monitoring of drug efficacy and toxicity of novel anti-cancer compounds.
• Experience preferred tissue culture, cell maintenance type work as well as cell proliferations assays.
• Experience with both two- and three-dimensional drug response assays.
• Skills in isolation of biological materials, (DNA, RNA and Protein) from precious human tissues and cell lines as well as the cataloging and management of resources using relational computer databases.