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Scientist - Translational

San Diego Metro Area, CA

Posted: 06/15/2018 Job Type: Scientific Job Number: JN -062018-21849
Scientist
Ph.D. in Lifesciences or related scientific discipline with at least 2 years of pharmaceutical industry experience. A Master s degree with at least 6 years of pharmaceutical industry will also be considered
Strong knowledge of biology and drug development;
Advanced, current knowledge of oncology including disease biology and treatment approaches
Particular expertise and interest in protein homeostasis, hematologic malignancies, and immunology is sought along with skill in associated assay methods (multicolor FACS and ex-vivo assays for T- and NK cell killing).
Experience developing clinical-grade assays using flow cytometry, histology, ELISA, and DNA/ RNA methods is a plus.


Summary/Scope
The Translational Development Group is seeking a motivated translational biologist with clinical trial experience and a broad understanding of oncology research and early development. The successful candidate will have a broad understanding of molecular cell biology and immunology, with unique expertise in small molecule drug development for therapy of various hematology/oncology diseases. The incumbent is responsible for addressing questions of drug scheduling, supporting patient selection hypothesis and developing clinical assays using current techniques and primarily in vitro and ex vivo methods; and is responsible for experiment design, execution and data interpretation for well-defined projects. This employee will keep good data records and write reports.
Responsibilities will include, but are not limited to, the following:

1. Hands-on experiences with drug screening assays; ex-vivo co-culture assays with tumor/immune cells
2. Hands-on experiences with cDNA array, RT-PCR, Western blot, Luminex 4.
proficient with general skills of molecular cell biology, such as Tissue culture, DNA manipulation, RNA isolation, electrophoresis, gel staining, PCR
3. Experience with Microsoft Office Suite, electronic notebook and GraphPad Prism
4. Excellent organization, communication, data interpretation/analysis skills
5. Design and execute experiments to define and test hypotheses for patient selection
6. Develop and implement clinically robust biomarker assays; define testable hypotheses and recommendations on dose and schedule, combinations, and subsets to optimize efficacy and patient outcomes; design experiments to test hypotheses from clinical observations in preclinical model systems
7. Manage relationships and critically review data from contract labs; Interface with computational biologists to analyze genomics data
8. Present work at group meetings, internal forums and scientific conferences





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