Job Description
Job Summary:
- We are seeking an experienced individual with oncology discovery and/or translational expertise to join the Translational Research team within the Client at in Cambridge, MA.
- The qualified candidate will work broadly with the research organization to support drug discovery programs, by conducting experimental work in a translational setting, including developing and implementing cutting-edge technology and Client cellular, molecular and biochemical assays in cancer research and deliver data for Oncology TRC programs.
Duties and Responsibilities:
- Design, optimize, and set up high-throughput screening cellular assays to characterize drug responses and combinations in various in vitro oncology models.
- Conduct molecular, biochemical and related assays including qPCR, ELISA, Western blot, immunostaining and basic microscopy.
- Develop biomarker, pharmacodynamic and target engagement assays.
- Execute, troubleshoot and interpret scientific experiments with some supervision.
- Effectively communicate and document experimental procedures, analyze results and data through study reports and internal meetings.
- Collaborate with other team members in areas of responsibility.
Education and Experience:
- Bachelor’s Degree with 3-5 years of academic and / or industry experience.
- Master’s Degree with 1-3 years of academic and / or industry experience in cellular biology, oncology and molecular biology in the pharma or biotech setting may be considered.
- Hands on experience in conducting cancer cell line and primary cell culture, expansion and functional assays.
- Experienced in the design and development of cell-based and molecular assays in a high-throughput manner.
- Experience performing analysis of protein and DNA/RNA samples using a variety of methodologies including but not limited to western blot, flow cytometry, qPCR, client /ELISA, RNAi, CRISPR.
Skills and Abilities:
- Proficiency in utilizing software such as Graph Pad, Microsoft office etc. for data analysis and figure generation is required.
- Excellent organizational skills and ability to maintain accurate, detailed record-keeping of laboratory data.
- Ability to summarize and interpret scientific data and communicate well with peers and supervisors.