Sr. Scientist, Cancer Biology-----Cambridge, MA

Job Description:

Department: Oncology Targeted Discovery, Small Molecules Bioscience

We are seeking a highly motivated, lab-based biologist to join our group as a contractor. You will support our dynamic and collaborative cross-functional team working on small molecule drug discovery projects within Oncology. You will contribute to the development of cell-based assays, study Client biological mechanisms, identify lead molecules, and elucidate their underlying mechanisms of action. These activities will help progress oncology drug candidates toward clinical evaluation. This contract offers a unique opportunity to work on a diverse range of scientific projects and collaborate with scientists across disciplines in a matrixed environment, making a tangible impact on our oncology programs.

Major Responsibilities

• Validate oncology target biology using preclinical models such as cell lines and organoids and generate derivative models using genetic approaches.
• Assay Development: Develop, implement, and troubleshoot cell-based phenotypic assays including proliferation, survival, cell cycle, and apoptosis across 2D/3D and clonogenic formats.
• Experimental Design & Execution: Design and conduct experiments to understand mechanisms of action and identify candidate biomarkers utilizing western blotting, ELISA, flow cytometry, RT-PCR, and high-content imaging approaches.
• Data Analysis & Communication: Analyze, interpret, and effectively communicate experimental data within the team and across projects.
• Record Keeping & Data Generation: Maintain clear and accurate records in accordance with best practices, including data generation for AI application and deployment.

Requirements

• Bachelor’s or Master’s degree in biology or a relevant scientific field with 6 years post-graduation research experience, or PhD with 2 years post-graduation research experience.
• Demonstrated skill in data generation, management, and analysis.
• Positive, collaborative attitude and a strong willingness to learn.
• Ability to work independently to execute experiments, identify key scientific questions, and analyze data.

Preferred Background

• Expertise in cancer cell biology and genetics.
• Drug discovery experience in academic, biotech, or pharmaceutical settings.
• Broad assay platform familiarity and experience with assay development or automation.
• High-throughput data generation experience, with the ability to analyze such large-scale datasets.