With the advent of genomic sequencing, we can finally decode and process our genetic makeup. We now have more data than ever before but providers don't have the infrastructure or expertise to make sense of said data. Here at Tempus, we believe the greatest promise for the detection and treatment of cancer lies in the deep understanding of molecular activity for disease initiation, progression, and efficacious treatment based on the discovery of unique biomarkers. We're on a mission to connect an entire ecosystem to redefine how genomic data is used in clinical settings.
We are seeking a highly motivated and capable scientist with extensive experience and interest in translational oncology research specific to the development and validation of patient derived models (PDM) of cancer. This research will be focused on 1) establishing and optimizing robust, reproducible, and scalable in vitro and in vivo PDM using multiple platforms across various types of human tumors; 2) demonstrating the utility of PDM for drug screening and predictive testing for the clinic; 3) validating PDM models for drug screening and precision medicine based approaches to cancer patient treatment; 4) implementing PDM in a clinical lab testing setting.
This position offers a unique opportunity to drive cutting-edge research and to impact patient care in the near term. Top candidates will have experience translating research findings into clinically relevant and actionable information.
Duties and Responsibilities:
• Conduct lab-based research on PDM. Establish and maintain best practices and SOPs to ensure reproducibility and reliability of all research results. Collect and analyze data.
• Work in interdisciplinary groups of scientists, engineers, and product developers to translate research from our models into actionable insights.
• Critically evaluate literature related to in vitro and in vivo PDM, translate recent developments into laboratory use
• Develop high quality, robust, reproducible standard operating protocols and documentation for all projects
• Optimize and adapt PDM for drug evaluation and predictive testing.
• B.S. in biological sciences with 5+ years, or MS with 3+ years experience in Cancer Biology or biological sciences related to cancer; including 3+ years relevant laboratory experience in an academic or industrial setting developing cancer models including patient-derived xenografts, organoids, and co-culture models.
• Must have extensive hands-on experience using rodent cancer models, mammalian cell culture, and a deep knowledge and understanding of good laboratory and vivarium practices and SOPs to ensure reproducibility and reliability of all research results.
• Hands-on experience establishing and implementing quality assurance and quality control protocols to identify, avoid, and eliminate issues related to problems associated with cell culture, including cell line misidentification, contamination with mycoplasma and other agents, and genotypic and phenotypic instability.
• Hands-on experience with the evaluation of drugs and drug combinations in vitro and in vivo
• Molecular Biology: DNA/RNA preparation; PCR and qPCR; cell transduction/transfection techniques
• Physiology: tumor biology, genetic and genomic basis of cancer, understanding of advantages and limits of diverse in vitro and in vivo modeling systems and approaches
• Pharmacology: assay development including cell proliferation, cytotoxicity, and apoptosis assays, familiarity with experimental design of compound screening
• Proficiency with immunological laboratory techniques
• Hands-on experience working with primary human tissues and primary cell isolation and culture
• FACS based analysis and cell sorting
Ideal candidates will possess:
• Experience in cancer genetics, immunology, or molecular biology
• Experience working with next-generation sequencing data
• Self-driven and works well in interdisciplinary teams
• Experience with communicating insights and presenting concepts to a diverse audience
• Demonstrated ability to conceive, implement, and evaluate research projects for complex biological problems
• Enthusiasm for identifying, learning, applying, and teaching new technologies to support research objectives.
• Some experience with cellular staining assays such as immunohistochemistry, immunocytochemistry, ELISA, immuno-phenotyping using flow cytometry, or FISH.
• Some experience with assay validation and developing methods that are GLP and/or CLIA compliant is desirable.