BostonGene is pioneering the use of biomedical software for advanced patient analysis and personalized therapy decision making in the fight against cancer. Our unique solution integrates cutting-edge multiomic molecular diagnostics with a constantly evolving aggregation of the latest cancer research and clinical information from around the world. The BostonGene platform performs sophisticated analytics to aid clinicians in their evaluation of viable treatment options for each patient’s individual genetics, tumor, tumor microenvironment, clinical characteristics, and immune status. BostonGene’s mission is to enable physicians to provide every patient with the highest probability of survival by combining cutting-edge molecular diagnostics with advanced analytics to select optimal personalized therapies for cancer.
As part of our new Immune Profiling Initiative we are seeking a highly motivated scientist to join our R&D team in our laboratory located in Waltham, MA. As part of our Immunology group, this candidate will support the development and maintenance of cutting-edge analytical platforms to evaluate a patient’s immune status, including multi-parameter flow cytometry, and next generation DNA and RNA sequencing (NGS). The candidate will engage in the development and validation of these platforms to meet CLIA and CAP standards for clinical implementation. The candidate will participate in and direct dynamic clinical research projects in Immuno-oncology; to define cellular and molecular signatures that can accurately predict patient responses to therapy. The candidate will also use cellular immunology techniques to support BostonGene’s state-of-the-art primary next generation sequencing (NGS), adjunct analytical platforms, and automated analysis pipelines.
- Develop and optimize diagnostic tests for the clinical testing, through the establishment of Immunology and NGS techniques and protocols in support of our immunoprofiling initiative.
- Identify immunologically-relevant gene signatures within peripheral blood and tumor tissues of cancer patients, across many different cancer types, which correlate with response to immunotherapy using Flow Cytometry and NGS techniques.
- Design and execute immunology experiments that generate high quality data sets to train machine-learning based models for automated data analytics.
- Independently plan and execute experiments, analyze raw data, present key findings within project deadlines.
- Refine existing, and establish new Immunology laboratory SOPs.
- Work closely with BG computational biologists and bioinformatics specialists to meet project goals.
- Doctor of Philosophy (Ph.D.) in Immunology, or Biological Sciences with a concentration in Immunobiology
- Experience in hands-on clinical or pre-clinical Immunology research, demonstrated by a record of peer-reviewed publications.
- Contemporary and dynamic knowledge of immunology and immuno-oncology literature.
- Proven ability to drive and troubleshoot challenging experimental protocols.
- Experience with multi-parameter flow cytometry, and the analysis of flow cytometry data.
- Familiarity with FACS-sorting and the downstream analysis of sorted cell populations.
- Understanding of NGS technologies, including single-cell RNAseq.
- Openness to learning and mastering new techniques and approaches.
- Self-driven, highly motivated team player with a proven ability to multitask.
- Desire to work in a fast-paced environment with minimal supervision.