Job Description
We are seeking a highly skilled and motivated Staff Scientist with significant experience in spatial transcriptomics to join our cutting-edge research team. The successful candidate will play a pivotal role in the design, execution, and analysis of experiments employing advanced spatial transcriptomics technologies, contributing to high-impact research in cancer biology and molecular profiling. The candidate will integrate clinical medicine and biology with the spatial transcriptomics data generated for these projects.
Key Responsibilities:
1.Experimental Design and Execution:
oDevelop and implement spatial transcriptomics workflows using platforms such as NanoString GeoMx, CosMx, Xenium, and similar cutting-edge technologies.
oPerform staining, hybridization, imaging, and Next-Gen sequencing to generate high-resolution spatial transcriptomics data.
2.Data Analysis and Interpretation:
oProcess, analyze and visualize large-scale spatial transcriptomic datasets using bioinformatics tools and pipelines.
oIntegrate spatial data with clinical datasets to extract meaningful biological insights.
3.Collaboration and Mentorship:
oCollaborate with multidisciplinary teams, including Physicians, bioinformaticians, and clinical researchers, to drive research objectives.
oProvide training and guidance to junior researchers and technicians in spatial transcriptomics methodologies.
4.Research and Innovation:
oContribute to the development of novel spatial transcriptomic techniques and applications.
oPrepare scientific manuscripts, grant proposals, and presentations for internal and external collaborators.
Qualifications and Requirements:
MD/Ph.D with a strong research background in spatial transcriptomics or equivalent experience.
Clinical medicine training to integrate clinical science with molecular technologies
Proficiency in spatial transcriptomics platforms (e.g., NanoString GeoMx, CosMx, or 10x Genomics Xenium).
Expertise in molecular biology techniques including RNA/DNA extraction, quantitative PCR, Next-Generation Sequencing, and Digital Pathology analysis.
Excellent organizational, communication, and collaborative skills.
Demonstrated ability to lead projects and work independently in a fast-paced research environment.
Preferred Skills:
Familiarity with cancer biology and tumor microenvironment studies
Experience in grant writing and manuscript preparation
The General Hospital Corporation is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Massachusetts General Hospital
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