At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.
At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.
Job Summary
The Department of Dermatology are seeking a highly motivated candidate to fill a full-time Senior Research Lab Tech position in Dr. Nirmal’s laboratory at the Brigham and Women’s Hospital and Harvard Medical School. The Nirmal Lab combines experimental and computational approaches to build spatial atlases of the tumor microenvironment and uncover the molecular underpinnings of oncogenesis and drug resistance in melanoma. The Senior Research Lab Tech will be involved in a project that explores the spatial reconfiguration of the tumor microenvironment during the early phases of melanoma development. This study will utilize cutting-edge technologies such as spatial transcriptomics, highly multiplexed imaging, and high-resolution 3D imaging. The successful candidate will be a team player capable of handling multiple tasks and adaptable to a fast-paced research environment. They will receive training in state-of-the-art spatial methodologies and other omics technologies. The candidate will also benefit from working in a vibrant collaborative environment with multiple groups across Harvard Medical School, Broad Institute of MIT and Harvard and Dana Farber Cancer Institute. PRINCIPAL DUTIES AND RESPONSIBILITIES: The Senior Research Lab Tech will be responsible for conducting experiments and performing data analysis to advance the research progress in the lab. As part of this work, they will be responsible for the following: - Perform immunofluorescence staining of paraffin-embedded tissue and other standard laboratory assays. - Maintain laboratory stock solutions/reagents, inventory, and order and catalog all necessary reagents and supplies. - Conduct data analysis using Python/R. - Analyze single-cell, transcriptomics, and genomics data. - Experience with image-based single-cell analysis is desirable but not mandatory, and training can be provided. - Provide regular project status updates and meet expected deliverable dates. - Collaborate with a team of scientists to foster a culture of scientific excellence and collaboration. The Senior Research Lab Tech should be able to work independently, but also be open and receptive to suggestions and feedback from the team/project leader. Attention to detail in completing tasks and a strong work ethic are essential. This includes a willingness to critically read and keep up to date on the latest scientific literature, logically troubleshoot problems, offer both intellectual and technical input during collaborative meetings, and assist in the preparation of presentations. At the Nirmal Lab, we believe that diversity, equity, and inclusion are crucial elements that are integral to achieving the highest standards of scientific excellence. Along with our unwavering commitment to these values, we recognize that helping you achieve your career goals is just as important as fostering scientific excellence in the lab. Therefore, we prioritize promoting independent thinking, offering strong mentorship,and providing vast networking opportunities.
Qualifications
- Bachelor's degree in Biology, Biochemistry, Engineering, Computational Biology, Biostatistics, Bioinformatics, or a related field. Master’s degree in a related field preferred. - Requires 3-5 years of directly related progressively more responsible experience. - Familiarity with programming languages such as Python, R, and Command Line Interface (CLI). - Knowledge of multiplexed imaging, spatial transcriptomics, and machine learning is an advantage. - Excellent communication, organizational, and time management skills.
Additional Job Details (if applicable)
Additional Job Description
Remote Type
Onsite
Work Location
77 Avenue Louis Pasteur
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement:
The Brigham and Women's Hospital, Inc. is an Affirmative Action 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.
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.