We at VIC are a team of cell and molecular biologists, immunologists, neuroscientists, bioengineers, physicians, computer and data scientists, mathematicians, and science support professionals, all working together to accelerate the discovery and development of new vaccines and immunotherapies for cancer, infectious and immune mediated diseases including Type 1 diabetes and ALS.
Help us to advance now the medicines of the future.
- Drafting experimental plans for studies to be conducted.
- Conducting studies in vitro and in relevant animal models.
- Use of immunological assay techniques including multiparameter flow cytometry, immunohistochemistry and high dimensional techniques including CyTOF and RNAseq.
- Developing and maintaining animal approval documentation.
- Developing and documenting new experimental methods as needed.
- Ordering and managing supplies and consumables for specific projects.
- Conducting background research in the field of inquiry; developing and presenting background summaries and presentations as necessary.
- Drafting scientific reports (for sponsored research) and journal articles for peer reviewed publications on the results of research at appropriate time points.
- Attendance and participation in weekly laboratory meetings.
- Providing training and support for undergraduate- and graduate-level short-term trainees that may be assigned to projects being conducted by the research fellowSKILLS/ABILITIES/COMPETENCIES REQUIRED: PhD or MD, PhD in Biology, Immunology, Biochemistry, or a related field
- Strong publication and funding record
- Strong interpersonal, organizational and communication skills
- Team orientated, must be able to work within a team working on a portfolio of research projects
- Experimental design and data analysis
- Experience with primary cell culture, animal model development, and primary assays related to immunology helpful (specimen processing, Flow Cytometry, Luminex assays, ELISPOT and ELISA)
- Careful documentation of research plan, execution and data collection
The research technician will contribute to projects in the laboratories of the Vaccine and Immunotherapy Center on the 5th floor of the MGH East Research Center, 149 13th Street, Charlestown, MA. Applicants are invited to apply to a key role in an exciting translational research setting to develop cutting edge vaccines and immunotherapies. Primary research activities will include the design, execution, and analysis of immunoassays, including flow cytometry, ELISA, Elispot and in-house developed high dimensional immunology tools. Opportunities to conduct bench to patient bedside experiments and engage with non-imaging projects may be available. This position will work with laboratory investigators and the VIC administrator under the direct supervision of the VIC Director and senior scientists to carry out assigned functions related to laboratory operations and research projects.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
A highly motivated individual researcher with prior experience in tissue culture, murine models, sample preparation from blood and tissues preferred. The candidate is expected to have familiarity with laboratory research, maintain cell cultures and assess phenotypes by a variety of methods and contribute to the analysis of data derived from imaging of complex biological samples. The candidate will be expected to develop and/or demonstrate proficiency in analysis of flow cytometry and other immune assays and subsequent statistical testing to identify relationships to experimental and clinical data.
Detailed accounting of planning, execution, and analysis of experiments is mandatory. Detailed record keeping, protocol standardization, and attention to organization are essential elements of the role.
SKILLS/ABILITIES/COMPETENCIES REQUIRED
Basic competency with Microsoft Office Suite: MS Word, MS Excel, MS Powerpoint.
Highly organized and methodical.
Ability to follow detailed oral and written instructions.
Effective written and oral communication skills.
Able to work constructively in team settings.
Familiarity with project planning and tracking highly encouraged.
Basic competency in immune assays including flow cytometry and ELISA based assays. Familiarity of applied mathematics for analysis of biological datasets, including and statistics and use of associated computational tools such as FloJo, Prism and MATLAB.
Familiarity with the basic concepts of immunology and sterile technique
EDUCATION:
Bachelor of Science required
REQUIREMENTS:
Must possess at least 1 year of cumulative research experience in addition to coursework.
Please apply with a letter of interest and include your resume and references to: Pingram1@mgh.harvard.edu
This position will contribute to projects in the laboratories of the Vaccine and Immunotherapy Center on the 5th floor of the MGH East Research Center, 149 13th Street, Charlestown, MA. Primary research activities will include statistical and computational analysis of high-dimensional data sets derived from high-parameter imaging technologies (e.g. Imaging Mass Cytometry, Mass Spectrometry Imaging, RNAscope) and other complimentary assays, using a suite of publicly available and in-house developed tools. Experience with standard programming languages (e.g. R, Python), linux cluster computing, and statistical models are highly preferred. Opportunities to conduct bench to patient bedside experiments and engage with non-imaging projects may be available. Of particular importance is adherence to institutional and federal requirements regarding patient privacy and data integrity in the management of electronic data. This position will work with laboratory investigators and the VIC administrator under the direct supervision of the VIC Director and senior scientists to carry out assigned functions related to laboratory operations and research projects.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
A highly motivated individual researcher with experience in mathematics and/or computational biology and familiarity with laboratory research will contribute to the analysis of data derived from imaging of complex biological samples. The candidate will be expected to develop and/or demonstrate proficiency in analysis of high-parameter imaging data (generated from Imaging Mass Cytometry and Mass Spec Imaging) and subsequent statistical testing to identify relationships to experimental and clinical data . There is additional opportunity to refine current approaches and develop novel methods for data analysis.
Applicant should have the fundamental skills necessary to plan and execute data analysis strategies in a semi-independent manner, including interpretation and troubleshooting. Work will comprise the implementation of existing analysis pipelines in Python and R, as well as the refinement and development on additional ones. The position will require analysis of diverse sets of information and data to form a cohesive and thoughtful hypothesis and contributing to the design of experiments to drive the project forward. The applicant should be able to work well with a team of investigators with diverse expertise to develop and implement novel analysis pipelines. Also essential is the preparation of presentations and reports to provide a platform to summarize experimental accomplishments and learning experiences.
Excellent record keeping skills are an absolute requirement. Detailed accounting of planning, execution, and analysis of experiments is mandatory. This position will entail an integral role in collaborative research projects; therefore excellent communication skills, detailed record keeping, protocol standardization, and attention to organization are essential elements of the role.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
Basic competency with Microsoft Office Suite: MS Word, MS Excel, MS Powerpoint.
Highly organized and methodical.
Ability to follow detailed oral and written instructions.
Effective written and oral communication skills.
Able to work constructively in team settings.
Working in collaborative projects between academia and industry
Basic competency in applied mathematics (linear algebra, discrete math, and familiarity of applied mathematics for analysis of biological datasets, including self-organizing maps, k-means clustering, and neural networks) and statistics and use of associated computational tools such as Prism, MATLAB, R, and Python.
Familiarity with the basic concepts of immunology will be a plus, as will experience with digital image analysis.
EDUCATION:
Masters degree or higher in mathematics, statistics, computer science, or similar discipline required.
Please apply with a letter of interest and include your resume and references to: Pingram1@mgh.harvard.edu
