We analyze clinical samples and mouse models of airway injury, inflammation and regeneration, collaborating closely with clinical pulmonologists and immunologists to study regulatory mechanisms underlying both tissue homeostasis and disease pathogenesis. Environmental triggers of asthma stimulate pathogenic networks of inflammatory signaling involving diverse interactions amongst epithelial, immune, neuronal and stromal compartments. The lab works on developing the algorithms and analysis tools to realize the potential of new technologies to map these tissue-wide networks underlying allergic and non-allergic inflammation in asthma.
In addition to identifying the biological mechanisms through which known environmental exposures affect respiratory health, the group is also interested in mapping of asthma burden using geospatial analysis of epidemiologic data. This line of research in the lab seeks to isolate factors, such as poor housing conditions, in the social physical, and built environment that contribute to racial and socioeconomic disparities in rates of asthma.
The lab is seeking a Computational Engineer to work on the development and application of machine learning and high-dimensional statistical analysis tools to pursue these research questions.
Duties and Responsibilities include, but are not limited to, the following:
Develop, apply, document, and maintain computational tools, both for own use and to support analysis by other scientists.
Develop and apply novel computational techniques for interpretation of high-throughput biological data.
Integration of data from public databases into the group's pipelines and analyses.
Working collaboratively on interdisciplinary projects.
Building and maintaining web-based pipelines, interfaces and applications to facilitate open and public use of lab-generated datasets and algorithms.
Performs other duties as assigned.
PLEASE NOTE: This position has a term appointment of two years from date of hire, with the possibility of extension.
Harvard University requires pre-employment reference checks and background screenings.
This position has a 90 day orientation and review period.
The Harvard T.H. Chan School of Public Health does not provide visa sponsorship for administrative and staff positions.
The Harvard T.H. Chan of Public Health is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – including fostering respect for all, serving the greater good, and welcoming individuals from diverse backgrounds, experiences, and perspectives. To learn more about the Chan School's mission, objectives, and core values, please visit our website here.
Harvard offers an outstanding benefits package including:
Time Off: 3- 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year.
Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
Retirement: University-funded retirement plan with full vesting after 3 years of service.
Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools.
Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
Wellness Options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston.
Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country!
Salary Grade: 056
Union: 00 - Non Union, Exempt or Temporary
Minimum of two years' post-secondary education and/or relevant work experience
Bachelor's degree in biology, computer science, statistics, mathematics or other quantitative field, or equivalent work experience, strongly preferred
Experience in analysis of biological data is not required but strongly preferred
Familiarity with programming using Python/R or related tools preferred
Experience working in a Linux environment preferred
Experience working with high-performance compute clusters and cloud compute solutions is preferred
Strong quantitative analysis skills and experience developing algorithms and/or conducting statistical analysis with large data sets preferred
Strong interpersonal skills and effectively interacts with all levels of staff and external contacts preferred
EQUAL OPPORTUNITY EMPLOYER: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Internal Number: 50949BR
About Harvard University T.H. Chan School of Public Health
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.