Postdoctoral position in
Computational Biology and Environmental Health
Department of Environmental Health, Harvard T.H. Chan School of Public Health
The Haber lab is a new research group in the Department of Environmental Health at HSPH. The group investigates the effect of environmental exposures on the airways of mammalian lungs, focusing on the role of the airway epithelium in the pathogenesis of asthma. Work in the lab involves development and application of computational approaches for analysis and interpretation of next-generation sequencing data, particularly single-cell RNA-sequencing and related approaches.
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 cells. The lab works on developing the algorithms and analytical tools to model and understand these tissue-wide networks underlying allergic and non-allergic inflammation in asthma.
In addition to identifying biological mechanisms affecting respiratory health, the group is also interested in geospatial mapping of asthma burden using 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.
Fellows will be encouraged to take advantage of the rich and varied training and career development opportunities offered at HSPH. If interested please contact Dr. Haber (email@example.com).
• A PhD or equivalent in computational biology, computer science, statistics, mathematics or another quantitative field. Candidates holding a degree in biological/medical science are also welcome to apply if they have extensive background in computational or statistical work.
• Applicants must have substantial experience with genomics, epidemiologic or other statistical data analysis. Preference will be given to candidates with demonstrated research interests in relevant areas, particularly asthma, COPD, lung biology and mucosal immunology.
• Strong quantitative analysis skills and experience developing algorithms and/or conducting statistical analyses with large datasets, particularly genome-wide assays such as RNA-seq
• Experience and/or training in geospatial analysis, Bayesian disease mapping and other methods, spatial epidemiology
• Knowledge of lung biology, mucosal immunology, biology of allergy, impact of environmental conditions, particularly poor-quality housing on respiratory health
• Strong writing and verbal communication skills
Please send curriculum vitae, names and contact information of three references, and a brief statement of goals to: firstname.lastname@example.org
Patrice Ayers, Faculty Assistant
Harvard TH Chan School of Public Health
Molecular & Integrative Physiological Sciences
665 Huntington Avenue
Boston, MA 02115
Contact Email: email@example.com
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, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 3
Maximum Number of References Allowed: 3
Online App. Form: