Postdoctoral Research Fellow

Harvard University

Cambridge, MA

JOB DETAILS
SALARY
SKILLS
Analysis Skills, Animal Nutrition, Biochemistry, Bioinformatics, Biomarkers, Biostatistics, Cardiology, Chronic Disease, Colorectal Cancer, Command Line, Computer Science, Data Analysis, Data Management, Demographics, Diabetes, Disease, Epidemiology, Equal Employment Opportunity (EEO), Eukaryotic, Genetics, High Throughput, Human Health, Immunology, Infectious Diseases, Mentoring, Microbial Ecology, Microbial Genetics, Microbiology, Molecular Biology, Nursing, Nutrition, Problem Solving Skills, Public Health, Python Programming/Scripting Language, R Programming Language, Scientific Publications, Software Development, Training/Teaching, Writing Skills
LOCATION
Cambridge, MA
POSTED
30+ days ago

Position Details

Title: Postdoctoral Research Fellow School: Harvard T.H. Chan School of Public Health Department: Area Biostatistics

Position Description

OVERALL RESPONSIBILITY

The Huttenhower lab at the Broad Institute and the Departments of Biostatistics and Immunology and Infectious Diseases at the Harvard T.H. Chan School of Public Health is seeking one or more postdoctoral fellows. The successful candidates will work broadly in microbiome population studies and molecular multi-omics with specifics to be determined by individual interest and experience. Funded projects with open positions include:

  • Computational methods development and consortium data management for the Human Virome Program with the mandate to characterize viral phage and eukaryotic communities across the human body in health and disease.
  • Integration host and microbiome multi-omics for early-onset colorectal cancer biomarker development and prevention.
  • Human-animal microbiome interactions and microbiome biochemical responses to nutrition using canine and feline companion animal models in collaboration with Hills Pet Nutrition.
  • Characterizing the oral tongue swab microbiome in chronic cardiometabolic disease particularly coronary heart disease and type 2 diabetes using a subset of the 20000 individuals enrolled in the Nurses Health Study II Micro-N Microbiome among Nurses study.

The incumbent will be an integral member of our group working alongside postdocs, research staff, and students as well as with collaborators and established software development teams. Our interdisciplinary lab represents a convergence of microbial ecology, bioinformatics, biostatistics, molecular microbiology, computer science, and software development.

PRINCIPAL DUTIES AND RESPONSIBILITIES

Essential Functions:

  • Facility with analytical methods for microbiome data, particularly computational approaches for metagenomic and metatranscriptomic profiling, multi-omic integration (e.g., with metabolomics or genetics), and their application in population studies.
  • Familiarity with computational environments for omics data manipulation, command line Python, R, etc.
  • Deep knowledge in at least one relevant subdiscipline, i.e., bioinformatics, microbiology, microbial ecology, biostatistics, epidemiology, nutrition, immunology, or similar.
  • Presentation of results to collaborators, local, national, and international scientific audiences comprising broad backgrounds, quantitative, computational, and biological.

Optional Mentoring and/or Teaching Opportunities:

  • Mentoring and/or teaching opportunities in the context of Ph.D. students from the Harvard Chan School, Harvard Medical School, junior scientists, and Harvard and public guest lectures and short course workshops.
  • Regular interaction with internal and external contacts, including Harvard scientists, collaborators, students, postdocs, and external clinicians and industry leaders.

Collaboration with Teams:

  • Collaboration with teams of students, postdoctoral researchers, and faculty associated with both the Huttenhower lab and with the broader Harvard Chan Microbiome in Public Health Center on microbiome bioactive discovery and translation.

Basic Qualifications

  • Ph.D. in Computational Biology, Molecular Biology, Computer Science, Biostatistics, or related fields.
  • Some experience with microbiome, microbiological, or molecular omics preferred.
  • Familiarity with methods for high-throughput sequence analysis, ideally microbial community, metagenomics, and/or microbial genetics.
  • Excellent record of scientific contributions, publications, and presentations, primary or key author on one or more major presentations and papers.
  • Must be able to handle a variety of tasks to effectively solve problems with numerous and complex variables and to shift priorities rapidly.
  • Demonstrated success in working on complex novel research problems in a collegial environment.
  • Creativity, curiosity, and the desire, persistence, and ability to create scientific advances in human microbiome science.

Additional Qualifications

  • Special Instructions: Please send application materials, CV, and cover letter along with contact information for at least three references to Nicole Levesque (levesquehsph.harvard.edu).
  • Contact Information: Nicole Levesque (levesquehsph.harvard.edu)
  • Salary Range: $75,000 per year
  • Minimum Number of References Required: 3
  • Maximum Number of References Allowed: 4
  • Keywords: EEONon-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world and strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvards academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the universitys non-discrimination policy. Harvards equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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About the Company

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Harvard University