Bioinformatics Trainer and Analyst Position

Harvard T.H. Chan School of Public Health
Boston, Massachusetts, United States
Job Type:
  • Faculty (Research Associate)
Degree Level Required:
PhD, Bachelor's
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Bioinformatics Trainer and Analyst Position

The Harvard Chan Bioinformatics Core is excited to expand our bioinformatics training program as part of a new collaboration with the Dana-Farber / Harvard Cancer Center (DF/HCC). We are looking for a bioinformatician to join our team in our efforts to provide education and analytical support to the Harvard community. The ideal candidate is enthusiastic about teaching (as demonstrated by their teaching experience), enjoys working in a collaborative environment, and has a background in high-throughput data analysis, specifically for next-generation sequencing (NGS) data. This role provides a unique and rewarding opportunity to train and support world-class researchers making a profound impact on human health.


In this role, you will help teach workshops and courses geared towards graduate students, postdocs, research staff and faculty from the greater Harvard community. Training topics include basic data skills (shell, version control, R, high-performance computing, Python, etc.), data management, and NGS data analysis (RNA-seq, ChIP-seq, variant calling, etc.). In addition to teaching existing content at workshops, you will generate new content and update existing content based on the latest best practices. You will also assist with organizational tasks related to training activities. You will be fully involved in determining the future direction of the training program.

You will also spend time providing analysis support to researchers at Harvard and in the broader Boston biomedical community under the direction of the Core’s Director and Associate Director. You will support selected research projects by analyzing high-throughput data with best practice approaches used in the Core, assessing new methods where appropriate. You will document all work thoroughly, and provide clear, manuscript-level reports of analyses and results. Other duties include data management, participation in Core meetings, and liaising with collaborating researchers. Where appropriate, you will participate in developing manuscripts for publication.


Doctoral degree in one of the following biomedical research areas:

  • Molecular/cellular biology
  • Cancer biology
  • Biostatistics
  • Computational biology
  • Bioinformatics

  • At least 5 years of bioinformatics experience (including doctoral work) and at least 2 years since completion of your doctoral degree
  • Proven experience with teaching courses/workshops with hands-on coding components
  • Excellent written and spoken English
  • Programming and data skills (Python, R, shell, version control)
  • Working knowledge of biology and genetics

Experience in at least one of the following NGS domains:

  • Whole genome sequencing
  • Exome-seq
  • RNA-seq (bulk/single-cell)
  • ChIP-seq or ATAC-seq
  • Other sequencing applications

Additional Information

Additional Qualifications:

  • Proven ability to interpret and analyze large data sets and present results
  • Strong interpersonal skills
  • Basic knowledge of statistics
  • Knowledge of and experience with cancer datasets is a plus