Job Listings

Research Associate - Bioinformatics Analyst

Harvard University
Job Location:
Cambridge, Massachusetts
Laboratory and Research

School: Harvard T.H. Chan School of Public Health

Department/Area: Biostatistics

Position Description

We are looking for a bioinformatician or computational biologist to work with data from a wide variety of experimental platforms, with a focus on high-throughput sequencing technologies. This role provides a unique opportunity to participate in exciting and rewarding world-class research that is making a profound impact on human health.

About us

The Harvard Chan Bioinformatics Core (HBC) is a center for bioinformatics research, services and training at the Harvard T.H. Chan School of Public Health. We work closely with biomedical scientists across Harvard to implement approaches for analysis, interpretation, visualization and distribution of scientific discoveries using omic information. HBC projects are a mix of short-and long-term collaborations. Our team includes scientists from different disciplines who work with biomedical research groups within the Harvard, MIT and Broad communities, as well as within industry. In addition to the collaborative projects, our core has an educational mission, and several members of the core also participate in training activities, with the goal to enable researchers to analyze their data independently. The HBC emphasizes teamwork and a supportive environment where we learn from each other.

About you

You have a background in biomedical or quantitative science and a strong interest in working with medical and/or biological researchers. You thrive on scientific challenges, and enjoy collaborating with an interdisciplinary team. You can combine your knowledge of biology and computation to excel at communicating with programmers and wet-lab scientists alike. You are an independent learner, are keen to learn and apply new methods, and are motivated to continually expand your skills. You follow best practices for code and data management, have good organization skills, and are capable of simultaneously working on different projects and deadlines. You are experienced with high-throughput sequencing analysis and are comfortable mentoring junior researchers. Optionally, you have experience and interest in teaching all of the above-mentioned skills.


The Bioinformatician will support selected research projects, working independently with researchers at the Harvard Chan School, Harvard and the broader Boston biomedical community. They will provide expertise in the use of specialized bioinformatic tools and analysis methods to researchers and collaborate in analyzing and interpreting their data.

Reporting to the HBC Director and Associate Director, and coordinating closely with other Core staff, the applicant will analyze incoming data using existing analytical approaches commonly used in the Core, and assess and/or develop new methods where appropriate. They will document their work thoroughly, and provide manuscript-level reporting of final analyses and results. The applicant will summarize, analyze and visualize data using advanced techniques, and provide direct links to related informatics analysis tools. Other duties will include data management (coordinating with collaborating Research Computing groups and Core developers to ensure consistent data storage), participation in Core and lab meetings and other collaborator meetings around various campuses and liaising with collaborating researchers. Where appropriate, the applicant may participate in developing manuscripts for publication.

Basic Qualifications

  • Doctoral degree in biological sciences, statistics or related computational field (eg. computational biology or bioinformatics) required.
  • Scripting abilities (Python familiarity, R proficiency, shell scripting) required.
  • Working knowledge of biology, genetics and cell biology required.
  • Experience in at least one of the following next-generation sequencing domains required:
o Whole genome or Exome-sequencing

o Bulk RNA-seq

o Small RNA-seq

o Single cell RNA-seq

o ChIP-seq / ATAC-seq

o Bisulfite-seq

o Nanopore/PacBio long read analysis
  • Demonstrable ability to interpret and analyze data sets and present results.

Additional Qualifications

  • Knowledge of functional analysis (enrichment studies, GSEA, networks), data management and visualization.
  • Excellent written English and a familiarity with presenting biological results.
  • Strong interpersonal skills.
  • Statistical background experience.
  • Github or other version control experience
  • Ability to produce reproducible code (R Markdown, Latex, Jupyter notebooks, etc)
  • Teaching with a live-coding component

Contact Information

Radhika Khetani

Contact Email:

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: 2

Maximum Number of References Allowed: 4

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