Bioinformatics Analyst/Training

Position: Bioinformatics Analyst and/or Trainer
School: Harvard T. H. Chan School of Public Health, Boston, MA 
Department/Area: Biostatistics/Harvard Chan Bioinformatics Core (HBC)

Who are we looking for?

We seek a talented and highly motivated Bioinformatician to join our dynamic, collaborative team focused on high-throughput sequencing (HTS) applications. The ideal candidate will have experience analyzing and interpreting omics data, and is enthusiastic to share their expertise through the core’s consulting and education programs. The candidate will work as part of a team of bioinformaticians to develop and apply bioinformatics workflows to support both standard and custom data analysis for variant calling, transcriptomics, epigenomics and multi-omics projects. This role provides a unique and rewarding opportunity to support and train world-class researchers and to make a profound impact on human health.

What will you be doing?

  • 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.
  • Opportunities to teach workshops and develop new training content geared towards graduate students, postdocs, research staff and faculty.

Coordinating closely with other Core staff, the candidate 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. They 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), liaising with collaborating researchers and participating in teaching/developing workshops. 

Required Qualifications

  • Doctoral degree in biological sciences, statistics or related computational field (eg.  Bioinformatics, Computational Biology, Genomics, Biostatistics or Biological Sciences) required, with working knowledge of molecular biology
  • At least 2 years of postdoctoral experience in academia or industry using a broad range of current bioinformatics approaches for common applications.
  • Expertise in at least one of the following HTS applications is required:
    • Whole genome or exome-sequencing
    • Transcriptomics (bulk, small or single cell RNA-seq)
    • Epigenomics (ChIP-seq or ATAC-seq)
  • Demonstrable ability to apply statistical approaches to analyze data, interpret and present results
  • Excellent analytical and programming skills
  • Excellent communication and time management skills

Preferred Qualifications

  • Knowledge of and experience with cancer datasets is a plus
  • Ability to produce reproducible code (R Markdown, Jupyter notebooks, etc.)
  • GitHub repositories and publications that can showcase your skills
  • A strong interest in sharing expertise and/or teaching

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 are a central resource for bioinformatics research, services and training at Harvard and across the Boston biomedical community. We work closely with biomedical scientists to develop and execute innovative workflows to analyze, interpret, visualize and distribute scientific discoveries derived from the analysis of high-throughput data.

Our multidisciplinary team works with biomedical research groups in the Harvard, MIT and Broad communities, and at local hospitals and industry. Our core has a strong educational mission. Members of the core participate in training activities, with the goal to enable experimentalists to analyze their data independently. As a team, we embrace an open source approach; we use open source tools and contribute to the development of open source projects. In line with this community approach, the HBC emphasizes teamwork, collaboration and provides a supportive environment where team members can learn from each other. 

Salary

We offer competitive salaries that are commensurate with experience

How do I apply?

To apply email us at: bioinformatics (at) hsph.harvard.edu 

Questions?

Contact us!

Email bioinformatics (at) hsph.harvard.edu for more information

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.