Title Research Associate - Bioinformatics Analyst and Trainer
School Harvard T.H. Chan School of Public Health
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.
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 dissemination of
scientific discoveries using high-throughput omics 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. The HBC emphasizes teamwork and a supportive environment
where we learn from each other.
You have a background in biomedical or quantitative science and a strong
interest in working with biomedical researchers. You thrive on scientific
challenges, and enjoy collaborating with an interdisciplinary team. You can
combine your knowledge of biology and computation to communicate effectively
with programmers and wet-lab scientists alike. You are an independent learner,
are keen to explore 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. You have
an interest and/or experience in teaching all of the above-mentioned skills to
The Bioinformatician will support selected research projects at the Harvard
Chan School, Harvard and the broader Boston biomedical community. They will
provide expertise in the use of specialized bioinformatics tools and analysis
methods. They will collaborate with researchers to design, analyze and
Coordinating with experienced Core staff, the candidate will analyze incoming
data using existing analytical approaches in the Core, and assess and/or
develop new methods where appropriate. They will document their work
thoroughly, adhere to NIH requirements for data management, and provide
manuscript-level reporting of final analyses and results. They will summarize,
analyze, and visualize data using advanced techniques, and present it clearly
to collaborators. The candidate will work with the training team to teach
workshops and develop new training content geared towards Harvard graduate
students, postdocs, research staff and faculty.
● Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics or
Biological Sciences 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:
o Whole genome or exome-sequencing
o Transcriptomics (bulk, small or single cell RNA-seq)
o Epigenomics (ChIP-seq or ATAC-seq)
● Excellent analytical and programming skills
● Excellent communication and time management skills
● Demonstrable ability to apply statistical approaches to analyze data,
interpret and present results.
● A strong interest in teaching.
● Knowledge of and experience with cancer datasets is a plus
● Ability to produce reproducible code (R Markdown, Latex, Jupyter notebooks,
● GitHub repositories and publications that can showcase your skills.
● Experience teaching with a live-coding component.
Harvard Chan Bioinformatics Core
Contact Email firstname.lastname@example.org
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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