Research Associate - Bioinformatics Trainer and Analyst

Located at the Harvard T.H. Chan School of Public Health, the Harvard Chan Bioinformatics Core (HBC) is 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 training team is tasked with the mission of educating the Harvard community on best practices in experimental design, analysis workflows, and data management. Workshops are designed to foster independence and confidence among participants, many of whom are wet-lab biologists applying computational methods to their research for the first time.

The HBC also provides consulting services for researchers wishing to analyze high-throughput biomedical datasets. We work closely with investigators across a broad range of disciplines from the Harvard and with industry collaborators. Projects range from short-term projects (weeks to months) to longer term collaborations (months to years) involving large data sets or multiple omics data types. By combining training and consulting activities, our training team members continue to develop their expertise in NGS data analysis through access to real-world data sets and opportunities to apply emerging and best practice methods.

As a team, we embrace an open source approach to computing and training. We use and teach open source tools and contribute to the development of open source projects; our training materials are freely available on GitHub (https://hbctraining.github.io/main). In line with this community approach, the HBC emphasizes teamwork, collaboration and provides a supportive environment where team members can learn from each other.

About you
You have a background in cancer biology, biomedical or quantitative science and a strong interest in helping biomedical researchers. You have experience with NGS data analysis and enjoy teaching. You thrive on scientific challenges, love sharing knowledge, and enjoy working both collaboratively and independently. You excel at communicating with programmers and wet-lab scientists alike, and are able to explain complex concepts simply in written and spoken form. You are motivated to continually expand your skills and are keen to learn and apply new methods. You have a system for writing good code and managing your data, and see value in enabling reproducible research. You are organized, have strong time management skills and are capable of simultaneously working on multiple projects and meeting deadlines.

Duties
The majority of your time will be dedicated to your role as a member of the training team, led by the HBC Training Director. 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.

Qualifications: Skills

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

Qualifications: Experience

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

Qualifications: Education
Doctoral or professional degree
How to apply

Apply on the Harvard University website: https://academicpositions.harvard.edu/postings/9711
Contact: Radhika Khetani - hbctraining@hsph.harvard.edu

Curriculum Vitae
Cover Letter
References Required/Allowed
Minimum - 2
Maximum - 4

Application Instructions

Apply on the Harvard University website: https://academicpositions.harvard.edu/postings/9711
Contact: Radhika Khetani - hbctraining@hsph.harvard.edu

Employer/Host
Job Family
Job Type
City

Boston, MA
United States

Last modified
Friday, July 31, 2020 - 13:18