School: Harvard T.H. Chan School of Public Health
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 efforts to provide education and analytical support to the Harvard community.
The ideal candidate is someone who:is enthusiastic about teaching with demonstrated teaching experience
enjoys working in a collaborative environment
has a background in high-throughput data analysis, specifically of high-throughput sequencing (HTS) data
We are recruiting both junior bioinformaticians who are looking to learn and gain experience, as well as more senior researchers looking to lead projects and analyses, manage and mentor junior researchers.
This role provides a unique and rewarding opportunity to help determine the future direction of our training program, train and support world-class researchers, and have a profound impact on human health.
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.
The mission of our training team is to educate the Harvard community about best practices in experimental design, and data analysis and management. Workshops are designed to foster independence and confidence among participants, many of whom are wet-lab biologists using computational methods in their research for the first time. Our training materials are available on GitHub (https://hbctraining.github.io/main).
The HBC also provides bioinformatics consulting services to help researchers analyze their 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) and may involve large data sets or multiple omics data types. By combining training and consulting activities, our training team members continue to develop their expertise in HTS 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, teach, and contribute to the development of open source tools and 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.
You have a background in cancer biology, biomedical or quantitative science and a strong interest in helping biomedical researchers. You have experience with HTS 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.
DutiesHelp teach workshops and courses (i.e. basic data skills, HTS analysis) geared towards graduate students, postdocs, research staff and faculty from the greater Harvard community
The majority of your time will be dedicated to your role as a member of the training team. In this role, you will:
Develop and maintain workshop content based on the latest best practices
Assist with organizational tasks related to training activities
Be fully involved in determining the future direction of the training program
As a member of the HBC you will also be providing analysis support to researchers at Harvard and in the broader Boston biomedical community. In this role, you will:Support selected research projects by analyzing high-throughput data with best practice approaches used in the Core, assessing new methods where appropriate
Document all work thoroughly, and provide clear, manuscript-level reports of analyses and results
Be responsible for good data management of your projects
Participate in Core meetings, liaise with collaborating researchers, and participate in developing manuscripts for publication (when the opportunity presents)
Basic Qualifications:PhD in the biomedical sciences (e.g. molecular biology, cancer biology, biostatistics, computational biology, bioinformatics, etc.)
At least 2 years of experience performing HTS analyses as the primary analyst
Teaching experience (courses or workshops)
Excellent written and spoken English
Programming and data skills
-Knowledge of shell and high-performance computing
-Knowledge of R or Python
Experience in at least one of the following HTS domains:
-Whole genome sequencing
-ChIP-seq or ATAC-seq
-Other sequencing applications
Proven ability to interpret and analyze large data sets and present results
Strong interpersonal skills
Additional Qualifications:Post-doctoral experience
Experience training researchers to perform HTS data analysis
Cancer research experience
Experience applying HTS to Cancer research
Interest in development of bioinformatics pipelines
Experience interacting with clients and/or collaborators
Contact Email: email@example.com
Please note that the position is flexible, and can be tailored to a more senior role for applicants with appropriate expertise.
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.