Dana-Farber Cancer Institute
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
The Center for Patient Derived Models (CPDM) at DFCI is seeking applicants for the position of Bioinformatics Analyst I. This is an exciting new initiative at the DFCI which seeks to advance cancer modeling science by performing research on patient derived cell lines, xenografts, and acute cell sample preparations. The applicants will work collaboratively to create and use wide range of bioinformatics tools to assist research groups to collect, manage, synchronize, explore, visualize, and analyze biological and NGS data from various databases.
Develop computational and systems strategies for data capturing, storing, searching and analyzing across various high-throughput genomic, transcriptomic, epigenomic, and molecular data.
Design and implement strategy to synchronize databases from various collaborating partners to generate an integrated database-driven web resources amendable for robust data exploration, visualization, and discovery applications.
Develop automation in capturing and creating data, reports, and summaries from electronic clinical and research records and databases.
Support the development of bioinformatics web applications.
Modify database designs to meet the requirement of new clinical/research projects.
Manage and maintain data update on project databases.
Support the development of data processing and analysis pipelines for Next Generation Sequencing data.
BS in Computer Science, Engineering, Bioinformatics, Data Science, or related fields. 1-2 years of relevant experience is required.
Basic understanding of NSG data outputs, data management and analysis. Background in Molecular Biology and Genetics is a plus.
Experience with data collection and management, and database design and management.
Experience with standards on clinical and research data procedures.
Familiar with data management software/application such as REDCap, DatStat, LIMS, and Tableau.
Experience with programming in Python and R and familiarity with MATLAB, Java, C++, Perl, web-development, and database query through SQL
Experience in developing pipelines in analyzing NGS data and familiarity with common bioinformatics resources such as bwa, BEDtools, GATK, IGC and cancer genomics resources such as cBioPortal.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.