This person will conduct bioinformatics and genomic research, and provide her/his expertise to lab members in the collection, management, interpretation, and analysis on biological, pathological, and molecular pathological data, with a focus on, but not limited to, high-throughput technologies with strong emphasis on next-generation sequencing. [More]

Originally posted on 2017-12-07
2017-11-30  -  Research Assistant  -    -  

The Knowledge Systems Group at Dana-Farber Cancer Institute seeks a Research Assistant to contribute to our applied precision cancer medicine platforms. Our platforms are focused on mining of cancer genomic data sets and enabling precision medicine initiatives at DFCI. Specifically, we are looking for a research assistant... [More]

Originally posted on 2017-12-01

We are seeking highly motivated and enthusiastic computational individuals who will work within an interdisciplinary team comprising computational scientists, data scientists, bioinformaticians, physicians, and biomedical scientists on immune-related projects in cancer. We are currently seeking a Bioinformatics Analyst with formal background in bioinformatics... [More]

Originally posted on 2017-11-27
2017-11-20  -  Front-End Software Engineer  -    -  

The Knowledge Systems Group at Dana-Farber Cancer Institute seeks a Front-End Software Engineer to help build open-source software for precision cancer medicine. Our platforms are focused on mining of cancer genomic data sets and enabling precision medicine initiatives at DFCI. Responsibilities: The Front-End Software Engineer is an exceptional candidate who has extensive web application development experience and a passion for open-source software development.  [More]

Originally posted on 2017-11-21

We seek an enthusiastic and highly motivated bioinformatics associate to join our cancer genomics research group. This individual will join oncologists, computational biologists and research scientists on a new effort aimed at studying the relationships between cancer causing genomic alterations and clinical outcome.  [More]

Originally posted on 2017-11-16
2017-11-14  -  Bioinformatics Analyst III  -    -  

We are seeking an intelligent, hard-working, and dynamic individual to serve as computational biologist for a cutting-edge cancer genomics research and clinical program.Cancer is a disease of the genome; effectively fighting cancer will depend on the successful application of genomics to the understanding, diagnosis, and treatment of cancer. [More]

Originally posted on 2017-11-15
2017-11-08  -  Research Fellow  -    -  

A post-doctoral position is available in the statistical genetics research group of Dr. Alexander (Sasha) Gusev, a faculty member at the Dana-Farber Cancer Institute and the Brigham & Women's Division of Genetics. The fellow will work closely with Dr. Gusev, and with collaborators at Dana-Farber Cancer Institute, HSPH/HMS, The Broad Institute, and the BWH Center for Data Sciences. [More]

Originally posted on 2017-11-08

We are looking for an experienced and versatile Software Engineer to work within the new cBio Center at Dana-Farber Cancer Institute in the area of biological data and information tools applied to basic biological research, cancer genomics and potential clinical translation. Applicant must have passion for developing and working with open-source technology.  [More]

Originally posted on 2017-11-02

Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. Responsibilities: Interprets complex biological information. Performs tasks to reduce and consolidate output from software. Prepares data for utilization by other scientists... [More]

Originally posted on 2017-10-14

We are looking for a highly motivated individual to join the laboratory of Dr. David Pellman at HHMI, the Broad Institute, and the single-cell genome center at Dana-Farber Cancer Institute. The successful applicant will be responsible for analyzing single-cell whole-genome and whole-transcriptome sequencing data, and for interpreting, integrating, and relating transcriptional/genetic information to experimental data from live-cell imaging.  [More]

Originally posted on 2017-09-21