Job Company: Dana-Farber Cancer Institute
This individual will work in conjunction with oncologists, computational biologists and research scientists to analyze cancer genomic data generated at Dana Farber using software tools within our team and by generating their own statistical analysis code.Works in teams with other scientists to define and execute computational approaches. Performs computational analysis of next generation sequencing data [More]
Designs and develops software, databases and interfaces for analyzing and manipulating biological data;Draws upon knowledge of biology to improve data mining and management techniques;Collaborates with laboratory researchers to develop high throughput data processing and analysis capability;Adds new software that has been internally developed or imported from outside sources to in-house systems... [More]
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... [More]
The ideal candidate will be passionate about advancing scientific discovery, a team player and highly self-motivated. A minimum two-year commitment is required, with appointment to commence in Summer/Fall 2018. Analyze single cell RNA-seq data and generate clustering analyses for normal and cancer cells using dimensionality reduction techniques like tSNE, PCA, or NMF. [More]
Analyze sequencing data, for example from RNAseq and CHIPseq experiments;Deploy existing programs and algorithms to evaluate other experimental data generated in our labs (e.g., drug synergy experiments, chemical screens, CRISPR screens);Provide support for basic computational tasks in the lab; Document methods for reproducible analysis... [More]
Develops the bioinformatics specific components of the Pediatrics strategy, works with department leadership to understand the gaps and needs in the area, and drives the strategic use of bioinformatics to advance priorities;Ensures all strategic department projects have defined and prioritized bioinformatics activities, and provides matrix oversight of bioinformatics and data science resources... [More]
The laboratory of Professor Xiaole Shirley Liu at Dana-Farber Cancer Institute and Harvard T.H.Chan School of Public Health invites applicants for a computational biology postdoctoral position. Qualifications:Ideal applicant should have:A PhD degree in related field (bioinformatics, physics, statistics, engineering, etc) received in the last 3 years... [More]
Assess available algorithms/tools , testing on PROFILE data and comparing the results, in order to identify the most appropriate one(s) for PROFILE;Work collaboratively with the different functional groups within PROFILE and CCGD to: Gather user and technical requirements; Define functional specifications;Implement data analysis methods... [More]
A full-time post-doctoral computational biologist position is available in the Knoechel Lab Institute in the Department of Pediatric Oncology at the Dana-Farber Cancer for a highly motivated computational biologist to join our translational and basic research efforts in cancer epigenetics. Our research focuses on the application of epigenomic approaches and low cell number technologies to discover new disease mechanisms and exploit them therapeutically. [More]
Analyze sequencing data, for example from RNAseq and CHIPseq experiments; Deploy existing programs and algorithms to evaluate other experimental data generated in our labs (e.g., drug synergy experiments, chemical screens, CRISPR screens); Provide support for basic computational tasks in the lab; Document methods for reproducible analysis... [More]