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PRODID:-//Cancer Epigenetics Society - ECPv5.3.2.1//NONSGML v1.0//EN
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X-WR-CALNAME:Cancer Epigenetics Society
X-ORIGINAL-URL:https://ces.b2sg.org
X-WR-CALDESC:Events for Cancer Epigenetics Society
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DTSTART:20191027T010000
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DTSTART;VALUE=DATE:20191110
DTEND;VALUE=DATE:20191212
DTSTAMP:20260729T142748
CREATED:20191110T154825Z
LAST-MODIFIED:20191110T154825Z
UID:21480-1573344000-1576108799@ces.b2sg.org
SUMMARY:Data analyst - Computational Biology
DESCRIPTION:The Lawrence Lab at the Massachusetts General Hospital Cancer Center seeks a data analyst to join an interdisciplinary team of computational biologists from MGH and the Broad Institute\, working at the forefront of cancer research and treatment. We use computation as a powerful microscope to study both the fundamental biology of cancer initiation and progression\, as well the diagnosis and treatment of cancer patients in the hospital setting. \nCurrent research interests of the Lawrence Lab: \nCancer evolution: We are using genomic profiling to observe the processes of clonal evolution during the course of a patient’s disease and treatment.\nResistance to targeted therapies: We are actively investigating mechanisms of drug resistance and how to combat it.\nSingle-cell sequencing: New approaches allow us to dissect a tumor down to single cells and investigate RNA expression\, DNA mutations\, and epigenetic changes all in single cells.\nLiquid biopsies: We work with state-of-the-art technologies that can monitor the progression of cancer through a simple blood draw.\nMutational processes: We are studying mutational background patterns to learn about DNA damage repair deficiencies\, which can be biomarkers for the use of genotoxic therapy.\nCancer driver genes: We are working to understand specific driver mutations that deactivate tumor suppressors or activate oncogenes.\nPrincipal Duties: \nApply existing computational pipelines\, and help develop novel pipelines\, for analyzing cancer data sets to assess data quality\, critically review and analyze results\, communicate results to biologists\, computational biologists\, software engineers and clinicians.\nExplore novel data visualization methods\, with emphasis on integrating diverse data types and extracting clinically relevant insights.\nWork with Cancer Center researchers to understand experimental procedures and the kinds of data produced (e.g. DNA sequencing\, RNA sequencing\, epigenetic readouts\, clinical outcome annotations). Meet and discuss with clinical and experimental colleagues to identify analytical challenges and goals.\nContribute to scientific writing and creation of data figures to be included in research publications reporting novel discoveries made in the lab and clinic. \nQualifications: \nB.A./B.S. (M.A./M.S. preferred) in one of Computational Biology\, Bioinformatics\, Biology\, Biochemistry\, Computer Science\, Mathematics\, Physics\, or a related field.\nAt least 2 years of experience in scientific research.\nIndependent\, self-motivated drive to push research forward.\nExcellent programming skills (using any of Matlab\, R\, Java\, Python\, Perl\, C\, etc.)\nNimble approach to programming and data analysis\, with an emphasis on simple\, intuitive\, reasoning: quickly open unfamiliar datasets\, generate simple visualizations to project the data onto our brains as usefully as possible\, to stimulate hypothesis generation and the next steps of the analysis.\nComfort using Word\, Excel\, Powerpoint to communicate results between team members.\nAbility to work together with multi-disciplinary teams comprising physicians\, biologists\, statisticians\, and software engineers.\nFluency in spoken and written English.\nExperience in machine learning\, cloud computing (e.g. Google Cloud) a plus.
URL:https://ces.b2sg.org/event/mass-10nov19/
LOCATION:Massachusetts General Hospital Cancer Cente\, 55 Fruit St\, Boston\, MA\, 02114\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/jpeg:https://ces.b2sg.org/wp-content/uploads/2017/10/mgh-massachusetts-general-hospital-cancer-center.jpg
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