Job ID: a570c473a0871553
Job date: 2019-05-03
End Date: 2019-07-02
Company : Massachusetts General Hospital Country : United States Role : Bioinformatics analyst
Job date: 2019-05-03
End Date: 2019-07-02
Company : Massachusetts General Hospital Country : United States Role : Bioinformatics analyst
Job 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.
Additional Info:
Principal Duties:
Apply 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.
Explore novel data visualization methods, with emphasis on integrating diverse data types and extracting clinically relevant insights.
Work 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.
Contribute to scientific writing and creation of data figures to be included in research publications reporting novel discoveries made in the lab and clinic.[Click Here to Access the Original Job Post]
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.
Requeriments :
Skills :
- Bioinformatics
- Bioinformatics Databases
- Biomedical Research
- Cancer biology
- Cancer Genomics
- Cell Biology
- Cloud Computing
- Computational Biology
- computational tool development
- DNA sequencing
- Genomics
- Machine Learning
- Next Generation Sequencing
- Programing in C
- Programing in Python
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- RNA-seq
- Software systems
- Strong Communication Skills
Areas :
Additional Info:
Principal Duties:
Apply 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.
Explore novel data visualization methods, with emphasis on integrating diverse data types and extracting clinically relevant insights.
Work 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.
Contribute to scientific writing and creation of data figures to be included in research publications reporting novel discoveries made in the lab and clinic.[Click Here to Access the Original Job Post]