The Massachusetts General Hospital Department of Pathology is looking for exceptional candidates to join the Computational Pathology Research Group. The objective of this group is to assemble and analyze large datasets (including genomic scale next-generation sequencing data). This work will be performed as part of an interdisciplinary team that includes computational biologists, bioinformatics analysts, basic and translational scientists and clinicians.
Projects will include: integration of cancer genome, transcriptome, epigenome, and single cell sequencing data; development of database structures for genomic data and clinical annotations; development of genome editing tools and pipelines; and analysis of clinical samples and materials from basic and translational research. Successful candidates will make substantial computational contributions by providing statistical analysis, identifying patterns through machine-learning, utilizing classification tools, and developing software for data analysis.
Principal duties and responsibilities:
Design and implement computational pipelines for processing of data generated by next-generation sequencing platforms (eg, DNA sequencing, RNA-seq, ChIP-seq, Single cell sequencing)
Develop data analysis strategies and apply them to cancer data sets, critically review and analyze results, communicate results to biologists, computational biologists, software engineers and clinicians
Explore novel data visualization tools, with emphasis on integrating diverse data types, which will include clinical data
Implement algorithms as software for distribution to the cancer research community
Ability to apply statistical and machine learning techniques to solve "big data" problems.
Significant experience in computer programming and algorithm development (MATLAB, R, Python, Java, Scala, C or equivalent) with a desire to focus on computational biology applications.
Ability to work in a highly collaborative and intellectually challenging environment.
Excellent oral and written communication skills.
Preference will be given to candidates with a strong record of developing solutions for computational, biological or engineering problems.
MS or PhD in mathematics, physical sciences, computer science, engineering or similar
Post-doctoral research experience in an academic or industry setting is preferred but not required.
This position will be integrated into the dynamic research environment within the MGH Molecular Pathology Unit.
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