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RESPONSIBILITIES
Proteostasis Therapeutics, Inc. is seeking highly motivated individuals interested in applying computational and bioinformatic approaches to drug discovery. The research interest is focused on developing/applying innovative data analysis capabilities to gain insights into gene networks involved in proteome homeostasis and protein mis-folding and investigate their disease relevance. High-throughput biological datasets such as microarray data, protein-protein interaction data, RNAi data will be explored and integrated. This scientist will be part of a bioinformatics team working closely with cross-discipline teams including biology and medicinal chemistry.REQUIREMENTS
- Proficiency in large-scale biological, “-omics” data analysis. Broad experience with microarray analysis required.
- Working knowledge of systems biology (pathways, networks, etc) and sequence analysis.
- Knowledge and experience in machine learning and data mining is preferred.
- Proficiency in R, matlab, or equivalent statistical software.
- Strong background in statistical analysis.
- Good programming skills in Java, Perl, Python or C, can independently manipulate large datasets.
- Familiarity with relational databases (SQL).
- Good understanding of data analysis methods and experimental design.
- Highly analytical with good technical and problem solving skills.
- Excellent written and verbal communication skills.
LOCALE: Cambridge, MAHOW TO APPLY
Submit resume to info[at]proteostasis.com
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