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BACKGROUND
Proteostasis Therapeutics, Inc. is seeking highly motivated individuals interested in applying computational and bioinformatic approaches to drug discovery.RESPONSIBILITIES
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
Recent Ph.D. in bioinformatics, computational biology, or computer science/electrical engineering with exposure to life sciences. A strong publication record is essential.
- 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
PREFERENCES
Postdoctoral experience or biotech/pharmaceutical industry experience is a plus.
LOCALE: Cambridge, MAHOW TO APPLY
Please send resume and cover letter to: info[at]proteostasis.com; include job code HG-BS in subject line.
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