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Postdoc or research fellow in bioinformatics

We are seeking a highly motivated, creative and independent individual to join our program to create algorithms to create accurate gene and isoform annotations in a collaboration between the UMass Chan Bioinformatics Core (https://www.umassmed.edu/biocore) and Garber laboratory (Computational Biology, http://garberlab.umassmed.edu).

We are pursuing a modeling, data centric, approach that integrates multiple OMICS sets. This is a unique opportunity for building, testing and refining computational models to integrate various data types for to help biological discoveries.

The person hired for this position will lead the data handling, analysis and algorithm development efforts. As such the ideal candidate will be intimately familiar with machine learning, classification and clustering algorithms, sequencing technologies and have a working knowledge of computational biology.

Responsibilities:

• Responsible for analysis and statistical modeling of Omics data (e.g. RNA-Seq, scRNA-Seq etc.)
• Development of computational tools and pipelines using pipeline managers (DolphinNext, Nextflow)
• Develop, validate, and compare the performance of prediction models using R and Python.
• Use demonstrated scientific creativity, collaboration with others, and independent thought to expand technical capabilities and identify new research opportunities.

Qualifications:

• Ph.D or masters degree in Bioinformatics, Computational Biology, Physics, Computer Science, Statistics or related field
• Working knowledge of computational biology and sequencing technologies
• Fluency in at least one scripting language (e.g. Python, Perl) 
• ANSI sql and nosql knowledge to fast and scalable databases
• Strong publication record and excellent communication skills
• Excellent organization and time management skills
• Must be able to handle a variety of tasks and to adapt to a highly dynamic environment
  

Please submit a CV, listing three references, by e-mail to:
Manuel.Garber@umassmed.edu

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