Bioinformatics Analyst

Job Description:
Recombine is seeking a Bioinformatics Analyst who can work in a growing fast-paced team to help improve our research and bioinformatics capabilities

• Innovate on new methods / processes to interpret our growing genomic big data store.
• Design and implement data mining algorithms that would open avenues for new research & products
• Quickly prototype analysis methods for new machines, chemistries and laboratory methods.
• Be up-to-date with new technologies and advances in genomics
• Be part of R&D that would collaborate with Engineering and Product Teams and develop new tools
• Design computing strategy in a High Performance Computing (HPC) environment for algorithm development and optimization and be comfortable with computing infrastructure for processing NGS data (local vs. Amazon cloud, etc.)
• Contribute research findings to abstracts and publications and be able to present at conferences.

• Ph.D in Bioinformatics, Biostatistics or another quantitative discipline
• Working knowledge of developing sequencing pipelines and various genomic tools (BEDTools, SAMtools, sequence aligners, GATK, Bioconductor)
• Clear understanding of genetics and genetic basis of diseases
• Fluent with Bioinformatics databases (UCSC, NCBI, Ensembl etc.)
• Fluent in modern programming languages (e.g. Python, R, Ruby, Scala etc.), shell scripting, databases (Postgres, MySQL etc) and text file processing
• Previous practical experience implementing statistical principles and machine learning algorithms to large genomic datasets
• Curious and pragmatic. We want you to be excited about the project and able to ask the right questions
• Comfortable with problem-solving and the ability to identify and resolve issues quickly
• Strong verbal communication skills and ability to discuss data, modeling, and analytics with technical and non-technical audiences

Skills :

• Bioinformatics
• Programing Skills

Areas :

• Bioinformatics

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