SUMMARY

RESPONSIBILITIES

• Design, develop and operate computational pipelines for next-generation sequencing data.
• Work on both large-scale projects and small custom tasks that span a wide variety of analysis problems.
• Develop new and/or improve upon existing algorithms for variant detection (SNPs and indels) and structural variant detection (CNVs, inversions and translocations) for clinical research purposes.
• Develop and maintain a knowledge base of variants and annotations discovered in processing of samples.

REQUIREMENTS

• Master's degree or higher in bioinformatics, computational sciences or related field.

• At least 3+ years' work experience in research-and-development setting in bioinformatics
• Experience with next-generation sequencing data
• Experience in Linux/Unix cluster environment
• Advanced programming skills in Python
• Strong background in algorithm development, statistical methods, machine learning and distributed computing.
• Extensive knowledge of computational genomics and experience with high-throughput data analysis
• Outstanding personal initiative and the ability to work effectively as part of a team
• Excellent verbal and written communication skills

• Familiarity with C++, Perl, Matlab and R is desirable.
• Familiarity with databases – relational and noSQL – cloud computing and web services is desirable.

HOW TO APPLY

POLICY