Description

Fusion Genomics is looking to hire a Junior Bioinformatics Developer to join our team in an exciting and highly dynamic start-up environment. The successful applicant will participate in developing, improving and maintaining bioinformatics tools that will advance our next-generation sequencing assays. The job will entail conducting analysis and interpretation of assay results from large-scale clinical genomic and metagenomic datasets, developing computational methods involving machine learning, and lending analysis support to our colleagues and external collaborators. The successful candidate will work independently but will interact with our bioinformatics scientists and laboratory personnel. This role requires a general knowledge of bioinformatics, statistics, and programming, as well as effective communication skills, meticulous attention to detail, and ability to work under pressure. Key Responsibilities include maintaining a production bioinformatics analysis pipeline, understanding and providing bioinformatics support for clinical/analytical validation of genomic assays, testing and validating new data analysis software and techniques, fostering effective and collaborative working relationships, producing thorough but concise written documentation, and contributing to drafting of manuscripts for peer-reviewed journals.

Requirements

Undergraduate degree in a quantitative field with strong programming experience (bioinformatics, computational biology, data science, statistics, applied math, computer science, or engineering). Master’s degree in a quantitative field is preferred. Proficiency in Python, R, C/C++, and/or other high-level languages. Proficiency in distributed version control systems, such as git. Experience in working with standard NGS data analysis tools (such as samtools/bcftools and bwa/bowtie2/minimap2) and pipeline management frameworks (such as nextflow or snakemake). Experience in implementing and validating bioinformatics methods, in particular for next-generation sequencing analysis. Experience in working in a UNIX environment, including experience with shell scripting and common command-line tools. Experience in machine learning algorithms to analyze biological data is a plus. Basic understanding of molecular biology (infectious diseases and metagenomics are a plus). Demonstrated ability to effectively communicate in spoken and written English. Demonstrated ability to efficiently organize work assignments and establish priorities. Proven interpersonal skills with the ability to work collaboratively as a member of a cross-functional team.