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NeoGenomics is looking for an Associate Director, Bioinformatics who wants to continue to learn to allow our company to grow. This is a full time, benefits eligible remote position.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
Position Summary:
The Associate Director, Bioinformatics Development, is responsible for managing a team of bioinformatics scientists and developers focusing on the development and long-term maintenance of NGS product software. Their team’s responsibility will span the full product lifecycle, from early post-feasibility build-out of prototype software to ongoing improvement and support of established workflows. As such, they will interact closely with other R&D teams, including the wet lab, to refine algorithms developed by the R&D Innovation Team, as well as other teams across the organization (e.g. Operations) to ensure product software meets expected standards. This role will require a solid working knowledge of NGS data analysis techniques, preferably with a strong background in cancer genomics, as well as product-oriented software development and optimization.
Core Responsibilities:
- Work together with wet lab R&D scientists to devise experimental set up for analytical verification and validation activities
- Take over prototype software developed by the R&D Innovation Unit and build it into production-ready workflows, including refinement of core algorithms, computational scalability, and robust QC measures
- Regularly review data from commercial and/or research sequencing runs to identify opportunities for improvement to our algorithms and QC processes
- Summarize and present experimental results to both scientific and non-scientific stakeholders
- Act as subject matter expert for NeoGenomics’ bioinformatics workflows
- Lead bioinformatics development for bespoke pharma projects and clinical studies as required
Requirements:
- Master’s degree plus seven years related technical experience, in bioinformatics, computer science, computational genomics, or a related field
- Experience with leading analysis projects
- Extensive experience with next generation sequence data analysis
- Extensive experience working in a UNIX environment and with the command line (e.g. bash scripting)
- Scientific programming experience (e.g. R, Python, C/C++; Python preferred)
- Experience with developing workflows in a cloud environment (e.g. AWS)
- Prior experience with work in a regulated environment for software and quality assurance, such as ISO 13485, IEC 62304:2006, ISO 15189, or strong motivation to learn and work within such frameworks
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