To apply, please send your resume to us at [email protected]. NVIGEN Inc. is a nanobiotech dedicated to developing the best nanoparticles for biomedical research, diagnostic and therapeutic applications. Magnetic nanoparticles and fluorescent magnetic nanoparticles are among the key products of NVIGEN Inc. These products offer unique advantages for applications such as circulating tumor cell isolation, cfDNA extraction, DNA sizing, sequence specific DNA capture, immunodiagnostic assays and T-cell activation and expansion. NVIGEN technology delivers solutions to unmet medical need in personalized medicine. Current efforts include building a comprehensive circulating marker testing platform to enable better drug selection, resistance and therapy monitoring and earlier detection of metastasis. Such comprehensive yet actionable molecular and cellular information can then be utilized to integrate personalized treatment options with NVIGEN proprietary nanomedicine engineering platform for more effective therapy. At NVIGEN, we value an environment that fosters innovation, teamwork, intellectual growth and entrepreneurship. The bioinformatics scientist will be responsible to develop algorithms and tools/pipelines for next generation sequencing and diagnostic assay data analysis; work with cross-functional team in product development and customer projects; capable of analysis and interpretation of complex genomic data obtained from custom, high throughput laboratory services and for liquid biopsy tests; support the data analysis function of our comprehensive circulating marker testing technology for better cancer diagnostics including recurrence prediction, treatment guidance and earlier detection with clear clinical utility to significantly improve patient care. Requirements: Ph. D. in bioinformatics, statistics, applied mathematics, computer science or other computational science, or Bachelor’s degree with 5 years of relevant technical experience; Proficient knowledge of analyzing genomics diagnostics NGS data, able to develop algorithms and tools/pipelines independently; Deep expertise in interpretation of public annotation databases, using tools (BLAST, Bowtie, Clustal, etc.) and common algorithms to evaluate sequencing data; Proficient in statistical data analysis software and scripting language (such as C++, Bash, Python, R and high degree of familiarity with Debian and RedHat-based distributions (Debian, Ubuntu, RHEL, CentOS), particularly with a focus on system service and process configurations; Experience in storage of sequencing data, databases, and clinical NGS diagnostics; Proven problem solver welcoming user-driven development requirements; Desire and ability to excel in a fast-paced startup environment; Honor teamwork, collaboration, great communication and presentation skills.