Bioinformatics Analyst
$65k - $90kCentrillion Biosciences
Centrillion Technologies develops advanced DNA Chips which have a wide range of applications, including whole genome sequencing, spatial biology, digital pathology, next generation genotyping, synthetic biology and DNA computing. Our world's most advanced high resolution and highly sensitive spatial chips, chemistry, its lithographic design and encoding technologies have been licensed to 10x Genomics for spatial genomics and the spatial technologies have been commercialized as through 10x Genomics' Visium HD spatial chips, exclusively in US and Centrillion's Zipcode spatial chips for single cell level spatial genomics and digital pathology. Our Palo Alto facility functions as a research institute where our team of scientists work on the latest in chemistry, biochemistry, genomics, electronics, artificial intelligence, and bioinformatics. Our current focus areas are chromosomal scale DNA sequencing, next generation genotyping, and exploratory DNA computing research. Centrillion's Molecular Vision Laboratory (MVL) is a leader in identification of genetic mutations in vision disorders. Centrillion is backed by venture capital and strategic investors and has operations in Silicon Valley, CA, Portland, OR and in Asia Pacific. Bioinformatics Analysts As a Bioinformatics Analyst, you will be responsible for developing algorithms and tools/pipelines for data analysis, including new genome sequencing data, genotyping data and other biomedical data. You will perform data analysis and benchmark analytical algorithms, tools and pipelines; participate in product development and customer support projects; explore new frontiers of data analysis; and take on other tasks that the supervisor sees fit. The bioinformatics analyst is also expected to collaborate effectively internally with molecular biologists, manufacturing, engineering and other departments as well as external academic and clinical researchers. We have two positions open - one entry level with BS degree required; and one mid-level with MS degree required. Requirements:
- BS or MS in statistics, applied mathematics, computer science or other computational science
- Knowledge about next generation sequencing (NGS), genotyping and other biotechnologies
- Familiarity with NGS data analysis algorithms and tools/pipelines
- Programming skills with C++, Python or Perl, R
- Fast learner and willing to learn new skills and technologies
- Team player with good communication skills
- Expertise in machine learning algorithms
- Experience in Next Generation Sequencing (NGS) bioinformatics pipelines/tools
- Genomics software: Mutect, Varscan2, or similar
- Standard genomics software (BWA, GATK, SAMTools or similar)
- Databases (Cosmic, TCGA, etc)
- Familiarity with various assays, sequencing modes and analysis approaches (WGS vs. Exome, RNA-seq)
- BASH scripting and Unix/Linux command line tools
- Databases - SQL and NoSQL
Vacancy posted 5 days ago
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