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As a Computational Biologist in NGS, you will lead and contribute to cutting-edge projects focused on analyzing and interpreting NGS data, playing a pivotal role in advancing our understanding of complex biological systems, genetic variations, and disease mechanisms.
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In this role, you will play a vital role in analyzing and interpreting next-generation sequencing (NGS) data, contributing to the success of our client projects from initial data exploration to actionable insights.
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Qualifications: Required Ph. D. in Bioinformatics, Computational Biology, or a related field with a strong biological background. Solid understanding of NGS technologies. We are seeking a highly motivated and talented Bioinformatics Scientist to join our growing team at Monoceros Biosystems.
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Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
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To support our explosive growth, we are looking for strong bioinformatics/computational biology programmers and scientists to join our team of seasoned drug hunters. This position can be either on-site in San Diego, fully remote, or hybrid.
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Ph. D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis. Have a proven track record across a wide range of computational biological methods, including but not limited to: next generation sequence data analysis, especially bulk RNAseq and scRNAseq, and data mining.
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Optimize and execute molecular-biological reactions such as PCR, DNA extractions from human brain tissue, and next-generation sequencing (NGS) library preparation. Contribute to experimental workflows for profiling the molecular contents and biological states of thousands of individual cells in brain tissue, contributing to all aspects including planning experiments; creating DNbarcoding reagents; extracting nuclei from human brain tissue; preparing molecular libraries; and high-throughput sequencing.
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Who We Are Monoceros Biosystems is a rapidly growing bioinformatics service provider to small and established drug discovery companies, as well as biotechnology investment firms. A proven track record of success analyzing Next Generation Sequencing Data from various omic types and running/maintaining bioinformatic workflows.
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Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types. Select variants of interest identified in clinical genomic data for analysis in model organisms, such as mice or zebrafish, to gain insights into biological mechanisms and disease processes.
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You will provide support to the Virology Clinical Research team with major duties and responsibilities include performing technical procedures in a virology laboratory including but not limited to droplet digital PCR, qPCR, RT-qPCR, PCR sequencing, next-generation sequencing and tissue, plasma, and FFPE DNA and RNA extractions on biological samples.
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Each day, our world-class staff, scientific expertise, operational efficiency, and superior quality systems are ready to support the range of advanced technologies that collectively improve patient outcomes - from the widely adopted and established through to cutting-edge NGS and precision diagnostics.
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BS degree in Biomedical Engineering, Biological Sciences, Industrial/Process Engineering, or Microfluidics with 3-5 years or MS with 2-4 years of relevant academic or industry experience. The Lab Automation Specialist will support the Fulgent Research & Development Team with automated solutions for workflows in our state-of-the-art NGS laboratory.
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Consulting experience in the biopharma industry or a strong understanding of the drug discovery and development process is highly desirable. Who You Are You are an ambitious bioinformatics professional fascinated by the intersection of data science and translational medicine within the biopharmaceutical realm.
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The candidate will collaborate with computational biologists and be responsible for aiding in the support of data and informatics needs through the development of novel NGS analysis pipelines, internal bioinformatics tools, and a state-of-the-art machine learning pipeline to complement capsid variant directed evolution.
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Genetics Lab Only: Molecular test design and development experience, including, but not limited to, Polymerase Chain Reaction (PCR) technique, quantitative reverse transcription - polymerase chain reaction (RT-PCR) assays, fragment analysis, next generation sequencing (NGS), Sanger sequencing, and gene expression assays; Cytogenetic and/or Molecular assay development experience in a clinical lab setting is desirable but not required.
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