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Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. While a wide background in NGS bioinformatics will be useful, deep experience with DNA¬-seq and/or RNseq data is strongly preferred, including whole genome, whole exome, SNP¬-array, tumor/¬normal.
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Reporting to the VP of Computational Biology, the Director, Computational Biology will interact closely with the core R&D team and be responsible for developing and implementing computational models and algorithms to analyze complex biological data sets and support assay development and collaborations with Key Opinion Leaders in academia and industry.
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Minimum of 12 years of related experience with a Bachelor’s degree, 8 years and a Master’s degree, or a PhD with 5 years experience, or equivalent experience, with at least 3 years of experience directly in the cell and gene therapy field; degree in Chemical or Biological Engineering, Molecular Biology, Genetics, Virology, or related disciplines.
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The selected individual will be tasked with performing a wide range of genomic technologies including, but not limited to, Illumina NGS, single-cell and bulk RNA sequencing library preparation, molecular cloning, cell line engineering and lentivirus production.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Very strong intuition and first-principles approach to molecular biology assays, analytical chemistry tools, and NGS library prep (PCR, DNA purification, electrophoresis, etc.) [Full Time] Senior Scientist - NGS Assay Development at BillionToOne (United States) | BEAMSTART Jobs Senior Scientist - NGS Assay Development BillionToOne United States.
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Knowledge of molecular biology to support equipment activities in a Next-Generation Sequencing (NGS) workflowHands-on experience in qualifying equipment within a high-throughput clinical laboratory setting.
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Strong background in molecular biology, cellular biology, genetics and/or biochemistry, with a solid understanding of biological principles and experimental techniques. Proficiency in programming languages commonly used in bioinformatics and computational biology, including R and Python.
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While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.
$214,000 - $321,000ExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Extensive experience with next generation sequencing (NGS) methods and techniques. Skilled at writing clear plans, reports and SOPsEpigenetic/methylation, target enrichment, working with cfDNA/RNA/FFPE tissues and NGS data analysis.
$108,800 - $163,100ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Division of Molecular Imaging Program at Stanford (MIPS) in the Department of Radiology is an inter-disciplinary program to bring together scientists and physicians who share a common interest in developing and using state-of-the-art imaging technologies and developing molecular imaging assays for studying intact biological systems.
$56,000 - $77,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Demonstrated knowledge of clinically relevant biomarker approaches across a range of technology platforms (NGS, RNAseq, IHC, mIF, qPCR/ ddPCR, etc.) Experience in Translational Medicine with clinical-stage oncology/ immuno-oncology drug development is highly desirable.
$150,000 - $190,000 a yearExpandUpdated 14 days ago - UpvoteDownvoteShare Job
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Develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in biological imaging such as increasing contrast of images, resolution of images, and throughput of data.
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Experience with multicolor flow cytometry (10 color+), NGS workflows, high throughput screening. We’re seeking a versatile, multidisciplinary scientist who is excited to utilize their cross functional expertise to develop impactful platforms and technologies for interrogating biological systems.
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You will lead design, development, and implementation of statistical, bioinformatics and machine learning methods that integrate large multi-modal datasets to derive quantitative biological insights or perform hypothesis-driven biomarker analyses that support clinical development, translation of clinical findings, and other business decision-making.
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Post-doc experience in statistics, computational biology, genetics, or biological field with a strong computational aspect, while not required, would be considered as a significant advantage. Significant innovation surrounding the derivation of biological insights and complex mechanisms of the microbiome in particular would be advantageous.
$195,814 - $293,720Full-timeExpandApply NowActive JobUpdated Today
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