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The department of Computational Biology is seeking an experienced lead or principal-level bioinformatics research scientist to provide direction and lead the development of pipelines for use in our clinical genomics program.
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Research, design, and deliver training materials to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers. Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data.
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Light Horse Therapeutics is a small molecule drug discovery company based in San Diego, employing tools from chemical and computational biology, in conjunction with precision genome editing methods to identify functional/ ligandable sites on high value oncology protein targets for therapeutic intervention.
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Our solution integrates cutting-edge cancer research and clinical data to empower clinicians in tailoring optimal treatment strategies for individual patients. Work closely with clinical, research, and bioinformatics teams to ensure seamless integration of molecular diagnostic data into patient care and research initiatives.
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Further degree (or equivalent) in Computational Biology, Bioinformatics, Scientific Computing or similar, employing applied mathematics and statistics, algorithm development and software programming.
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Translational Computational Biology: Bridge the gap between target discovery and clinical applications, translating molecular insights into innovative therapeutic strategies. RNA Biology Expertise: Utilize deep knowledge in RNA biology to interpret complex sequencing data, including differential gene expression, alternative splicing, and non-coding RNA analysis.
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Research, develop, design, validate and implement novel NGS-based laboratory assays using advanced computational resources, reproducible programming techniques, and QA methods. Incumbent will also be required to develop and research new testing procedures as well as the data analysis and reporting of NGS data.
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Other desirable skills include the ability to perform computational biology analyses of next-generation sequencing data and experience with various mouse cancer models. We utilize a range of techniques, including biochemical and molecular biology methods, next-generation sequencing (including single-cell sequencing), and genome editing to study these processes in cell culture, mouse models, and patient-derived models.
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PhD or Master’s degree in Computer Science, Machine Learning, Bioinformatics, Computational Biology, or a related field. Develop and apply AI and machine learning models to analyse large-scale biological datasets (e.g., genomics, proteomics, and clinical data.
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Experience with any of the following: Molecular biology, PCR, cell culture, cell culture with in vitro stimulations, ELISA, microscopy, gene expression analyses, RNA sequencing. Techniques in the lab include molecular biology, biochemistry, genetics and, as above, large data set (omics) analysis.
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Experience working with Next-Generation Sequencing Data. Experience building NGS pipelines in a clinical setting. Collaborate with scientists, and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Biophysics, Molecular biology (DNA purification, PCR, electrophoresis) or next-generation DNA sequencing laboratory experience. BS or MS in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field.
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Description Job Responsibilities:We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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computational biology sequencing clinical research jobs Title: senior data scientist
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