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Potential areas of interest include, but are not limited to, studies focused on development of novel computational methods in biophysics, structural biology, genomics, genetics, and bioinformatics with applications ranging from image analysis for cryo-EM, cryo-ET, and advanced light microscopy to AI/ML-based modeling of protein structure-function- evolution as well as dynamic intracellular processes.
$118,900 - $141,000 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Collaborate with protein engineering, translational pharmacology, PK/PD, toxicology, computational biology, and clinical development group to pursue the most promising drug candidates. You will be a technical and scientific expert in T cell biology responsible for conceptualizing, designing and executing cell-based functional assays, multi-parameter flow cytometry, target expression analysis, mechanistic, PD, biomarker studies, and accurate exporting, formatting, and presenting data for multidisciplinary project teams.
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B.S. degree in computer science, bioinformatics, computational biology, bioengineering, mathematics, statistics, or related discipline. PhD or Master's degree in computer science, computational biology, systems biology, bioinformatics or related scientific discipline.
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REQUIREMENTS: Must possess a doctoral degree in a biomedical field, such as immunology, microbiology, cancer biology, or computational biology. We work hand-in-hand with researchers of the Scripps Research Translational Institute and Calibr to merge foundational studies in biology, chemistry and computer science with translational science to produce pioneering drugs and advances in digital and precision medicine.
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Interface with discovery biology, discovery technologies, computational biology, ADC biology and clinical groups to design, develop, and interpret datasets to support program progression.
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MS, or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field. Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies.
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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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Preferred Experience MSc. or PhD in Bioinformatics, Computational Biology, Computer Science, Software Engineering, or related field. Collaborate with various internal teams, including software, assay development, microfluidics, and systems engineering.
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PhD in computational chemistry, computational biology, computational chemical biology, or related field. 7+ years of pharmaceutical industry experience applying computational methods to drug discovery and small molecule design as a member of therapeutic project teams.
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PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or a related field. I am an experienced recruiter in Computational Scientists with an extensive network across the drug discovery community.
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Successful candidates should be self-motivated, and detail oriented with a strong background in neurobiology, cellular and molecular biology, engineering, computational biology, immunology, or a related field.
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Works closely with a team of scientists on cardiac biology research projects. The primary project centers on cardiac biology, although opportunities will arise in other domains such as neuroscience and immunology.
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We are actively seeking a dynamic and accomplished Research Scientist with expertise in both Protein Engineering and Computational Biology. Demonstrated expertise in both Protein Engineering and Computational Biology, with 2-3 years of experience in computational modeling and structural analysis.
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Working knowledge of modern molecular biology and biochemistry techniques such as chromatography, transfection, Western blots, and immunoprecipitation. And solid hands-on experience with computational tools for proteomics data analysis including Byonic or pGlyco or MSFragger, MaxQuant or ProteomeDiscoverer or Spectromine and Spectronaut or DINN.
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Experience in several of the following areas: design of enzymatic activity assays, protein engineering, process development, high-throughput screening workflows and automation, enzyme discovery, biocatalytic retrosynthesis, bioinformatics, and computational protein design.
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computational biology jobs in La Jolla, CA
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