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We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. The role requires 5+ years of Software Development experience , in-depth knowledge of Python, Django, JavaScript (React/Redux preferred) , and hands-on experience with AWS.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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The successful candidate will provide scientific and technical overview for tissue-based methods that span sample processing, assay development, whole slide scanning, image QC, analysis, and data reporting.
$32 - $39 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The graduate intern will work within the computational pathology team to assist scientists on the development of machine learning approaches and refinement of existing image analysis tools. Devise machine learning approaches to develop image analysis solutions for biomarker discovery in oncology, cancer immunotherapy, or immunology.
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We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Primary Responsibilities: Primary contributor with protein characterizing mass spectrometry experiments, including maintaining the instrument, developing and performing experiments with an emphasis on intact mass, glycan analysis and peptide mapping studies.
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ResponsibilitiesExtract protein, DNA and/or RNA from necropsied animal tissueRun ddPCR, qPCR, ELISA, Western Blot etc analysis on tissue extractsCell culture, Neutralizing antibody assays and total antibody assaysSample analysis assay optimizationSOP writingData recording and analysisQC analysis This position directly impacts preclinical outcomes including proof of concept, ED50, MED, clinical hold response and IND enabling studies.
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Lead (Electronic) Engineering Technician, you will be working with a dynamic cross functional team of engineers and scientists to develop exciting new genetic analysis instruments based on qPCR, Capillary Electrophoresis, Rapid DNA, and Microarray technologies to make the world healthier, cleaner, and safer.
$32.11 - $53.51 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Qualifications:Ph. D. in Cancer/Molecular/Cell biology/Genetics, computational biology, or a related fieldStrong hands-on experience in laboratory research with molecular and cellular biology techniquesProficiency with analysis of high-throughput omics dataOne or more first-author papers published or accepted in a high-quality journalHighly motivated to conduct cutting-edge translational research that answers fundamental biological questions.
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Drive computational analysis in collaboration with wet-lab scientists to optimize molecular biology workflows and molecular designs in plants. Nobell is seeking a Computational Biologist / Machine Learning Scientist to join our team of scientists to contribute to the development of the Nobell Plant Grown Protein (PGP) platform.
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Top 3 Required Skill Sets: Histology, IHC, Pathology Data Analysis. Whole slide scanning of histology slides for pathologist review or quantitative image analysis. Digital pathology experience, including image analysis and database software.
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Expertise in mammalian cell culture using aseptic tissue culture techniques and cell-based assays to evaluate viability (siRNA/shRNA, small molecule compound screening), protein level analysis (western blot), gene expression analysis (qRT-PCR) and other functional/molecular biology assays.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Solid knowledge of medicinal chemistry principles, including DMPK, as well as the understanding of IP and its analysis is expected. Experience in a broad variety of computational techniques is essential, particularly molecular docking, pharmacophore development, library design and analysis, machine learning methods, and protein-ligand simulation.
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Candidate should have strong knowledge in comprehensive data analysis and critical thinking and complex problem-solving skills; excellent organizational, interpersonal and communication skills; great experience using report building tools such as Crystal Reports, Report Builder, Structured Query Language (MS-SQL), Excel, SSRS and Power BI, etc.
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tiger analysis jobs in San Bruno, CA
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