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High Dimensional data interpretation and visualization systems (Mode, Tableau, Apache Superset, Nivo, Plotly)General purpose data science and bioinformatics specific compute engines (Airflow, Prefect, Argo.
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O BSc/BEng/MSc/ in Data Science, Computer Science, Mathematics, Statistics, or relevant discipline. Lead the creation and implementation of comprehensive data science solutions.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Job Description Sr Research Scientist I - Oncology Bioinformatics, Research Data Science 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.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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We are looking for a bioinformatics/data science lead to advance Curve’s biomarker discovery capabilities, NGS bioinformatics pipelines, and clinical test classifiers. Ph. D. in Bioinformatics, Biology, Computational Biology, Data Science, Computer Science or a related field.
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Experience utilizing graphical software (JMP, R, Python, or similar) and motivated in handling large data sets from high throughput fermentation platforms to make data-driven decisions. Lead the development of new fermentation bioprocesses utilizing E. coli as an expression host for production of enzymes for Pharmaceutical Manufacturing & Life Science applications.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Oftware Developer 1 to join the Kundaje and Bassik labs in the Department of Genetics to lead and assist with collaborative software development, data analysis and research at the intersection of genomics, data science and machine learning.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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The platform is designed to support all our analytics, data science, and data applications. Do you have prior experience in building data platforms/data lake and analytics SaaS services in the public cloud with expertise in modern Big Data stack (Kafka, AWS MSK, Kafka Admin, Hadoop, Spark, Flink, Hive.
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Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
$114,000 - $131,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Therefore, relevant fields of research include, but are not limited to, mucosal immunology, microbiology, developmental or epithelial biology, computational biology, genomics, epidemiology, and data science.
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The successful candidate will work with a team using a high-performance data, ingest, archive, and processing system supporting the NASA Atmosphere Science Investigator-Led Processing System (SIPS), a component of the NASA Earth Observing System (EOS) Mission.
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Experience using data protection solutions, such as Forcepoint, Symantec, McAfee, Microsoft Purview, or CrowdStrike. Your IT Recruiter is helping an on-demand, autonomous ride-hailing company hire an experienced Data Loss Prevention Analyst to provide technical support for deploying, configuring, and optimizing the company's DLP security platforms.
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Qualifications: · Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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data science jobs Title: consultant Company: Palo Alto Networks in Redwood City, CA
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