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B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred). The Opportunity: Our group is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process.
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Demonstrated success in risk management experience using data science, quantitative methods, machine learning, decision optimization, Operations Research, Statistics, Applied Mathematics, Econometrics, Python, Spark, Scala, or R.
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Bachelors (BS/BA) in pharmacology, pharmaceutical science, biology, bioengineering, chemistry, physiology, or related discipline is required. The group provides fit-for-purpose wet lab-based investigation to address target safety assessment, lead optimization, and issue mitigation by employing state-of-the-science in vitro and ex vivo approaches.
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PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics or a related field; or Masters with equivalent experience. CZ Biohub SF itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies.
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Education: Bachelor s degree in Computer Science, Information Technology, Data Science, or a related field. This role requires expertise in AWS, GitLab CI/CD, dbt, Snowflake, SQL, Python, Git, and DevOps, as well as hands-on experience with orchestrators such as Airflow and AutoMateNow, and data governance technologies like Monte Carlo and Collibra.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Skilled in machine learning libraries (Scikit-learn, TensorFlow API) and data visualization tools (Power BI, Tableau, R-Shiny). Minimum 5 years of experience in Data Science, Data Engineering, or a closely related field, with a focus on data analytics and modeling in a production environment.
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Reporting to the Director of Computational Biology and Data Science , the Research Scientist will have primary responsibility for developing multimodal data fusion strategies and building innovative AI/ML models to enable CZ Biohub research in San Francisco.
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Educational Background: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred). Our group is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process.
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OR You may substitute education for specialized experience as follows: One (1) academic year of graduate education in a field of study such as business administration (e.g., finance, accounting, auditing, marketing, and business law), law, economics, criminology, political science, government, public administration, or another related field.
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Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch. Bachelor or Masters Degree in Data Science, Statistics, CS, or Information Sciences.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Utilize data to uncover growth opportunities and monitor key performance indicators (KPIs) With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Bachelors (BS/BA) in pharmacology, pharmaceutical science, biology, bioengineering, chemistry, physiology, or related discipline is required; Masters (MS) degree is desirable, but not required.
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Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Desired Qualifications: Experience handling large volumes of data observed by both conventional seismometers and DAS,Experience using and/or developing machine learning algorithms for Earth Science applications,Programming skills for seismic data processing,Skills in solving research questions with analytical and numerical tools,Experience working in a collaborative research environment,Experience in computer programming to use large clusters, orCalifornia Driver's License.
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machine source data science jobs Company: Walmart in San Francisco, CA
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