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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. For more information, visit us at Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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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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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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You will contribute to developing machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials. Join our team and leverage your expertise to develop state-of-the-art machine learning models and prediction pipelines using multi-modal biomarker data from clinical trials.
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Use Advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing. PhD in data mining, database system, data management, machine learning, or statistic is a plus.
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6+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark and Airflow. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning.
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Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. · To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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Collaborate closely with Product Managers, Designers, and fellow engineers to design and implement new full-stack features and functionalities for our Customer Data Platform, using languages such as React/TypeScript, Ruby, Golang and Rust.
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You will be fluent in Python and experience with scientific software development for biochemical modeling (e.g. RDKit, Biopython, MDAnalysis, OpenMM)You will have demonstrated experience with modern Python frameworks for deep learning like PyTorchYou will have experience working with biochemical or biophysical datasets including graph, sequence, and structure-based data.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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Deep understanding of data analytics methodologies, including statistical analysis, machine learning, and predictive modeling. They should be proficient in using various data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI.
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7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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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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big data degree required jobs Title: machine learning senior in San Mateo, CA
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