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Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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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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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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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). 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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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.
$65 - $70 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Lead the preparation and presentation of safety data at safety governance meetings (Safety Management Team and Company Safety Committee) and for Safety Monitoring Committee (SMC), Data Monitoring Committee (DMC)/Data and Safety Monitoring Board (DSMB.
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Required Skills: PhD or MS in Bioinformatics, Mathematics, Statistics, Computer Science, or a related quantitative field. Exciting Opportunity: Seeking Senior Data Scientist (Fully Remote)Location: Remote Competitive Pay Rate: $89/hr - $91/hr Are you a highly motivated Data Scientist looking to make a significant impact in the field of clinical trials and biomarker data.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. Abbvie is seeking a highly motivated and experienced translational scientist to lead a team of senior scientists accountable for driving the development, planning, and execution of the clinical translational research and precision medicine strategy across the rheumatology drug pipeline at Abbvie.
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PhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 10+ years of relevant work experience.
$221,170 - $286,220 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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Reporting to the Executive Director, CDM, the Senior Manager, CDM will be a highly motivated, quality-focused individual who can work collaboratively in a fast-paced, cross-functional team environment, and will oversee data management activities across multiple studies from study start-up through study closure in support of clinical trial objectives and corporate goals.
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2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science, Engineering, or a related field.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. + Stay informed with emerging literature and science in the modeling and simulation sciences.
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big data science management strategy computer jobs Company: Axis Technologies in San Bruno, CA
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