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Significant experience in bioinformatics, applied mathematics and/or statistics to analyze multi-modal, multi-dimensional and large-scale biological datasets including whole exome sequencing, RNseq, and high-throughput proteomics data.
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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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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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Who you areYou will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What are we looking for in candidates.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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This data represents an enormous opportunity to guide drug development in a data-driven manner while advancing the science of precision medicine. Expand Pfizer leadership in oncology drug development and Pfizer contributions to advancing the science of precision cancer medicine by contributing to internal and external data readouts and presentations, as well as publications in top tier journals.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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10+ years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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The Manager of Data Science and Analytics role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. Experience in designing and executing data science roadmaps, successfully delivering high-impact analytics and insights.
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Historically, the lab has focused on basic and applied research for the treatment of deafness with a focus on cochlear implantation, cochlear physiology, and genetic therapies. The Epstein Laboratory is an endowed Regents Laboratory within the Department of Otolaryngology-Head and Neck Surgery at UCSF and is devoted to hearing science.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders.
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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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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab in San Francisco, CA
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