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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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Scientist/Sr. Scientist Data Curator - Life Sciences Full-time remote position Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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Director, Data Science. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication , as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Experience with state-of-the-art AI & ML methods applied to biological sequence data (DNA, protein)Hands-on experience with public omics, protein and immune repertoire datasets such as PDB, OAS, SAbDab. Strong experience with scientific programming languages (Python, R) and data science libraries.
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Acts as central steward of data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, considering the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive data science modeling tasks.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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This individual will lead high-profile data science and artificial intelligence projects, working closely with Technology, Product Management, and others across multiple business units and teams to develop AI-based solutions.
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Contribute to representing data science function on project teams in support of nonclinical studies throughout analytical development, formulations development, and other CMC functions. Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.
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Develop and implement a comprehensive data strategy that includes all aspects of data quality, data governance, data management, information strategy, and data science.
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Department/Area Institute for Quantitative Social Science Position Description University’s Institute for Quantitative Social Science is seeking applications for one or more Postdoctoral Fellow positions.
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Must have good work experienceknowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
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Support project teams for development of research methods, preliminary isolation/identification of process impurities, reaction kinetics, reaction mechanism and data management (in collaboration with Analytical Development.
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data science jobs Title: executive in Cambridge, MA
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