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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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Bachelor or masters degree required with a concentration in computer science, data science, or bioinformatics, biomedical engineering, or exceptional experience with bioinformatics programming.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
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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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Master's or PhD degree in Data Science, Industrial Engineering, Operations Research, Mathematics, Computer Science, or equivalent. Combines domain expertise, business acumen, and advanced analytics to build and lead enterprise team of data science professionals.
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This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
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PhD. in Molecular Biology, Biochemistry, Virology, Immunology or a related field, with a strong background in protein science or biotechnology. Stay abreast of the latest scientific advances in life science, proteomics and drug delivery and apply cutting-edge techniques and methodologies in your research.
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Qualifications: Master’s degree in Computer Science, Data Engineering, or a related field. Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing.
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Tracks emerging study data and works closely with data science team to ensure the effectiveness of tools and data quality. o Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave.
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Innova Solutions is immediately hiring Data Operations Manager/ Clinical Data Manager. We are looking for a self-directed professional to support Digital Health Technology DHT (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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Collaborate with our biostatistics and data science group. Applicants should have an interest in developing and applying novel and state–of–the–art statistical and data science methods in environmental health.
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A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
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Qualifications: PhD degree in computer science, information science, computational linguistics, biomedical informatics, data mining, or a closely related field. Topics of study include lightly supervised or unsupervised methods, learning from vast amounts of unlabeled data, and combining knowledge from multiple sources in a joint probabilistic framework.
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data science jobs Title: data scientist Company: Jerry in Woburn, MA
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