Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.

Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.

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.

As part of the Biomarker Science & Technologies (BST) group at Takeda, you will report to the Head of Sample and Data Operations, Director and you will will w ork to advance the mission of BST and its contributions to the clinical program lifecycle.

Director, Data Science. Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. 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.

We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.

In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.

Winter 2025 Co-op - Data Science PAT, Signal and Image Processing. RND research co-op or intern positions are available for college, graduate, or PharmD students majoring in life science-related disciplines such as biology, biochemistry, bioengineering, pharmacology etc.

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.

Tracks emerging study data and works closely with data science team tensure the effectiveness of tools and data quality. Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave.

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.

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.

Bachelor's, Master's, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics.

Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions). Experience Required As a Staff Data Engineer, candidate will be part of a Data Engineering team that is focused on making critical data at National Grid available to our business teams.

Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.