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The Machine Learning Research Scientist role at Pfizer focuses on designing and implementing innovative machine learning tools to enhance drug discovery. Responsibilities include developing new approaches to analyze internal and external biomedical data, creating a knowledge graph, and collaborating with an interdisciplinary team to conduct studies and publish findings.
As a Manager and Senior Clinical Data Scientist, you will oversee clinical data management, ensure accurate and timely data submission, and serve as a technical resource for data visualization and reporting tools. You will guide project teams, manage resources, and collaborate with partners to maintain data integrity and operational excellence in clinical trials.
You will manage clinical data oversight, ensuring accurate and timely data for medical reports. Responsibilities include leading projects, providing guidance, performing data validation, and collaborating with various teams to enhance data management processes and methodologies. You will focus on operational excellence in data acquisition and maintain communication with external partners for high-quality data delivery.
The role involves managing clinical data oversight, ensuring quality and timely delivery of data for patient health decisions. Responsibilities include project guidance, leading data management activities in clinical trials, collaborating with research units, and ensuring compliance with operational standards.
The Postdoctoral Fellow will enhance quantitative systems pharmacology through mathematical modeling and simulations of oncology treatments. Collaborating with various scientists, they will analyze datasets, design experiments, and communicate findings while contributing to scientific publications.
The Senior Scientist will evaluate drug interactions and protein behavior using various biophysical methods. Responsibilities include characterizing small molecule-protein interactions, representing the biophysics group on teams, and integrating emerging technologies into drug discovery processes.
The role involves architecting and implementing AI solutions and DevOps practices, focusing on CI/CD, automation, and infrastructure management. Responsibilities include designing deployment tools, monitoring system performance, and guiding junior developers, all aimed at optimizing software delivery and enhancing patient health outcomes through technology.
The Senior Principal Scientist will lead laboratory research in tumor biology, focusing on epigenetics and oncogenic transcriptional programming to identify new therapeutic targets. Responsibilities include overseeing a research team, advancing drug discovery programs, integrating complex datasets, and presenting findings. The role emphasizes collaboration and the development of innovative assays to support pharmacological changes and patient selection.
The Senior Principal Scientist will lead research efforts in the Oncology Research Unit, focusing on developing immuno-oncology therapeutic cell engagers. Responsibilities include scientific leadership in experimental planning and execution, fostering collaborations, mentoring scientists, and contributing to regulatory documents.
The Senior Scientist will focus on immune oncology research, designing and executing experiments to evaluate drug mechanisms, resistance, and combinations. Collaboration with teams is key, along with mentoring junior staff and presenting research outcomes. The role emphasizes scientific excellence and personal development.
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