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The Scientist in Functional Genomics will lead high-throughput experimental projects aimed at discovering drug targets and biomarkers while collaborating with computational and AI/ML teams. Responsibilities include designing screenings, managing projects, and troubleshooting experimental challenges while sharing insights from data analysis.
The Contracts Manager will draft, negotiate, and manage a variety of research and development contracts while ensuring legal compliance and identifying risks. They will collaborate with internal teams and oversee contract workflows to enhance efficiency and consistency in contract execution.
The Contracts Manager will oversee the negotiation, execution, and management of various research and development contracts, ensuring compliance with company policies and managing stakeholder relationships. Responsibilities include drafting contracts, identifying risks, maintaining contract management systems, and facilitating problem resolution across teams.
The Principal Scientist will focus on the analytical characterization of therapeutic biologics, leading hit generation and lead optimization efforts. Responsibilities include developing and implementing analytical methods, establishing sample preparation and data analysis pipelines, mentoring junior staff, and collaborating across research teams.
The Senior Scientist will express, purify, and characterize antibody-like molecules for therapeutic applications. Responsibilities include utilizing expertise in protein purification, leading therapeutic development, and mentoring junior staff. Strong collaborative skills are necessary for working in a fast-paced environment.
As a computational biologist, you will develop immunogenicity risk assessment approaches, maintain data pipelines, and collaborate on drug discovery projects while analyzing 'omics data and ensuring robust results.
The role involves protein design and engineering with a focus on computational methods. The candidate will apply their expertise in high-level programming and modern computing workflows to advance drug discovery and develop novel treatments.
The Scientist/Senior Scientist will investigate immunogenicity of biologics and vaccines, develop and execute assays, mentor junior scientists, and participate in interdisciplinary collaborations. Responsibilities include data analysis, strategic planning, and contributing to immunogenicity risk assessments for pipeline programs.
The AI Scientist will develop and implement innovative deep learning methods for chemistry, collaborating with biologists and chemists to advance drug discovery. Responsibilities include initiating new projects and creating state-of-the-art AI models for molecular modeling.
As an AI Scientist, you'll be part of a core AI team focused on advancing state of the art AI models to impact drug discovery and clinical development. Responsibilities include developing new deep learning methods and collaborating with interdisciplinary experts, leveraging experience in AI innovations and publications in relevant fields.
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