
1001 - 5000 employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🔬 Science
Healthcare Insurance • Pharmaceuticals • Science
Perceptive Inc. is a leading provider of scientific and data-driven solutions for the bio-pharmaceutical industry, focusing on oncology, central nervous system (CNS) therapeutic areas, and musculoskeletal imaging. With expertise in drug discovery, preclinical and early clinical imaging, and radiochemistry, Perceptive offers services that identify promising candidate compounds and mitigate risks through premier imaging services. It also provides comprehensive eClinical solutions, including Randomization and Trial Supply Management (RTSM), aimed at optimizing clinical trial processes. Trusted for its high-quality data, Perceptive serves as a partner in advancing clinical trials and bringing essential treatments to patients faster, backed by over 50 years of experience and a team of dedicated experts. Perceptive's global presence ensures seamless delivery of Discovery, eClinical, and Imaging services to support worldwide clinical trials.
🕒 May 15
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1001 - 5000 employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🔬 Science
Healthcare Insurance • Pharmaceuticals • Science
Perceptive Inc. is a leading provider of scientific and data-driven solutions for the bio-pharmaceutical industry, focusing on oncology, central nervous system (CNS) therapeutic areas, and musculoskeletal imaging. With expertise in drug discovery, preclinical and early clinical imaging, and radiochemistry, Perceptive offers services that identify promising candidate compounds and mitigate risks through premier imaging services. It also provides comprehensive eClinical solutions, including Randomization and Trial Supply Management (RTSM), aimed at optimizing clinical trial processes. Trusted for its high-quality data, Perceptive serves as a partner in advancing clinical trials and bringing essential treatments to patients faster, backed by over 50 years of experience and a team of dedicated experts. Perceptive's global presence ensures seamless delivery of Discovery, eClinical, and Imaging services to support worldwide clinical trials.
• Collaborate with scientists, domain experts, software engineers and product teams to define requirements. • Support product owners in refining user stories and defining acceptance criteria. • Translate business requirements into technical AI solutions. • Communicate complex technical concepts to technical and non-technical stakeholders. • Provide technical guidance and mentorship to junior engineers. • Lead technical planning and execution of AI/ML initiatives. • Review code and ML implementations from team members. • Identify state-of-the-art AI technique (ML, Deep Learning, genAI etc.) and the needed data sets, to solve business problems. • Design and develop AI and ML models to solve complex business problems and drive automation and efficiency improvements in workflows. • Prepare data for AI models, including cleansing, transformation and feature engineering. • Train and fine-tune AI models, including the preparation of data sets, and incorporating pre-processing and post-processing steps to further refine AI model output. • Measure model accuracy. • Collaborate with solution and application architects to ensure successful integration of AI models with enterprise platform and use in production. • Identify and address issues related to scalability, performance, security, privacy, and reliability of ML models. • Work on deploying models in production environments, managing data pipelines, and ensuring scalability. • Contribute to the company’s intellectual property through innovative solutions. • Publish and present work at conferences.
• Solid professional experience in the same or very similar role. • Proven experience in developing and deploying AI/ML solutions in real-world applications • Expertise in Machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn • Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies • Strong background in data structures, algorithms, and software engineering principles • Strong experience with medical imaging modalities (such as CT, MRI, PET, or SPECT) and DICOM standard (images, annotations, and segmentation) • Experience with feature stores and ML data pipelines • Experience of regulated environments (GxP, Financial, etc…) or relevant experience from another domain that is transferable. • Bachelor's Degree in a technical discipline (Mathematics, Science, Engineering, Computing, etc.) or a related study, or equivalent project-related experience • English: Fluent
• 25 days’ holiday (with the option to buy more) • Health Cash Plan • Optional private health, dental insurance, and health screens • Cycle to work scheme • Generous pension scheme with up to 10% employer contribution • Life assurance • Season ticket loan
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