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Über
Fine-tune large-scale multimodal transformer models for clinical and biomedical applications Identify, characterize, and utilize datasets that deliver insights into pharmacokinetics, pharmacodynamics, and clinical trial outcomes Develop rigorous experimental approaches and maintain evaluation frameworks to track model quality
Required Qualifications
MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant experience, or PhD with equivalent industry experience Strong Python experience, including implementing and fine-tuning deep learning models Demonstrated experience in clinical science or working with clinical datasets Excellent data science skills, including data sourcing, extraction, cleaning, and modeling Comfort working with modern ML infrastructure such as Docker and Kubernetes
Sprachkenntnisse
- English
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