ml engineer in controllable biology

Описание: GSK is a global biopharma company that develops specialty medicines and vaccines to prevent and treat disease. It focuses on respiratory, immunology and inflammation, oncology, HIV, and infectious diseases. Задачи: Execute and deliver full AI/ML-driven solutions from sourcing training data through model design, implementation, testing, and benchmarking; Apply machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell experiments. Требования: Hold a Master’s degree in a related field such as computer science, mathematics, or natural sciences; Know machine learning, software engineering, and agentic development best practices; Demonstrate proficiency with standard deep learning algorithms and model architectures; Have experience with Python and PyTorch, or equivalent languages and machine learning frameworks; Have experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks, or related biological datasets; Nice to have: Advanced degree in a quantitative or computational field, knowledge of systems biology, disease biology, molecular biology and biochemistry, peer-reviewed publications in major AI conferences, track record of contributing to open-source projects. Условия: Annual bonus; Eligibility to participate in the share-based long-term incentive program; Health care and other insurance benefits for employees and families; Retirement benefits; Paid holidays, vacation, and paid caregiver, parental, and medical leave; On-site work is required 2 days per week; remote or fully home-working arrangements are not available.