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.
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ml engineer in controllable biology employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
