AI/ML Engineer
5 days ago
We are seeking a highly accomplished AI/ML Engineer to join our team at GlaxoSmithKline. As a key member of our AI/ML Sequence Learning Team, you will play a critical role in developing novel therapies to existing diseases and responding to emerging or changing diseases with personalized drugs.
Key Responsibilities:
- Develop and implement machine learning and AI methods to biological sequence data from large-scale human genetic, functional genomic, and single-cell experiments.
- Design and deploy models that can infer how variants alter protein/RNA abundance, structure, and function.
- Collaborate with cross-functional teams to integrate AI/ML solutions into our drug discovery pipeline.
- Stay up-to-date with the latest advancements in machine learning and AI and apply this knowledge to drive innovation in our field.
Requirements:
- Graduate studies in Computer Science, Applied Mathematics, or a related field.
- Experience in software engineering with Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of machine learning methods and their applications in biology.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications:
- PhD in Computer Science or a related field.
- Knowledge of disease biology, molecular biology, and biochemistry.
- Experience with biological data and its applications in machine learning.
- Track record of contributing to open-source projects.
What We Offer:
- Competitive salary range: $130,900 - $177,100.
- Annual bonus and eligibility to participate in our share-based long-term incentive program.
- Comprehensive benefits package, including health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
About GlaxoSmithKline:
GlaxoSmithKline is a global biopharma company with a special purpose - to unite science, technology, and talent to get ahead of disease together. We prevent and treat disease with vaccines, specialty, and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology, and oncology).
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