Senior AI/ML Engineer - Sequence Learning

Key Skills

Aartificial intelligence, AWS, Azure, C Programming, C++, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, R Programming, SQL, TensorFlow

Job Description

We are seeking a highly experienced AI/ML engineer to join our dynamic and innovative AI/ML team focused on vaccines research development(R&D), and medicine discovery. As Sr. AI/ML engineer, you will play a crucial role in leveraging and designing novel methodologies, algorithms, framework, and tools that enable more sophisticated and effective solutions to accelerate advancement in vaccines and medicine discovery. Your role will involve collaborating with cross-functional teams and business stakeholders to implement cutting-edge AI/ML technologies that address critical challenges in vaccines and medicine development.

Responsibility

• Engage with key stakeholders including researchers, scientist, clinicians, software engineers to translate business goals into specific software/machine learning requirements and implementation plan.
• Apply advanced techniques to analyze complex biological data, identify patterns and generate insights that inform data-driven decision making.
• Design, develop, and implement novel AI/ML models, algorithms, and data analytics systems that tailed to the specific needs of vaccine R&D and medicine discovery.
• Identify and integrate diverse data sources, perform data preprocessing, feature engineering, and data integration tasks to optimize data quality for AI/ML models.
• Train, validate, optimize, and fine-tune models using advanced machine learning techniques and frameworks, ensuring superior performance, generation, and interpretability.
• Optimize and refine algorithms, tools and framework for improved performance, scalability and efficiency in handling large-scale biological datasets and complex tasks.
• Stay update with the latest advancement in AI/ML techniques, frameworks, and tools and apply them in the pharmaceutical and biomedical domains.
• Communicate findings, mythologies, and results to both technical and non-technical stakeholders.

Why You?

Basic Qualifications

• Bachelors in computer science, computer engineering, computational biology, computational chemistry, cheminformatics.
• Experience with modern deep learning architecture including CNN, RNN, Transformer, and machine learning paradigms such as generative models and active learning.
• Experience with advantage techniques such as deep learning, reinforcement learning and natural language processing.
• Experience in Python or R and experiences with machine leaning libraries and framework (e.g., PyTorch, TensorFlow, Scikit-learn).

Preferred Qualifications

• PhD or Master's in computer science, computer engineering, computational biology, computational chemistry, cheminformatics, with 5 years of post-doc experience (or MS in one of these fields with 8+ years of related experience).
• Proven experience and ability to translate business needs to advanced analytics solutions in medicine or biological science.
• Strong problem-solving and analytical skills, with the ability to propose creative and efficient solutions to solve complex biological problems.
• Independent, self-motivated, and able to excel in a goal-oriented, multifaceted, and fast-moving team environment are required.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional team and communicate technical concepts clearly to non-technical stakeholders.
• Strong publication history in peer-reviewed journals.
• Knowledge of cloud platform (e.g., AWS, Azure) and distributed computing frameworks is a plus.

Why GSK?

GSK is a global biopharma company with a special purpose – to unite science, technology, and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged, and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.