We are looking for a highly skilled senior data scientist to join our dynamic and innovative Digital Virology team. In this key role, you will utilize your expertise in computational biology and machine learning to develop advanced models for vaccine and therapeutic applications. Collaborating with cross-functional teams, you will integrate experimental data with predictive algorithms to drive cutting-edge research.

Your contributions will be vital in advancing vaccine platform and enhancing our capacity to create next-generation vaccines and medicine. A strong foundation in computational biology, along with a proven ability to manage large-scale datasets and apply machine learning to solve biological challenges, is essential for success in this position.

If you are passionate about turning complex biological data into actionable insights and want to make a meaningful impact in people’s live, we invite you to join us on this exciting journey.

Your Responsibility

• Design and implement advanced computational models to optimize target for vaccines and therapeutic applications.
• Integrate experimental data with computational predictions to develop novel predictive algorithms with interactive learning approaches.
• Leverage the latest machine learning research and computational biology to develop predictive models that enhance preclinical and clinical vaccine research.
• Conduct sophisticated analyses of large-scale biological datasets to derive insights and decision making.
• Identify, curate, and integrate relevant datasets and tools from public and proprietary sources to enrich computational design projects.
• Contribute to the strategic direction of Digital Virology programs by leveraging data-driven insights to identify opportunities for innovation.

Why you?

Basic Qualifications

• PhD in Computer Science, Computer Engineering, Bioinformatics, or a related field with 5+ years’ experience; or an MS in one of these fields with 8+ years of relevant experience in a fast-paced environment.
• Min 5 years Industry experience in algorithm development, machine learning and statistical modeling techniques.
• Proven track record in designing, developing, and implementing bioinformatics workflows, data analytics, and predictive modeling.
• 3 years min Industry experience with deep learning techniques, including CNNs, RNNs, autoencoders, and transformers/large language models.
• Proven programming skills in languages such as R, Python, and hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorch.
• Industry experience in problem-solving and analytical skills, with the ability to propose creative and efficient solutions for complex challenges.
• Independent and innovative, with the ability to thrive in a goal-oriented, multifaceted, and fast-paced team environment.
• Excellent written and verbal communication skills, capable of effectively conveying technical findings to stakeholders.

Preferred Qualification

• Hands-on experience of developing predictive models in health care industry.
• Experience with RNA/protein folding; modeling RNA/protein structures and interactions.
• Experience and knowledge in in-silico antibody and/or small molecule drug discovery, including developability, prediction, and validation.
• Proficient with agile software development process.

#LI-GSK

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease 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. 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).

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.

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