Winter Co-op/Compbio-ML Scientist

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. 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.

Computational Design, Data Science, VIDRU. Exploring innovative machine learning models for mRNA. Prefer students from STEM fields.

Our investment in mRNA platform, mRNA vaccine and mRNA cancer vaccines, require bringing in top talents.

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• Development of an RNA diffusion model that generates full or conditionally partial sequences while considering multiple objectives and constraints.
• Benchmarking different models based on sequence quality and generation speed.

• Must be pursuing a MS or PhD in Computational Biology, Bioinformatics, STEM field or similar discipline.
• Possess a strong background in computational methods and machine learning.
• Experience in biology, preferably with a focus on RNA.
• Must be able to work full-time (35-40 hours/week) throughout the duration of the 6 month co-op (January ~ July 2027). 
• Must have an active student status and/or within 12 months post-graduation from a BS or MS degree program. Post-doctoral candidates are not eligible. 

• Knowledge of diffusion and flow-matching ML models.

• Must successfully pass a drug screen and background check prior to assignment target start date.  
• Once your application is submitted, you will be prompted to complete our immersive GSK Digital Assessment. A passing score is required to proceed in the application process. After completing the assessment, a recruiter will review your application and contact you with next steps. 
  • Please note: We recommend using your personal email when submitting your application as school emails tend to block external senders. If you do not receive an automated email after submitting your application, be sure to check your spam folder.

• Atrium is committed to partnering with our clients to create inclusive work environments; to that end, if you need to request an accommodation to complete this application, please reach out to GSK@atriumworks.com.