Summer Intern/Digital Virology

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. 

Department Description

Welcome to our dynamic and forward-thinking Digital Virology team, where cutting-edge technology meets biological sciences to create impactful solutions for vaccine development and therapeutic innovations. We are excited to offer an internship opportunity that provides a unique platform for PhD candidates in computer science, electrical engineering, or related fields to engage with transformative projects at the intersection of machine learning, computational biology, and virology.

As part of our team, you will collaborate closely with experienced data scientists and researchers, gaining valuable insights into how advanced algorithms and computational methods can accelerate advancements in medicine discovery. This internship is designed to provide a hands-on experience where your theoretical knowledge meets practical application, allowing you to contribute to real-world challenges while furthering your academic and professional growth.

Job Description

• Collaborate with a multidisciplinary team to develop machine learning models for predicting infectious disease incidence.
• Apply deep learning techniques, including transformer models and graph neural networks, to analyze complex epidemiological data.
• Innovate by creating novel algorithmic approaches that enhance the accuracy and efficiency of our predictive models.
• Gain experience in handling large-scale datasets, applying sophisticated analytical methods to derive actionable insights.

Minimum Qualifications

• Pursuing a PhD in Computer Science, Computer Engineering, or related disciplines.
• Strong foundational knowledge of machine learning and deep learning principles, with specific expertise in transformer models.
• Experience with PyTorch or Keras.
• Passionate about using technology to improve public health and combat infectious diseases.
• Must be able to work full-time (35-40 hours/week) throughout the 12 week internship (May/June - August 2025).
• 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.

Preferred Qualifications

• Demonstrated experience working with GNN.
• Hands-on experience in developing predictive models in biomedical industry.
• Peer-reviewed publications on Dynamic GNN.
• Experience in developing deliverable packages or libraries.
• Solid understanding of SQL, NoSQL, or graph database systems.
• Experience with Linux and HPC.

Eligibility Requirements

• 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 World of GSK Assessment.
  • Please note, you must receive a passing score to move forward in the application process. Once your assessment is complete, a recruiter will review your application and be in touch with next steps.
• Please note this role is virtual.

Benefits

• While GSK embraces a flexible work environment, we do require certain positions to be onsite. Candidates who are hired for an on-site role or hybrid role, and reside outside of 50-miles from their assigned work location, are eligible for relocation stipend. This is a one-time payment to help offset housing & relocation expenses. Please refer to the position details for the requirements of each position.
• GSK Interns and Co-ops are offered a competitive hourly pay rate and benefits. Please note, benefits eligibility determined the month following date of hire.

This job posting is for a temporary role as an employee of Atrium on assignment at GSK. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on several factors, including skills, competencies, experience, educational degree obtained, location and/or being pursued and other job-related factors permitted by law.

In addition, this role will be eligible for overtime pay, in accordance with federal and state requirement.

Pay Rate Range: $21/hr to $40/hr

Interested in learning more? Register now on our digital learning platform (GSK Get Ahead - Connectr) where you can access interview and assessment hints and tips, speak to a mentor and learn more about life at GSK.