Join GSK as a Data Scientist in Computational Design

At GSK, we are dedicated to creating an environment where you can thrive, feel safe, and be part of a community that values and includes everyone. We are a global biopharma leader focused on merging science, technology, and exceptional talent to stay ahead of diseases and impact global health positively. Our extensive range of benefits includes competitive salaries, performance-based bonuses, comprehensive healthcare programs, a pension plan, and an employee stock ownership program. We're proud to promote Performance with Choice—a modern, hybrid working model designed to empower you with the flexibility to balance remote and in-office tasks effectively.

About the Role: Data Scientist - Computational Design (Maternity Replacement)

The Data Scientist, Computational Design, will drive the technical advancement of our Vaccines projects through cutting-edge Data Science and Computational Design techniques. Located within our Vaccines Discovery Data Science Centre of Excellence, this role entails formulating and analyzing complex, high-dimensional data sets to derive biological insights crucial for vaccine R&D. You will work autonomously across various projects, employing your expertise in technical methodologies and strategies to enhance vaccine and antigen design. Reporting to the Head of Computational Design, this position guarantees our data analytics and bioinformatics efforts align with the pinnacle of research and industry standards.

Key Responsibilities:

As part of your role, you will:

• Develop and optimize computational design workflows for proteins and antigens that enhance multiple vaccine properties.
• Create data analysis pipelines that integrate diverse, large-scale datasets and tools within a clear structural biology framework.
• Drive innovation and facilitate collaboration to refine our data-driven approach, enhancing processes and boosting research outcomes.
• Communicate complex Computational Design principles effectively to both internal stakeholders and the wider scientific community.

What it Takes to Succeed

Basic Qualifications & Skills:

• Master's degree in Bioinformatics, Computational Chemistry, Computational Biology, or related fields.
• Hands-on experience with protein sequence and structure data analysis.
• Proficiency in programming languages such as Python and C/C++.
• Familiarity with machine learning and/or deep-learning frameworks like scikit-learn or PyTorch.
• Fluency in English.

Preferred Qualifications:

• PhD in relevant fields.
• Experience using AI/ML tools for protein design.
• Expertise in integrating data for hypothesis generation to support protein design and selection.

Why Choose GSK?

Our mission at GSK is to revolutionize how we prevent and treat disease. With a robust focus on infectious diseases, HIV, respiratory/immunology, and oncology, we leverage advanced technology and insightful research to lead the healthcare industry. By fostering an inclusive culture, we aim for GSK to be a place where you can develop personally and professionally in a supportive environment, focused on wellbeing and continuous growth.

If you're looking to make a significant impact in a global health-focused organization, consider joining GSK. Together, let's get ahead of disease and make a lasting difference in the health of billions of lives.

GSK is proud to promote a diversity-rich workplace with equal opportunities for all. For any required accommodations or assistance during the application process, please contact GSK Service Centre. GSK is an Equal Opportunity/Affirmative Action Employer.

Application Deadline: May 29th, 2024

Note:

Employment businesses/agencies are reminded to obtain prior written authorization before referring any candidates to GSK. Refer to our formal guidelines for further details.

Ready to advance your career with GSK? Explore life at GSK and learn more about our groundbreaking projects by visiting our official website .