Data Scientist - Predictive Modeling / Computational Biology

GSK

GSK is a global biopharmaceutical leader, dedicated to uniting science and technology to combat diseases. Their expansion in Cambridge is focused on developing advanced methods for mRNA-based vaccines. The company prioritizes impactful R&D, aiming to transform vaccine development and disease prevention.

In this role you can expect to have the responsibilities:

• Develop predictive pipelines with diverse datasets such as genomic and epidemiological data.
• Create computational tools for identifying vaccine candidates.
• Apply machine learning for protein prediction and hypothesis generation.
• Integrate datasets from various sources to enhance computational projects.
• Prepare and publish scientific papers and reports.
• Drive innovation within R&D and stay current with field developments.

This role comes with the following benefits:

• Comprehensive benefits program.

This role requires you to have:

• PhD or MS in Bioinformatics, Computational Biology, or related fields with relevant experience.
• Experience in algorithm development, machine learning, and data modeling.
• Proficiency in programming languages such as Python, R, or C/C++.
• Skilled in using machine learning and data analysis tools like TensorFlow, Pytorch.

You would benefit from having:

• Healthcare industry experience.
• Strong problem-solving and communication skills.
• Experience with deep learning techniques.
• Proven track record in solving real-world problems using computational methods.

GSK is an Equal Opportunity Employer committed to diversity and adheres to Affirmative Action principles. They ensure equal consideration for employment without discrimination. Agencies must have prior written authorization before referring candidates.