Research Data Science, Future Leaders Graduate Program, US, 2024

Key Skills

Data Analysis, Data science techniques, Design, Machine learning techniques, Numerical Computing, NumPy, Pandas, Python Programming, Scikit-learn, SciPy, Statistics

Job Description

Education required: Bachelor’s or Masters in Computer Science, Mathematics, or any Scientific or Engineering discipline with a strong numerical component. Graduation by Spring/Summer 2024. 

Language requirement: Written and spoken fluency in English 

Other requirements: Willingness to be geographically mobile (domestic) throughout rotations. 

Expected Start date: September 2024 

*You can apply to only one Future Leaders Graduate Program in the U.S. 

Application deadline: We recommend you apply as soon as possible. We will close this vacancy when we have enough applications, so please apply as soon as you can so your application can be considered.

Assessment Center Date: November/December 2023 

Are you looking for a career where you can help positively impact the health of billions of people? Apply for the Research Data Science Future Leaders Graduate Program at GSK today! 

Are you ready to use data to deliver results that amplify our science?

If so, bring that enthusiasm here. Together we can generate new insights that increase the probability of successfully creating transformational medicines for patients using advanced analytics, data science and machine learning. 

Ahead together with tailored training and career development

In Medicine Design and Biopharmaceutical Development, we design and deliver novel small and large therapeutic molecules for the next generation of transformational medicines. We will be hiring into multiple roles across Medicine Discovery and Biopharmaceutical Development. 

If you’re a graduate with the desire to create data solutions for the design and delivery of medicines that revolutionize treatment for patients, these roles are for you. 

Discovery roles will give you opportunities to work with scientific teams operating advanced antibody and protein engineering platforms and performing high-throughput pharmacological and biophysical screens. You will be leveraging state-of-the art structural biology as well as working with computational modelling experts, data scientists and data engineers to design and deliver data pipelines and platforms that increase the probability of successful discovery of novel transformational medicines. 

In the development roles, you will work with groups responsible for de-risking and accelerating biopharmaceutical assets into clinical manufacture and onward late-stage development. Using data generated from state-of-the-art scale-down, high-throughput process and analytical technology you will deliver deeper understanding of cell line and molecule quality in our process design space, enabling the smarter identification of commercial cell lines and developability de-risking of transformational biopharmaceutical molecules. 

On completion, you will have had the opportunity to develop key skills in data science along with experience working closely with research and development scientists to succeed as a Data Scientist in Medicine Design or Biopharmaceutical Development. 

What will you do?

• Interact with scientific business partners to develop testable hypotheses and deliver data analysis that enables decision making at pace in medicine design and development 
• Influence scientific business decisions using data to answer specific questions
• Collaborate with business and tech partners to evaluate and implement new data solutions

• Develop skills to perform analysis on multiparametric datasets to progress medicine design and development while gaining hands on experience using state-of-the art platforms and capabilities 

What are we looking for?

• Passion for getting ahead of disease 
• A ‘disruptive’ mindset, proposing innovative approaches to challenging scientific problems
• Experience using numerical/computational methods for quantitative data analysis grounded in statistics, linear algebra and calculus. 
• Proficiency in Python and familiarity with key elements of the Python data science stack such as: pandas, NumPy, SciPy, scikit-learn, etc. 
• An understanding of how to incorporate scientific principles into data analysis based on basic understanding of experimental acquisition and integration of multiple data sources. 
• A proactive, self-motivated and flexible approach with a talent for multitasking and adapting to change
• A gift for building strong relationships with key stakeholders 

What do we offer you?

• A competitive salary 
• An annual bonus based on company performance
• GSK 401(k) plan and time off with pay 
• Employee recognition programs, which reward exceptional achievements 
• Access to healthcare and well-being programs 
• A tailored, robust development plan aligned to your career aspirations and business needs, delivered by coaching and mentoring by managers and peers, and through virtual and in person courses
• On-the-job experience
• Up to 2 volunteering days per year, called “Together Days”
• Relocation Allowance (eligibility will be confirmed once your first location is confirmed)

Let’s do this! 

You’ll find hints, tips and guidance on our recruitment process on our website 

Learn more about the application process | GSK 

Once you've submitted your online application form, you'll need to complete two online assessments prior to the assessment center stage and as part of this, you'll be asked about your motivation for the role: - We’d like to hear about why you applied to this role and your motivation for the business area you’ve applied to. You will be asked a 2nd question on what strengths, skills or interests you have that will enable you to be successful in this role. Please be as targeted as you can!

Top tip #1: Make sure you save this job description for reference throughout the process, it will really help you prepare for the different stages in your application. 

Top tip #2: Don't forget to register on our GSK insight & engagement platform https://gsk.connectr.co.uk/getahead/ to learn more about working at GSK, our culture and application processes.