At a Glance
- Tasks: Lead a dynamic data science team to deliver impactful solutions in protein and chemical biology.
- Company: Join GSK, a global biopharma leader dedicated to improving health worldwide.
- Benefits: Enjoy competitive salary, bonuses, healthcare, and flexible hybrid working options.
- Other info: Be part of a culture that values diversity, inclusion, and continuous improvement.
- Why this job: Make a real difference in healthcare while growing your skills in a collaborative environment.
- Qualifications: PhD or extensive experience in pharma/biotech with strong programming and data analysis skills.
The predicted salary is between 80000 - 100000 £ per year.
Data & Predictive Sciences will only be successful by working in close collaboration with Research Tech, Therapeutic Areas, Scientific Digital & Tech, Onyx Research Data Platform, AIML, Risk & Compliance, and across lines within the function itself. Success will require developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on realizing value through end-user uptake and measurable impact. If this sounds like a culture you will thrive in, please apply.
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
In this role you will:
- Deliver data solutions with measurable cross-organizational impact and value, leveraging existing or planned infrastructure from partner functions in Scientific Digital & Tech and GSK’s Onyx Research Data Platform.
- Enable facile data collation, preparation, and storage, perform exploratory data analysis to identify trends, patterns, and anomalies in the data and communicate findings.
- Lead a team of data science professionals and be responsible for skills and capability development, career development and driving performance within the team.
- Build awareness of and contribute to the overall Data & Predictive Sciences goals and objectives via implementation of relevant components of those objectives.
- Collaborate with research scientists and stakeholders to understand data needs and deliver appropriate solutions.
- Work with your director to prioritize your book of work.
- Work with other data scientists to build an understanding of the business context, systems, environment, strategy and people aligned to this area.
- This includes an understanding of the relevant internal and external high-volume data sources, validity and domains of such data aligned with business objectives.
- Contribute strategic thought partnership and execute relevant components of an organizational strategy.
- Work across Data Sciences teams to contribute to peer review, quality, consistency, enterprise thinking, and flexibly resource projects to foster skills development and best alignment of skills to projects.
- Seek and respond to peer feedback to grow your skills and impact.
Basic Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
- Pharma/biotech experience with a PhD or extensive pharma/biotech experience with a Masters in a relevant scientific domain with a significant data sciences component.
- Proficiency in one or more programming languages: e.g. Python (preferred), R, Java, Javascript, including toolchains for documentation, testing and operations.
- Experience working as both a Team Lead and a Team Member with a demonstrated passion for driving performance, skills, capability, and career development to grow and improve impact of the team.
- Knowledge and experience of data analysis in scientific areas aligned to Protein Cellular & Structural Science and Chemical Biology such as bioinformatics, structural biology, biophysics, statistics, image analysis, protein and small molecule structure.
- Experience assembling (preparing raw data for analysis), analysing, and visualising complex scientific data including use of databases, data warehousing, data pipelines, big data technologies and working with large scale biology, chemical or structural data.
- Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change.
Preferred Qualifications & Skills:
Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:
- Cloud experience (e.g. Google Cloud, AWS, Azure, Kubernetes) and/or HPC experience.
- Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics / monitoring).
- Software Engineering experience demonstrated in a corporate setting, via open-source software contribution, or public library (Python, R, etc) development.
- Knowledge of modern data engineering tools (e.g. airflow, kafka, spark).
- Experience with Nextflow.
- Familiarity and/or experience with concepts related to Data Fabric, Data Mesh, and Data-as-an-Asset.
- Strong knowledge of statistical analysis, machine learning, and data manipulation libraries (e.g. pandas, scikit-learn, PyTorch would be advantageous).
- Track record of change leadership and driving lasting adoption by enhancing data science skills (e.g. statistics and design of experiments, data analysis and visualisation, digital safety etc) in an organization.
Closing Date for Applications – 18 March 2024 (COB)
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
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. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy.
We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391.
Lead Data Science Team - Protein & Chemical Biology in Stevenage employer: GlaxoSmithKline
GSK is an exceptional employer that fosters a high-performing team culture centred on collaboration, curiosity, and continuous improvement. With a commitment to employee growth, we offer competitive salaries, comprehensive healthcare programmes, and a hybrid working model that empowers you to balance remote and in-office work. Join us in making a meaningful impact on global health while thriving in an inclusive environment where everyone feels valued and can reach their full potential.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Science Team - Protein & Chemical Biology in Stevenage
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at GSK or similar companies. A friendly chat can open doors and give you insights that might just help you land that interview.
✨Tip Number 2
Prepare for the interview by diving deep into GSK's culture and values. Show us how your experience aligns with our focus on collaboration, curiosity, and continuous improvement. We love candidates who can demonstrate they fit right in!
✨Tip Number 3
Practice makes perfect! Get a friend or mentor to do mock interviews with you. This will help you articulate your thoughts clearly and confidently, making a great impression when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you can showcase your enthusiasm for the role and the company right from the start.
We think you need these skills to ace Lead Data Science Team - Protein & Chemical Biology in Stevenage
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight the skills and experiences that align with the job description. We want to see how your background fits into our collaborative culture and the specific requirements of the Lead Data Science Team role.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how you meet the competencies outlined in the job description. We love seeing your passion for data science and how you can contribute to our high-performing team culture.
Showcase Your Team Leadership Skills:Since this role involves leading a team, be sure to highlight your experience in driving performance and developing team members. We’re looking for someone who can foster collaboration and continuous improvement, so share examples of how you've done this in the past.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we want to make sure you have access to all the information about life at GSK and our amazing benefits.
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially in areas like bioinformatics and statistical analysis. Be ready to discuss your experience with programming languages like Python or R, and how you've used them to solve real-world problems.
✨Show Your Leadership Skills
As a Lead Data Science Team candidate, you'll need to demonstrate your ability to lead and develop a high-performing team. Prepare examples of how you've driven performance and fostered collaboration in previous roles. Highlight any mentoring or coaching experiences you've had.
✨Understand the Business Context
Familiarise yourself with GSK's goals and how the Data & Predictive Sciences function fits into the bigger picture. Be prepared to discuss how your work can contribute to measurable impact and value across the organisation.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions that show your curiosity about the role and the company culture. Ask about the team's current projects, challenges they face, and how they measure success. This will demonstrate your genuine interest in the position.
