At a Glance
- Tasks: Deliver impactful data solutions and collaborate with scientists on innovative projects.
- Company: Join GSK, a global biopharma leader dedicated to improving health.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace culture with a focus on diversity and belonging.
- Why this job: Make a real difference in healthcare by leveraging data science.
- Qualifications: PhD or equivalent experience in data science; programming skills required.
The predicted salary is between 55000 - 65000 £ per year.
In this role you will deliver data solutions with measurable cross-organizational impact and value, including but not limited to: code libraries, analytical pipelines, data processing pipelines, visualizations, front-end tools, etc.
Design and build solutions that leverage existing or planned cloud 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.
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 Team Leader 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.
Basic Qualifications & Skills:
- PhD or equivalent professional 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.
- Scientific knowledge and/or acumen to understand GSK’s research data, including knowledge of genetics, omics, chemistry, biology or related scientific disciplines.
- Experience assembling (preparing raw data for analysis), analysing, and visualizing complex scientific data.
- Demonstrated ability to work in a team across scientific and technical disciplines to deliver impactful solutions, build trusting relationships, and realize lasting business value in a matrix environment.
Preferred Qualifications & Skills:
- Knowledge and experience of data analysis in scientific areas aligned to Target Discovery and Human Genetics & Genomics such as bioinformatics, cheminformatics, omics, statistics, image analysis, protein and small molecule structure.
- Cloud experience (e.g. Google Cloud, AWS, Azure, Kubernetes).
- Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics / monitoring).
- Experience with Nextflow.
- Experience of open-source software contribution or public library (Python, R, etc) development.
- 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).
- Experience with databases, data warehousing, building data pipelines, big data technologies and working with large scale biology, chemical or structural data.
Closing Date for Applications – 18th 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.
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.
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.
Data Science Investigator: Target Discovery & Genomics in Stevenage employer: GlaxoSmithKline
GSK is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to thrive while making a meaningful impact on global health. With a commitment to professional growth, GSK offers diverse opportunities for development in the field of data science, particularly within the vibrant scientific community of genomics and target discovery. Located in a dynamic environment, employees benefit from cutting-edge cloud infrastructure and a strong emphasis on innovation, ensuring that their contributions lead to significant advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Investigator: Target Discovery & Genomics in Stevenage
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work at GSK or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data analysis, visualisation, or cloud solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding GSK’s mission. Be ready to discuss how your experience aligns with their goals in data science and genomics. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the GSK team. Let’s get you that dream job!
We think you need these skills to ace Data Science Investigator: Target Discovery & Genomics in Stevenage
Some tips for your application 🫡
Tailor Your Cover Letter:Make sure to customise your cover letter for this role. Highlight how your skills and experiences align with the job description, especially in data science and genomics. We want to see your passion and how you can contribute to our goals!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or R. Include any relevant projects or experiences that demonstrate your ability to build analytical pipelines or visualisations. This is your chance to shine!
Highlight Collaborative Experiences:Since collaboration is key in this role, share examples of how you've worked with teams in the past. Whether it’s with research scientists or other data professionals, we want to know how you’ve contributed to impactful solutions.
Apply Through Our Website:Remember to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity. Don’t miss out on being part of our mission!
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 Python, R, and any relevant scientific domains. Be ready to discuss your experience with data analysis, visualisation, and the tools you've used. This will show that you can hit the ground running!
✨Understand GSK's Mission
Familiarise yourself with GSK’s goals and how they align with your role as a Data Science Investigator. Knowing their mission to impact health positively will help you articulate how your skills can contribute to their objectives during the interview.
✨Prepare for Collaboration Questions
Since this role involves working closely with research scientists and stakeholders, be prepared to share examples of past collaborations. Think about how you’ve built relationships and delivered solutions in a team setting, as this will demonstrate your ability to work in a matrix environment.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in data processing or analysis and how you overcame them. Highlighting your problem-solving approach will illustrate your analytical mindset and ability to deliver impactful solutions.
