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 health by leveraging cutting-edge data science.
- Qualifications: PhD or equivalent experience in data sciences; 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.
Investigator Data Sciences -Target Discovery and Human Genetics & Genomics in Stevenage employer: GlaxoSmithKline
GSK is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are empowered to thrive and contribute to meaningful advancements in health. With a commitment to professional growth, GSK offers extensive opportunities for development in data sciences, particularly in the vibrant setting of its research facilities, enabling you to make a significant impact on global health outcomes while working alongside leading experts in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Investigator Data Sciences -Target Discovery and Human Genetics & Genomics in Stevenage
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at GSK. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or a portfolio that highlights your data science prowess, share it during interviews. It’s a great way to demonstrate your capabilities beyond the CV.
✨Tip Number 3
Prepare for the unexpected! Brush up on your problem-solving skills and be ready for technical questions or case studies. GSK loves candidates who can think on their feet and tackle real-world challenges.
✨Tip Number 4
Don’t forget to follow up! After an interview, drop a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds. Plus, it’s just good manners!
We think you need these skills to ace Investigator Data Sciences -Target Discovery and Human Genetics & Genomics in Stevenage
Some tips for your application 🫡
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the job description. Use keywords from the posting to show that you understand what we're looking for.
Showcase Your Technical Skills:Since this role is all about data sciences, don’t forget to emphasise your proficiency in programming languages like Python or R. Mention any relevant projects or tools you've used that demonstrate your capabilities.
Communicate Your Collaborative Spirit:We value teamwork, so share examples of how you've worked with others in scientific or technical settings. Highlight any successful collaborations that led to impactful solutions.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you into the process smoothly!
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Data Inside Out
Before the interview, dive deep into the data sciences field, especially in genetics and genomics. Familiarise yourself with relevant datasets and tools that GSK uses. This will not only help you answer technical questions but also show your genuine interest in the role.
✨Showcase Your Programming Skills
Be prepared to discuss your proficiency in programming languages like Python or R. Bring examples of code you've written or projects you've completed that demonstrate your ability to build analytical pipelines or visualisations. This practical evidence can set you apart from other candidates.
✨Collaborate and Communicate
Highlight your experience working in teams, especially across scientific and technical disciplines. Be ready to share specific examples of how you've collaborated with others to deliver impactful solutions. Communication is key, so practice articulating your thoughts clearly and confidently.
✨Understand the Business Context
Research GSK’s mission and values, and think about how your skills align with their goals. Be prepared to discuss how your work can contribute to their objectives in data and predictive sciences. Showing that you understand the bigger picture can impress your interviewers.
