Assessment centre dates: 17th December 2019
Education required: BSc (2:2 or better) in Maths, Statistics, Computer science or a Biology related degree.
Key responsibilities and deliverables will be:
- Focus will be on further developing digital data analytics capability, in particular the analysis of a wide range of internally and externally generated genomics data to support drug discovery with a focus on drug target identification and validation, a foundational step in the pharmaceutical industry.
- Use of a wide range of analytical techniques applicable to genomics data (e.g. NGS -Next Generation Sequencing- analyses, biological network analyses, integrative -e.g. multi-omics- analyses). This will also include advanced techniques based on AI and machine learning approaches to analyse large and multidimensional data sets.
What will you do?
Primarily the role will consist of:
- Analysing biomedical data with a focus on genomics data to support drug discovery with a focus on target identification and validation in immunology and oncology
- Use a range of bioinformatics and data analytical techniques including advanced methodologies based in machine learning/deep learning
- Use and implement good data management techniques, including curation, to prepare the data for analysis and long-term availability.
- Development of appropriate statistical and quantitative principles in the analyses.
- Masters Apprentice will work in teams of Computational Biologists, Data scientists, IT specialists and Biologists with a focus in immunology and oncology in line with R&D strategy.
- Development of excellent communication skills (e.g. presenting results to diverse audiences including senior scientists)
A day in the life of a Masters Apprentice:
- You will work with biologists, genomic scientists, geneticists and other data scientists to help design, execute and analyse genomic experiments.
- This role is office based (not Lab based) and you will be flexibly studying for a Masters with a preferred provider while working and gaining experience
- The role will be based at our R&D hub in Stevenage, Hertfordshire
Our ideal candidate will have:
- Good level in maths and quantitative techniques and interest to apply in a biological context.
- Demonstrated ability to program (e.g. Python, C, Java)
- General basic knowledge of biologyy.
- Interest in genomics and its applications to drug discovery would be a plus.
- Ability to work in teams, achieve defined goals and implement agreed plans and communicate effectively results to non-experts
- An innovative mind, the ability to solve problems and ability to adapt to change
- Good interpersonal and communication skills, both written and oral
Qualifications and experience requirements
A Bachelors or higher in mathematics, statistics, computer science, data science or related discipline
Additional job details
- Competitive salary
How to apply
Application deadline: We recommend you apply as soon as possible, because we accept ongoing applications and will close this vacancy once we have enough applications.
Other requirements: Must be eligible to work in the UK at the time of, and for the duration of employment.
You’ll be asked for your personal information and why you want to work for us. We recommend you apply as soon as possible, because we accept ongoing applications and offer positions on a first come, first served basis.
We’re 100% open to all talent – whatever your gender, marital status, religion, age, colour, race, sexual orientation, nationality or disability. We want to recruit the right people for GSK from the widest possible backgrounds, so we can better serve the diversity of our patients and consumers. And also because it’s the right thing to do. #ReasearchandDevelopmentFLP
Click Apply to start your application now. This job will be available on Prospects until 28 September 2020
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Closing date: Continuous recruitment