L7 Bioinformatics Scientist Masters Training Programme
This apprenticeship programme offers graduates the opportunity to undertake a sponsored Masters degree whilst simultaneously gaining valuable experience in a leading global healthcare company.
Computational Biology supports drug discovery and development through the integrative analysis of internal and/or external biomedical data. Our analysis competencies and machine learning techniques are very diverse and contribute to multiple phases of the drug development pipeline. Our work has a resulting impact on new medicines for important diseases and unmet medical needs.
What will my key responsibilities be?
- Your 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 focusing 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. Diverse NGS -Next Generation Sequencing- analyses, biological network analyses, graph analyses, integrative -e.g. multi-omics- analyses). This will also include advanced techniques based on machine learning approaches to analyse large and multidimensional data sets.
What will the role consist of?
- Analysing biomedical data to support drug discovery, focusing on target identification and validation in immunology and oncology.
- Using a range of bioinformatics and data analytical techniques, including advanced methodologies based in machine learning/deep learning.
- Using and implementing 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 Apprentices will work in teams of Computational Biologists, Data scientists, IT specialists and Biologists.
- Development of excellent communication skills (e.g. presenting results to diverse audiences including senior scientists).
- 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.
- You will work with a team of chemists, analytical scientists and biologists to discover new drug molecules and understand how they influence their targets.
- The role will be based at our R&D hub in Stevenage, Hertfordshire.
Do I have the skills?
An ideal candidate will have:
- BSc in Biology related degree, Maths, Stats or Computer science.
- 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 biology.
- Interest in genomics and its applications to drug discovery.
- 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.
When can I apply?
Applications closed for 2020.