On behalf of our client, a world-leading R&D company with state-of-the art facilities and great benefits, we are looking to recruit an experienced Computational Biologist with multi-omics experience, to be part of a bioscience and biology digital team.
You would be exploring new ways of deriving knowledge from experimental endpoints and digital phenotypes, integrating multiple data into 'multi-omic' decision-making tools.
This role would suit a person with great leadership capabilities and an agricultural background, who understands genomics and the challenges around generation of biological material for studies.
Remote working is possible, with the requirement to work on site three to four days per week.
- MSc/PhD (or equivalent experience) in natural sciences with focus on analysis of data and data integration, data science and/or machine learning.
- Postdoctoral experience in life science research/experience in R&D environment is desirable
- Thorough understanding and hands-on experience in bioinformatics and the integration and analysis of 'omics data (transcriptomic, proteomic, metabolomic) and data visualisation tools, such as Panhunter, IPA, Knime, SIMCA, R, Spotfire etc.
- Good understanding of experimentally-derived biological data, data types and appropriate analytical methods, including multivariate statistics
- Enthusiasm for visual analytics and data science
- Dynamic personality with passion for innovation and problem-solving
- Ability to work in multi-functional teams
- Familiarity with relational and non-relational data systems and understanding of good data management practices for scientific data
- Proficiency in both written and verbal communication skills
- Ability to manage and contribute to projects autonomously
- Experience with version control systems, notebooks and creating reproducible digital workflows
- Learn and understand the biology and bioscience data landscape, key data attributes and experimental capabilities, to identify opportunities for enabling and enhancing science through the deployment of multi-omic approaches
- Contribute to experimental design, assess the quality of data generated, develop and apply analysis tools and teach individual scientists how to use them
- Research and apply state-of-the-art computational approaches to address crop protection challenges
- Evaluate new data analysis tools-validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences
- Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses
- Work collaboratively as part of the Bioscience and BiologyDigital teams and the wider data community to deliver and deploy new approaches, share learning, and drive innovation in digital and data science including technology foresight
Agenda and its clients only recruit people who are passionate about animal care and welfare, people with integrity who are honest and trustworthy and who have a great work ethic. To enable us to hire the very best people we will conduct a full and comprehensive background and pre-employment screening as an essential part of the recruitment process.