Data is at the heart of everything we do, and our Core Analytics team is responsible for the methods we use to harmonize, integrate and map the structure of vast data sets linking genomic variation to information on human biology and disease. We have ambitious plans for our work in Therapeutics and Precision Health, and so we’re looking for a Senior Scientific Developer to help drive the methodological advances that underpin these activities.
You’ll have experience in applied statistical inference, machine learning, or other advanced applications of statistics in data science, most likely gained during a PhD or equivalent research. This will be complemented by your comprehensive experience in scientific programming in either Python or R (ideally both) and data science, as well as your familiarity with current software development tools (version control, collaborative software development) and high-performance compute environments. Being accustomed to developing and maintaining Python and R packages, while not required, would be a definite advantage.
As a key player in our Core Analytics team, you’ll have a proven track record of dealing with large amounts of biomedical data - processing, reformatting, visualsing, applying quality control and generally assessing validity and robustness. You’ll also have the ability to research and understand the experimental techniques and technologies that generate biomedical data to be able to analyse it appropriately. Your experience of genetics and genomic data will include the ability to carry out large-scale statistical analysis of those data.
Working for Chris Spencer - Founder and Director, Core Analytics - and as part of the Core Analytics team, you’ll be responsible for:
- Designing, implementing, and developing computational algorithms to a high standard with respect to robustness, testing, performance, and statistical rigour.
- Analysing data in order to identify the best way to draw inferences and insights from its analysis.
- Undertaking benchmarking assessments of methods and algorithms and making recommendations on how to ensure that data structures, algorithms, and workflows can be optimised.
- Presenting and reporting progress in presentations, writing, and publications, individually and as part of a wider team.
- Collaborating with software developers, and other members of the Core Technology team, to embed analytical technology in development and production environments.
- Helping to maintain an understanding of the state of the art in terms of processing and analysis of data of relevance to Genomics.
- Maintaining a well-documented codebase using internal repositories and standards.
- Maintaining an up-to-date knowledge about good practice in scientific computing.
- Providing mentorship to more junior team members, and to help others to deliver on their goals.
To be successful in this role you’ll already have experience in driving an investigative project through to completion with minimal supervision, and you’ll have the ability to summarise results and findings and to communicate these effectively. You’ll also be comfortable working in diverse teams with differing technical skills and backgrounds.
So, if you’re as passionate about data as us, and you have the innovative and inquisitive mindset required to help us manage and make sense of our data in order to have an impact on people’s lives and health, get in touch; we’d love to hear from you.