About PrecisionLife
PrecisionLife is helping transform the delivery of healthcare by building the next generation of drug discovery, drug repurposing and precision medicine solutions to improve patient outcomes and reduce the cost of delivering effective care. We’re a small but rapidly growing company with global ambition and partnerships with some of the largest international healthcare companies and research institutes worldwide.
We’re headquartered near Oxford, UK, with new offices in Copenhagen, Warsaw and Boston, MA, and were founded by a diverse team of highly experienced life science, healthcare, AI and computer science leaders.
The role
We have a fantastic opportunity for a Data Scientist to join our Data Science team. We are looking for someone who is comfortable working as a quantitative researcher identifying novel correlations within large and complex life science and healthcare datasets. The ideal candidate will have a keen interest in creating insight and value from complex data, and a passion for identifying and answering questions that help us solve real-world problems and build the best products.
Responsibilities
- Working on core analytical platforms, improving performance and pushing edge-case boundaries
- Developing new computational tools and algorithms for diverse datasets in complex disease analysis
- Delving into new and existing sets to explain and explore data composition, structure and sparsity
- Driving the collection, cleaning and verification of new data and the refinement of existing data sources
- Collaborating to design and develop new tools and products to put powerful decision support interfaces in the hands of end-users
- Analyzing, interpreting and communicating the results of product experiments
- Working closely with bioinformaticians, product designers and engineers to identify and answer important product questions
Key Requirements:
- MS. or Ph.D. in a relevant technical field, or 4+ years’ experience in a relevant role
- Experience with developing (in addition to applying) computational tools and algorithms in the fields of bioinformatics, healthcare or other related field
- Experience with Python (including numpy, sklearn), R and visualization techniques
- Knowledge of statistics (ideally bio-statistics), data clustering techniques and graph analysis
- Ability to solve analytical problems using quantitative approaches
Nice to have:
- Familiarity with relational databases & SQL and/or non-SQL systems such as MongoDB/OrientDB/Redis/Aerospike would be a strong advantage
- Experience working with large data sets and systems such as AWS Cloud would be a plus
- Experience with Natural Language Processing would be a plus
- Knowledge of bioinformatics and chemoinformatics resources and techniques
Key Attributes:
- Excellent communication and presentation skills including in English (min. of equivalent of CEFR level C1)
- A strong passion for empirical research and for answering hard questions with data
- A willingness to dive deep, experiment rapidly and get things done
- Confidence to make suggestions and influence change
- Ability to work well to deadlines, while paying attention to detail and accuracy
- Flexible approach to working in teams or in self-driven projects
- Ability to work with care and discretion in regulated data-environments
- A high degree of pragmatism in building the simplest thing that does the job; we want to use technology to solve real-world problems expediently
What We Offer:
- Competitive salary with performance related bonuses
- Stock Options (subject to qualifying)
- Company pension scheme
- Life Assurance/Death in Service Insurance
- Private Healthcare Scheme (subject to qualifying)
- Flexible-Hybrid working pattern model to allow for flexibly between remote and office working
- 25 days annual leave (pro rata) (increasing to equivalent of 28 days hols/annum on completion 3 years of service)
- Access to substantial number of courses and training events
- Excellent career development opportunities in a fast-growing international organisation
We follow the HMG’s right to work employment checks and you will therefore need to satisfy basic eligibility criteria/certain conditions of employment (e.g. nationality rules/right to work); and provide appropriate original documentation to verify ID, nationality, employment and/or academic history.
PrecisionLife is an ISO27001 and ISO27701 accredited business, fully committed to equal opportunities and operating a carbon neutral business.
Here’s a link to our privacy policy.
In this policy, you will find information about our compliance with Data Protection Act 2018/ GDPR. You can find how to send us a request to let you access your data that we have collected, request us to delete your data, correct any inaccuracies or restrict our processing of your data. You have the right to lodge a complaint about the way we handle your data with supervisory authority or you can contact our DPO at GDPR@precisionlife.com for more information or concerns. We process this data for recruitment purposes only. We store all candidate data in secured file with restricted access, and we will not share it with anyone else.
Apply here
To apply please send your CV and a covering letter setting out your suitability and motivations for this role to jobs@precisionlife.com
