Job Description

Job Summary

Join PrecisionLife as a Data Scientist and contribute to groundbreaking work in precision medicine.

We're seeking a quantitative researcher passionate about uncovering novel correlations within complex life science and healthcare datasets. This role offers the opportunity to develop advanced computational tools and algorithms, enhancing our analytical platforms and pushing the boundaries of what's possible in data science.

About PrecisionLife:

PrecisionLife is at the forefront of precision medicine, developing better diagnostic tools and personalized treatment options to predict, treat, and prevent complex, chronic diseases. Our work aims to increase the success rate of drug development and improve health outcomes for billions globally. Headquartered near Oxford, UK, we also have offices in London, Copenhagen, Warsaw, and Cambridge, MA.

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 Supporting drug discovery projects by generation of data-driven insights 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 Analysing, interpreting and communicating the results of product experiments Working closely with bioinformaticians, biologists, product designers and engineers to identify and answer important product questions This job description is not exhaustive and will be subject to periodic review. It may be amended to meet the changing needs of the business.

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 fields Proficiency with Python for data analysis, pipeline development and visualization Familiarity with command-line Linux or Unix environments and version control software Knowledge of statistics (ideally bio-statistics) and data clustering techniques Knowledge of bioinformatics resources and analyses such as functional and pathway analysis Ability to contribute to drug discovery projects through application of quantitative, data science or bioinformatics approaches

Nice to have:

Familiarity with R and/or relational databases and SQL would be a strong advantage Familiarity with workflow management systems (such as Cromwell or Nextflow) and/or containerization (such as Docker) would be a plus Experience working with large data sets, Trusted Research Environments (TREs) and/or cloud computing platforms (AWS or Google Cloud) would be advantageous Familiarity with analysis of genomics, proteomics or transcriptomics data and/or electronic health records Experience with advanced statistical techniques and machine learning algorithms would be a plus

Key Attributes

Excellent communication and presentation skills in English (min. of equivalent of CEFR level C1) Highly driven to conduct data-driven research and derive evidence-based solutions for complex analytical challenges 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 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 Ability to work with care and discretion in regulated data-environments

What We Offer

Stock Options (subject to qualifying) Company pension scheme (subject to qualifying) Life Assurance/Death in Service Insurance (subject to qualifying) 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.

To learn more, visit: https://precisionlife.com/

Here's a link to our privacy policy- https://precisionlife.com/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.

Job Types: Full-time, Permanent

Pay: 58,000.00-65,000.00 per year

Benefits:

Health & wellbeing programme Life insurance Private medical insurance Sick pay
Schedule:

Monday to Friday
Work Location: Hybrid remote in Witney, OX29 8LJ

Application deadline: 26/05/2025
Expected start date: 02/06/2025