Senior Data Scientist
About Us
Oxford Nanopore has developed a new generation of nanopore-based sensing technology for faster, information-rich, accessible and affordable molecular analysis. The technology is used to understand and characterise the biology of humans, animals, plants, bacteria, viruses, and diseases such as cancer. By enabling biological insights, we strive to improve life on Earth and beyond.
Role Overview
We are looking for a Senior Data Scientist to deliver high-impact analytical work across Oxford Nanopore. Working closely with stakeholders across multiple business functions, you will understand and define business requirements, identify where data and analytics can have the greatest impact, and translate these into prioritised analytical initiatives. You will own the planning and delivery of analytics work end-to-end, ensuring solutions address the underlying business need and deliver measurable value.
Key Responsibilities:
- Partner with stakeholders across multiple business units to understand business challenges, opportunities and decision-making needs, translating these into clearly defined analytical requirements and measurable outcomes.
- Own the planning and end-to-end delivery of analytics and data science initiatives, from initial discovery and requirements definition through analysis, implementation and impact assessment.
- Assess the potential business impact, value and urgency of analytical opportunities and use this to prioritise work effectively across competing requirements.
- Manage analytical initiatives spanning multiple business units, aligning stakeholders around scope, priorities, dependencies, timelines and expected outcomes.
- Develop robust analyses and data science solutions using Python, SQL, statistical methods and other appropriate analytical techniques.
- Select analytical approaches appropriate to the business problem, balancing sophistication, available data, delivery effort and expected value.
- Translate complex analysis into clear insights, recommendations and actions for technical and non-technical stakeholders.
- Define measures of success and evaluate the impact of delivered analytics, using evidence to understand whether solutions have achieved the intended business outcomes and to inform future priorities.
- Proactively identify opportunities where data and analytics can improve business performance, operational efficiency and decision-making.
- Work closely with Data Engineering and other technical teams to ensure analytical solutions are supported by reliable, scalable data and infrastructure.
Contribute to analytical standards, reusable approaches and best practices across the wider data organisation.
Qualifications/Experience:
- Strong experience delivering analytics or data science work that addresses complex, real-world business problems.
- Demonstrable experience working directly with stakeholders to understand requirements, challenge assumptions and translate ambiguous business problems into clearly defined analytical work.
- Experience owning analytical initiatives from problem definition through delivery, implementation and assessment of impact.
- Experience planning and coordinating analytical work involving multiple stakeholders, teams or business functions.
- Strong judgement in assessing potential business value and prioritising competing analytical opportunities.
- Strong Python and SQL skills, with experience analysing and interpreting complex datasets.
- Strong statistical and analytical reasoning, with the ability to select appropriate techniques based on the problem being solved.
- Ability to communicate complex analysis clearly and translate findings into actionable recommendations for non-technical audiences.
- Experience applying techniques such as statistical modelling, forecasting, experimentation, optimisation or machine learning would be advantageous.
- Experience with data visualisation and BI tools such as Tableau, PowerBI, or Spotfire would be beneficial.
- Experience working with Data Engineering teams, modern data platforms or delivering analytical solutions into operational environments would be advantageous.
Degree-level education in a numerate, scientific, technical or analytical discipline, or equivalent relevant experience.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
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About Us
Oxford Nanopore Technologies: Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins. The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments. With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.
Skills Required
- Strong experience delivering analytics or data science work addressing complex, real-world business problems
- Experience working directly with stakeholders to understand requirements, challenge assumptions, and define analytical work
- Experience owning analytical initiatives from problem definition through delivery, implementation, and impact assessment
- Experience planning and coordinating analytical work involving multiple stakeholders, teams, or business functions
- Strong judgment in assessing business value and prioritizing competing analytical opportunities
- Strong Python and SQL skills with experience analyzing and interpreting complex datasets
- Strong statistical and analytical reasoning, including selecting appropriate techniques for the problem
- Ability to communicate complex analysis clearly and provide actionable recommendations to non-technical audiences
- Experience applying statistical modeling, forecasting, experimentation, optimization, or machine learning
- Experience with data visualization and BI tools such as Tableau, Power BI, or Spotfire
- Experience working with Data Engineering teams, modern data platforms, or operational analytical solutions
- Degree-level education in a numerate, scientific, technical, or analytical discipline, or equivalent relevant experience
Oxford Nanopore Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oxford Nanopore Technologies and has not been reviewed or approved by Oxford Nanopore Technologies.
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Fair & Transparent Compensation — Pay is considered good to above average across many roles, with employer-provided ranges visible for several U.S. commercial and applications positions and company materials emphasizing market‑competitive base pay. Commercial and some senior technical posts, particularly in the U.S., are positioned as competitive and often paired with strong variable components.
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Equity Value & Accessibility — All‑employee share plans in the UK and a U.S. employee stock purchase plan indicate broad access to equity as part of total reward. Company communications highlight attractive bonus and share plans that add meaningful upside beyond base pay.
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Healthcare Strength — U.S. roles indicate strong health insurance and core protections, while official materials and country overviews reference private medical coverage and wellbeing support. These elements position the health package as a notable strength alongside cash compensation.
Oxford Nanopore Technologies Insights
What We Do
Our goal is to enable the analysis of anything, anywhere, by anyone. We have developed the world’s first and only nanopore DNA and RNA sequencing platform. It’s a new generation of sequencing technology — the only one to offer: scalability to portable or ultra-high throughput formats, real-time data delivery, and the ability to elucidate rich biological data. We are aiming to disrupt the way that biological analyses are currently performed, and open up new applications that have a profound, positive impact on society. Our devices offer real-time analysis, for rapid insights, in fully scalable formats — from pocket to population scale — and the technology is being used in more than 100 countries worldwide. Founded in 2005 as a spin-out from the University of Oxford, the company now employs more than 600 people from multiple disciplines including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies to the market.
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