Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to analyse data and improve manufacturing processes using Python.
- Company: Oxford Nanopore Technologies is a leader in innovative DNA/RNA sequencing technology.
- Benefits: Enjoy competitive salary, bonuses, private healthcare, and generous pension contributions.
- Why this job: Make a real impact on science and society while working in a dynamic environment.
- Qualifications: A numerate degree and strong Python programming skills are essential.
- Other info: Ideal for those eager to tackle challenges and grow in a fast-paced setting.
The predicted salary is between 32000 - 42000 ÂŁ per year.
Job Description
Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and a commercial presence in many global locations across the US, APAC and Europe. The company employs professionals from multiple subject areas including nanopore science, molecular biology, informatics, engineering, electronics, manufacturing, and commercialization. Led by CEO Dr. Gordon Sanghera, the management team has a track record of delivering disruptive technologies to the market.
Our sequencing platform is the only technology that offers real‑time analysis in fully scalable formats, from pocket to population scale, capable of analysing native DNA or RNA and sequencing any fragment length to achieve short to ultra‑long read lengths. Our goal is to enable the analysis of any living thing, by anyone, anywhere.
The Details
We are looking for a highly motivated individual to join the Technical Operations team as a Data Analyst (Programmer). The primary role is to extend our warehouse of data that underpins our work to support Manufacturing Operations, including new data sources. The role involves monitoring the performance of the flow‑cell manufacturing process in response to procedural changes, material inputs, or unforeseen events. It requires analysing telemetry data and manufacturing documentation to identify associations between performance and manufacturing conditions, and to provide insights that inform decisions on how to improve performance.
The role will strengthen Technical Operations’ analysis capability by:
- Providing more comprehensive coverage of data representing individual stages of flow cell manufacture
- Developing analysis procedures to assess, in the context of flow cell manufacture, the utility of existing and new data
Responsibilities also include developing extract‑transform‑load processes and building pipelines that connect source databases to dashboards of results, using bespoke Python tools to efficiently process, summarise and classify large volumes of data.
What We\’re Looking For
The ideal candidate will possess a numerate degree (e.g., Mathematics, Statistics, Physics, or Computer Science). Applicants should be highly motivated, adaptable, and able to thrive in a fast‑paced environment.
You Will Also Be
- Strong Python programmer with detailed knowledge of manipulating data in Pandas
- Good understanding of statistical concepts and principles
- Proven ability to interpret data and understand underlying definitions
- Good data instincts (assess confidence in findings, detect data quality issues, identify inconsistencies, filter out chaff)
- Excellent attention to detail and inquisitive nature
- Able to apply scientific rigour and challenge assumptions
- Good presentation skills and confident communication with multi‑disciplinary teams
Experience in Some of the Following Technologies Is Expected
- MySQL
- MongoDB
- Spotfire / Tableau
- Git
Applicants should be highly motivated individuals who enjoy taking on new challenges, adapt quickly in an exciting and fast‑paced environment, and perform well under pressure. The role requires frequent work at Oxford Nanopore’s offices in Oxford.
Benefits
We offer attractive bonus, generous pension contributions, private healthcare and an excellent starting salary.
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.
About Us
Oxford Nanopore Technologies aims to bring the widest benefits to society by 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. While its first application is DNA/RNA sequencing, the technology is being developed for other molecular types, including proteins. The platform is used to understand and characterise biology across humans, diseases such as cancer, plants, animals, bacteria, viruses, and whole environments. With a culture of ambition and strong innovation goals, Oxford Nanopore is a UK‑headquartered company with global operations and customers in more than 125 countries.
#J-18808-Ljbffr
Tech Ops Data Analyst (Programmer) employer: Oxford Nanopore Technologies
Contact Detail:
Oxford Nanopore Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Ops Data Analyst (Programmer)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python libraries like Pandas and NumPy. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Understand the principles of causal inference and predictive manufacturing, as these are key components of the role. Being able to discuss how you would apply these concepts to real-world data scenarios will demonstrate your readiness for the position.
✨Tip Number 3
Prepare to showcase your analytical skills by discussing past experiences where you've successfully interpreted complex data sets. Be ready to explain your thought process and how you arrived at your conclusions, as this will highlight your problem-solving abilities.
✨Tip Number 4
Network with current or former employees of Oxford Nanopore Technologies on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
We think you need these skills to ace Tech Ops Data Analyst (Programmer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Tech Ops Data Analyst role. Emphasise your programming skills in Python, as well as any experience with data analysis and statistical concepts.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the manufacturing process. Mention specific projects or experiences that demonstrate your ability to analyse data and derive insights.
Showcase Technical Skills: In your application, clearly list your technical skills, especially those mentioned in the job description such as Python (Pandas, NumPy), MySQL, and data visualisation tools like Tableau or Spotfire. Provide examples of how you've used these skills in past roles.
Highlight Problem-Solving Abilities: Demonstrate your analytical thinking and problem-solving skills in your application. Discuss instances where you identified data quality issues or improved processes through data analysis, showcasing your attention to detail and scientific rigour.
How to prepare for a job interview at Oxford Nanopore Technologies
✨Showcase Your Python Skills
As a Tech Ops Data Analyst, you'll be expected to have strong programming skills in Python. Be prepared to discuss your experience with libraries like Pandas, NumPy, and Matplotlib. Consider bringing examples of projects where you've used these tools to solve data-related problems.
✨Understand the Science Behind the Product
Familiarise yourself with the basics of nanopore technology and its applications in DNA/RNA sequencing. This knowledge will help you articulate how your data analysis can contribute to improving manufacturing processes and product performance.
✨Demonstrate Your Analytical Thinking
Prepare to discuss how you approach data analysis, including your methods for identifying trends and causal relationships. Highlight any experience you have with statistical concepts and how you've applied them in previous roles or projects.
✨Communicate Effectively with Multi-Disciplinary Teams
Since the role involves interacting with various teams, practice explaining complex data insights in simple terms. Be ready to share examples of how you've successfully collaborated with others to achieve common goals.
