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.
Join to apply for the Tech Ops Data Analyst (Programmer) role at Oxford Nanopore Technologies
Continue with Google Continue with Google
Join to apply for the Tech Ops Data Analyst (Programmer) role at Oxford Nanopore Technologies
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.
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.
Oxford Nanopore employs from multiple subject areas 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.
Oxford Nanopore’s sequencing platform is the only technology that offers real-time analysis, in fully scalable formats from pocket to population scale, that can analyse native DNA or RNA and sequence any length of fragment to achieve short to ultra-long read lengths. Our goal is to enable the analysis of any living thing, by anyone, anywhere!
We are looking for a highly motivated individual to join the Technical Operations team as a Data Analyst (Programmer), whose primary role is to extend our warehouse of data that underpins our work to support Manufacturing Operations, to include new sources of data.
The Details…
Part of the Technical Operations team’s work is to monitor the performance of the flow cell manufacturing process in response to changes in the procedures, input materials or unforeseen events. This requires analysing data to identify associations between performance and its manufacture that inform decisions regarding what actions to take to improve performance. Much of this is achieved through the analysis of telemetry – data generated by testing and use of products – alongside data documenting how it has been manufactured. However, there are aspects of the manufacturing process that do not always represent processes sufficiently well to be able to reliably identify likely causes of performance issues.
This exciting and challenging role is responsible for extending the coverage of manufacturing data and analysing it to establish its explanatory power: to understand what aspects, if any, of manufacturing performance are associated with the data. To varying degrees, the role encompasses the entire data pipeline, including developing Extract-Transform-Load processes through to analysing data to establish associative and causal relationships.
Data that represents the quality of individual processes and input materials is a key component of the Predictive Manufacturing initiative which includes assessment and development of Causal Inference statistical techniques. Applicants with experience or interest in this area would have an opportunity to develop further in this discipline as it moves through proof-of-concept and applied stages of development.
The Role Will Strengthen Technical Operations\’ Analysis Capability To
- provide more comprehensive coverage of data representing individual stages of flow cell manufacture
- develop analysis procedures to assess, in the context of flow cell manufacture, the utility of existing and new data
Much of this will be achieved through development of tools in Python that can efficiently process, summarise and classify large volumes of data, creating pipelines that connect source databases to dashboards of results.
You will need to quickly establish a strong understanding of the science behind the product and convert data into insights of those factors associated with product performance and failure types.
What We\’re Looking For…
The ideal candidate will possess a numerate degree; for example in Mathematics, Statistics, Physics or Computer Science.
You Will Also Be
- A strong python programmer
- Have a good understanding of statistical concepts and principles
- Proven ability to interpret data and understand underlying definitions
- Possess good data instincts (assess degree of confidence in findings, detect data quality issues, identify inconsistencies, filter out chaff)
- Possess excellent attention to detail, be inquisitive by nature
- Able to apply scientific rigour and challenge assumptions
- Have good presentation skills and confidently communicate and interact with multi-disciplinary teams.
Experience in some of the following routinely used technologies is expected:
- Python (Pandas, numpy and Matplotlib/Seaborn)
- MySQL
- MongoDB
- Spotfire/ Tableau
- GitLab
Applicants should be highly motivated individuals who enjoy taking on new challenges, are quickly adaptable in an exciting and fast-paced environment, and who perform well under pressure.
We offer outstanding benefits to include an attractive bonus, generous pension contributions, private healthcare and an excellent starting salary.
If you are looking to utilise your skills to really make a difference to humankind, then consider joining our team and apply today!
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: 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.
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
Referrals increase your chances of interviewing at Oxford Nanopore Technologies by 2x
Sign in to set job alerts for “Technical Operations Analyst” roles.
Continue with Google Continue with Google
Continue with Google Continue with Google
Buckinghamshire, England, United Kingdom ÂŁ40,000 – ÂŁ50,000 7 hours ago
Brackley, England, United Kingdom 3 months ago
Order to Cash Business Analyst and Scrum Master
Wantage, England, United Kingdom 19 hours ago
Reading, England, United Kingdom 5 hours ago
High Wycombe, England, United Kingdom 3 hours ago
High Wycombe, England, United Kingdom 1 week ago
Reading, England, United Kingdom 1 week ago
Business Analyst/ Consultant (UK- Based, Remote) (Remote)
High Wycombe, England, United Kingdom 2 months ago
Reading, England, United Kingdom 1 week ago
Brize Norton, England, United Kingdom 3 weeks ago
Wantage, England, United Kingdom 4 weeks ago
Reading, England, United Kingdom 1 week ago
Abingdon-On-Thames, England, United Kingdom 3 days ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#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.
