Tech Ops Data Analyst (Programmer)

Oxford Nanopore; Oxford; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading scientific technology firm in the UK seeks a Data Analyst (Programmer) to enhance manufacturing data and support operations. The ideal candidate will have a numerate degree, strong Python skills, and knowledge of statistical concepts. Responsibilities include data analysis and developing tools for data management. The company offers competitive salary and benefits.

Benefits

Attractive bonus

Generous pension contributions

Private healthcare

Qualifications

• Strong Python programming skills are essential.
• Good understanding of statistical concepts and principles is required.
• Must have experience interpreting data and understanding definitions.

Responsibilities

• Analyse data to identify performance associations in manufacturing.
• Extend manufacturing data coverage and analyse it.
• Develop ETL processes and assess manufacturing quality.

Skills

Python programming

Statistical analysis

Data interpretation

Attention to detail

Education

Numerate degree (Mathematics, Statistics, Physics, Computer Science)

Tools

Python (Pandas, numpy, Matplotlib/Seaborn)

MySQL

MongoDB

Spotfire/Tableau

GitLab

Job description

Overview

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.

Responsibilities

• 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.
• Extend the coverage of manufacturing data and analyse it to establish its explanatory power: understand what aspects, if any, of manufacturing performance are associated with the data. Encompass the entire data pipeline, including developing Extract-Transform-Load processes through to analysing data to establish associative and causal relationships.
• Work with data that represents the quality of individual processes and input materials as part of the Predictive Manufacturing initiative, including the assessment and development of Causal Inference statistical techniques.
• Develop tools in Python to efficiently process, summarise and classify large volumes of data, creating pipelines that connect source databases to dashboards of results.

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/Tools

• Python (Pandas, numpy and Matplotlib/Seaborn)
• MySQL
• MongoDB
• Spotfire/ Tableau
• GitLab

Benefits

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 an attractive bonus, generous pension contributions, private healthcare and an excellent starting salary.

How to Apply

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.