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Applied Scientist

OQC are looking for someone experienced at data analysis in a research context who is ready to take on a role with the potential to make a significant impact on our cutting edge quantum technology development projects.

Remuneration

  • £50,000 - £60,000 salary per annum
  • 25 Days holiday 
  • Employee Stock Ownership Plan (ESOP)
  • Pension
  • Private medical insurance
  • EAP cash plan
  • Group life and group income protection
  • Hybrid working
  • Cycle to work scheme
  • EV Car Scheme 
  • Gym and wellness benefits

About the Role

The Applied Scientist role will help OQCs Material Science and Device Engineering team to analyse data, and interpret results related to superconducting devices. They will develop data-backed recommendations to guide our team in improvements to the choice of materials and techniques as well as our nanofabrication processes. 

  • Analysing large datasets to extract insights and trends to support the advancement of our material characterisation and fabrication processes for superconducting devices. 
  • Developing scripts that extract information from a variety of data sources and formats
  • Collaborating with cross-functional teams to better understand OQCs data needs, developing data collection systems and providing results-driven recommendations
  • Creating automations for data and KPI tracking 
  • Generating high quality and detailed reports on findings
  • Sharing coding and analysis expertise with the wider team.

Person Specification

Essential skills and experience:

  • Strong background in data science skills, with experience in image processing and statistical methods demonstrated via previous work/research
  • Knowledge of fabrication techniques and characterisation methods for thin films, multilayers, and nano/micro structures.
  • Highly skilled in Python, and related libraries for data management, statistics, and data visualisation tools
  • Effective communication and presentation skills for seamless collaboration across diverse technical teams and levels
  • PhD or Master’s degree in physics, materials science, or a similar field
  • Autonomous motivation and prioritisation of workload
  • Analytical Thinking and attention to detail

Desirable Skills and Experience:

  • Experience working with Machine learning
  • Experience with professional software development
  • Use of code-sharing and control platforms (Git, Bitbucket etc.) 
  • Hands-on experience of experiments and techniques. (metrology, characterisation, fabrication)



Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.

About Our Company

At OQC, we see a brighter future for all, enabled by quantum.

Together we are pioneering cutting-edge quantum computers that unlock transformative discoveries, from advancing drug modelling to revolutionising battery technology. Our mission is to put quantum in the hands of humanity, empowering customers to discover new commercial and scientific frontiers.

When you join OQC, you become part of a diverse team of innovators, creators, and problem solvers. We bring together some of the brightest minds in quantum physics, nanotechnologies, hardware, software and commercial operations. Each team member brings a unique skill set and are united by our values, which guide us in everything we do - how we work, how we collaborate and how we shape the future of our industry.

Are you ready to help us build this future?

APPLY NOW!

Please use the link provided to apply for the role of Applied Scientist.  To aid your application, it will be beneficial to provide us with a cover letter outlining why you think you would be a good fit for the role and what attracts you to OQC. We look forward to hearing from you!

At OQC we are not just hoping you’ll fit in our culture. We aspire to thrive, as a company and as people, thanks to your diversity of thought and background. We are proud to be an equal opportunity employer and we are committed to providing our team members with a work environment free from discrimination, where everyone is treated with respect. Our employment decisions are based on business needs, talent and merit and all our colleagues share in the responsibility for fulfilling our commitment to diversity. We look forward to meeting you!

Average salary estimate

$55000 / YEARLY (est.)
min
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$50000K
$60000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Applied Scientist, Oxford Quantum Circuits

Are you ready to dive into the fascinating world of quantum technology? OQC is searching for an Applied Scientist who brings a wealth of experience in data analysis, especially in a research context. As part of our forward-thinking Material Science and Device Engineering team, you will play a pivotal role in analyzing data and interpreting results linked to superconducting devices. This isn't just a job – it's an opportunity to contribute to groundbreaking advancements in quantum computing! You’ll be responsible for delving into large datasets to extract meaningful insights that can guide improvements in our materials and fabrication processes. You'll develop scripts that pull information from various data sources, collaborate with cross-functional teams to address data needs, and even create automations for tracking key performance indicators. If you have strong data science skills, including experience in image processing and statistical methods, plus a solid command of Python, we’d love to hear from you! At OQC, not only will you enjoy a competitive salary between £50,000 - £60,000, but you’ll also have benefits like 25 days of holiday, an Employee Stock Ownership Plan, private medical insurance, and exciting wellness incentives. We are committed to diversity and encourage applications from all backgrounds, so if you feel you’re a 75% match for the role, don’t hesitate to apply. Join us and help reshape the future with quantum technology!

Frequently Asked Questions (FAQs) for Applied Scientist Role at Oxford Quantum Circuits
What are the primary responsibilities of the Applied Scientist at OQC?

The Applied Scientist at OQC is responsible for analyzing large datasets relevant to superconducting devices, developing data-backed recommendations, creating automations for data tracking, and generating detailed reports on findings. This role also involves collaborating with cross-functional teams to effectively understand and address data needs.

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What qualifications do I need to apply for the Applied Scientist role at OQC?

To apply for the Applied Scientist position at OQC, you should have a PhD or Master's degree in physics, materials science, or a related field. Essential skills include strong data science capabilities, experience with image processing, proficiency in Python, and a background in fabrication techniques for thin films and nano/micro structures.

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Is experience in machine learning required for the Applied Scientist position at OQC?

While experience with machine learning is not mandatory for the Applied Scientist role at OQC, it is considered a desirable skill. Candidates with backgrounds in machine learning will find it beneficial, but those with other relevant experiences are still encouraged to apply.

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What benefits do employees receive in the Applied Scientist role at OQC?

Employees in the Applied Scientist role at OQC enjoy a comprehensive benefits package, including a competitive salary ranging from £50,000 to £60,000, 25 days of holiday, an Employee Stock Ownership Plan (ESOP), private medical insurance, a pension scheme, and wellness benefits like gym memberships and cycle-to-work schemes.

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How does OQC support diversity in the hiring process for the Applied Scientist position?

OQC is committed to diversity and considers applicants from all backgrounds for the Applied Scientist role. They believe that skills can be learned and actively encourage those who meet approximately 75% of the role's qualifications to apply. OQC fosters an inclusive work environment free from discrimination.

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Common Interview Questions for Applied Scientist
Can you describe your experience with data analysis in a research context as an Applied Scientist?

When answering this question, highlight specific projects where you analyzed data, the methods you used, and how your findings impacted the research. Make sure to connect your experience to the responsibilities at OQC.

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How do you handle large datasets in your research work?

Discuss the tools and techniques you employ to manage and analyze large datasets. Mention any specific frameworks in Python you’ve used and how you've transformed raw data into actionable insights.

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What fabrication techniques are you familiar with, and how have you applied them in your previous roles?

Provide examples of the fabrication techniques you've worked with and explain how they relate to thin films and nano/micro structures. Sharing specific experiences will demonstrate your familiarity with the desired skills.

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Describe a time when you had to collaborate with a cross-functional team.

Share a specific example of a project involving collaboration with various teams. Emphasize your communication skills, the importance of teamwork, and how you helped bridge gaps in data needs.

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What statistical methods do you frequently use in your data analysis?

Mention the key statistical methods you apply, such as regression analysis or hypothesis testing. Relate how these methods have helped you draw meaningful conclusions from your data.

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How do you ensure the quality and accuracy of your data analysis?

Discuss your approach to validating and verifying data. Talk about any tools or practices you implement to maintain high standards of accuracy in your analysis.

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Can you provide an example of a successful data visualization project you've completed?

Describe a project where you created impactful data visualizations. Focus on the tools used, the audience for the visualization, and how it contributed to understanding complex data.

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What programming languages are you most comfortable with, especially in relation to data management?

Be specific about your proficiency in Python and any relevant libraries like Pandas or Matplotlib that you've used extensively in data management and visualization. It will show your qualifications for the Applied Scientist position.

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What motivates you to pursue a career as an Applied Scientist at OQC?

Express your passion for quantum technology and data analysis. Discuss what draws you to OQC's mission and how you see yourself contributing to advancements in quantum computing.

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How do you prioritize your workload when faced with multiple projects?

Explain your time management strategies and any tools you use to prioritize tasks effectively. Illustrate how you ensure that deadlines are met while maintaining high-quality work.

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Full-time, hybrid
DATE POSTED
December 6, 2024

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