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- Tasks: Support and implement cloud-based scientific software, ensuring customer success and system maintenance.
- Company: Join Dotmatics, a leader in digital science platforms transforming scientific research.
- Benefits: Remote-friendly work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the scientific community while working with cutting-edge technology.
- Qualifications: 5+ years in Pharma/Biopharma, experience with AWS, Linux, and Python required.
- Other info: Collaborative global team dedicated to accelerating scientific innovation.
The predicted salary is between 36000 - 60000 £ per year.
At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our vision for a new Lab of the Future aims to change the future of scientific research.
We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. Scientific enterprises need a new level of effectiveness to achieve tomorrow's breakthroughs.
Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation to make the world a healthier, cleaner, and safer place to live.
Protein Metrics is seeking a talented Scientific Cloud Ops Specialist to provide overall support and implement professional services for our cloud-based Byosphere Software. You will leverage deep experience leading software implementations and develop expert knowledge of Protein Metrics solutions to inspire customer confidence.
This position is a mix of Cloud, Desktop application Deployment, Maintenance, Support & Customer user support hence the need for Scientific/Life Science exposure. You will be responsible for providing technical and scientific customer support for Protein Metrics applications.
You will work within a small team, deploying, upgrading, monitoring, troubleshooting, and maintaining our desktop product as well as our client/server-based system (deployed either on premises or on AWS). This role involves working on Scientific software and supporting customers with queries on the scientific software, so possessing an understanding of the Biopharma or Life Science industry is essential.
Ideally, you will come from a background in Science such as from the wet-lab with a strong focus on technology and software tools, possibly acting as an admin, or in pre-sales, technical support for scientific software or a similar field. This position will report to the Enterprise Services Lead and will provide support to customers across multiple time zones with a primary emphasis on Europe.
In this role you will get to:
- Install, provision, and administer Protein Metrics applications on Linux and Windows environments (on desktop, on-premises servers, and AWS Cloud).
- Maintain, upgrade, and migrate Protein Metrics applications for customers.
- Conduct root cause analysis following incidents and implement preventive actions, documenting incidents and following up with Product Management and Engineering for resolution.
- Proactively monitor the cloud environments and troubleshoot issues as they arise.
- Monitor security threats and health of our systems using tools and services such as DataDog or CloudWatch and address alerts.
- Prepare and maintain documented operating procedures.
- Define and implement integration solutions between our Enterprise Software and external tools such as ELN and LIMS.
- Communicate with customers and their IT to deploy our Enterprise Software solution.
- Act as the voice of the customer for all things related to their technical success in using Protein Metrics software.
We are looking for people who have 5+ years of experience working in Pharma/Biopharma environments, with an education or work experience in Bioinformatics, Chemistry or Biology, and have developed technical experience in AWS, Linux, and Python. You will have a proven background in supporting cloud environments or cloud operations for enterprise scientific software users.
The key skills we are looking for include:
- Customer Facing Skills
- AWS Deployment
- Python, Powershell, Bash scripting
- Monitoring Tools (AWS, Grafana)
- Relational Databases (MySQL)
- REST APIs
You may also have:
- Network Administration
- ELN/LIMS or scientific applications
- Docker
Employment type: Full-time
Job function: Science, Engineering, and Information Technology
Industries: Software Development and Technology, Information and Media
Scientific Cloud Ops Specialist in London employer: Dotmatics
Contact Detail:
Dotmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Cloud Ops Specialist in London
✨Tip Number 1
Network like a pro! Attend industry events, webinars, or local meetups related to scientific software and cloud operations. Connecting with professionals in the field can open doors and lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AWS, Python, or any relevant scientific applications. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud operations and scientific software. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission of accelerating scientific innovation.
We think you need these skills to ace Scientific Cloud Ops Specialist in London
Some tips for your application 🫡
Show Your Passion for Science: When writing your application, let your enthusiasm for science and technology shine through. We want to see how your background in the life sciences aligns with our mission at Dotmatics. Share specific experiences that highlight your passion for scientific innovation!
Tailor Your Application: Make sure to customise your CV and cover letter for the Scientific Cloud Ops Specialist role. Highlight relevant skills like AWS deployment and customer support experience. We love seeing how your unique journey fits into our vision for the Lab of the Future!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team!
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Dotmatics
✨Know Your Science
Make sure you brush up on your scientific knowledge, especially in biopharma and life sciences. Be ready to discuss how your background in science can help you understand the technical aspects of Protein Metrics applications.
✨Showcase Your Technical Skills
Prepare to talk about your experience with AWS, Linux, and Python. Have specific examples ready that demonstrate your ability to deploy and maintain cloud environments, as well as any scripting you've done using Powershell or Bash.
✨Customer-Centric Mindset
Since this role involves customer support, think of instances where you've successfully resolved customer issues. Highlight your communication skills and how you ensure customer satisfaction, especially when dealing with technical queries.
✨Be Ready for Problem-Solving
Expect questions that assess your troubleshooting abilities. Prepare to discuss a time when you conducted root cause analysis or dealt with a significant incident. Show how you approach problems methodically and document your findings.
