At a Glance
- Tasks: Design and build data integration tools for scientific R&D teams using Python.
- Company: Join a rapidly growing Scientific SaaS company at the forefront of innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Make a real impact in science by transforming how R&D teams manage data.
- Qualifications: Proficient in Python and SQL, with experience in handling large datasets.
The predicted salary is between 50000 - 70000 £ per year.
Hybrid (London)
About the Company
We are working closely with a rapidly growing Scientific SaaS company who have developed a unified LIMS platform to support enterprise R&D teams. Their platform is used by R&D teams in chemicals, material science, pharmaceutical, and other science-driven industries to manage experimental data, connect lab systems, and apply advanced analytics and AI to accelerate innovation. Joining this company means working at the intersection of science, data, and software, where your work has a direct and visible impact on how real-world R&D is done.
They require a Software Engineer with a computer science background to join their Customer Implementation team. The role will be hybrid in London. We're looking for motivated engineers who can help to build out tools that will accelerate the development of new chemicals and materials. Your primary responsibility will be to develop data integrations for customers to, for example, ingest data from lab equipment and set up automated data transfer routines. This role primarily involves writing Python scripts.
Responsibilities:
- Designing and building custom data ingestion pipelines between customer systems and the platform
- Writing Python-based integration scripts using modern Python frameworks
- Working with large scientific datasets, including structured and semi-structured lab data
- Performing data transformation, validation, and manipulation to support downstream analysis
- Collaborating with implementation, customer success, and scientific stakeholders to understand customer workflows
- Supporting complex customer onboarding and expansion projects through tailored technical solutions
Required skillset:
- Experience using Python in a professional environment (framework experience required)
- Working knowledge of SQL and relational databases
- Experience handling and manipulating large datasets, ideally scientific or experimental data
- Interest in working in a customer-facing, implementation-focused engineering role
- Degree in Computer Science or a relatable field
Nice to Have:
- Experience integrating data from lab equipment or scientific instruments
- Familiarity with Excel or other analytical tools
- Exposure to SaaS, data platforms, or startup environments
Software Engineer-Chemistry & Data Intergration in London employer: Next Phase Recruitment Limited
This rapidly growing Scientific SaaS company offers an exciting opportunity for Software Engineers to work at the forefront of innovation in the R&D sector. With a hybrid work model in London, employees benefit from a collaborative culture that values scientific inquiry and technical excellence, alongside opportunities for professional growth and development. Join a team where your contributions directly enhance the capabilities of R&D teams across various scientific fields, making a tangible impact on the future of materials and chemicals.
Contact Details:
Next Phase Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer-Chemistry & Data Intergration in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data integration or scientific applications. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s platform. Be ready to discuss how you can contribute to their mission of accelerating innovation in R&D with your expertise in data integration.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for motivated engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Software Engineer-Chemistry & Data Intergration in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background in computer science makes you a great fit for our Customer Implementation team.
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled challenges, especially related to data integration or working with large datasets. We love seeing how you approach problems and find solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Next Phase Recruitment Limited
✨Know Your Python Inside Out
Since the role heavily involves writing Python scripts, make sure you brush up on your Python skills. Be prepared to discuss your experience with modern Python frameworks and even solve a coding challenge during the interview.
✨Understand the Science Behind the Data
Familiarise yourself with the basics of chemistry and data integration. Knowing how R&D teams use data in their workflows will help you connect better with the interviewers and demonstrate your genuine interest in the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your experience with large datasets and any specific projects where you designed data ingestion pipelines or automated processes.
✨Engage with the Interviewers
This role is customer-facing, so show your communication skills! Ask insightful questions about the company's platform and how they support their clients. This will not only demonstrate your enthusiasm but also your understanding of the importance of collaboration in implementation-focused roles.
