At a Glance
- Tasks: Design and develop innovative scientific software solutions using AI tools.
- Company: Join a leading automation-first company with a global collaborative culture.
- Benefits: Flexible hybrid work, competitive pay, and access to continuous learning programs.
- Other info: Collaborate with brilliant scientists and engineers in a dynamic, supportive environment.
- Why this job: Make a meaningful impact on scientific breakthroughs while working with cutting-edge AI technology.
- Qualifications: Strong background in statistics, machine learning, and software development.
We are hiring a Scientific Software Developer to work on client-facing project teams that help industrial R&D organisations make better, faster decisions and get products to market sooner. The work runs from data exploration through model development to production software, built on Enthought’s proprietary technology and the open-source scientific Python ecosystem. Agentic AI coding tools are the default way the work gets done here, so you will spend your days directing agents, checking what comes back, and owning the result. You will sit with client researchers and business leaders often enough that explaining a method clearly matters as much as building it.
Key Responsibilities
- Design end-to-end scientific solutions, applying deep knowledge of statistics, optimisation, and machine learning to translate client R&D problems into architectures spanning data, models, and user-facing applications.
- Work agent-first, using AI coding assistants and autonomous coding agents as your default way to explore data, prototype models, build software, write tests, and produce documentation.
- Direct AI agents like a technical lead. Decompose scientific and engineering problems into well-scoped tasks, supply the domain context and scientific constraints, write clear specifications, and iterate towards correct, defensible results.
- Evaluate what the agents produce. Catch errors, hallucinations, security issues, and subtle scientific or statistical inaccuracies before they reach a client.
- Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, then assemble them into web-based solutions involving GUIs, 2D and 3D graphics, and cloud computing.
- Design AI-enabled and agentic capabilities into client solutions where they add value: LLM-powered literature and data extraction, tool and function calling, retrieval over scientific data, and evaluation harnesses, held to the same rigour as any other component.
- Apply judgement about where generative approaches fit and where they do not, particularly with the small, sparse, and noisy datasets typical of scientific R&D, balancing speed against reliability and reproducibility.
- Participate in the team’s software practices: release planning, architecture reviews, code review, sprint planning, retrospectives, and stand-ups.
- Interface with clients to define, demonstrate, and refine solutions, and handle their data and intellectual property responsibly, using AI tools only in approved, secure configurations.
What We Offer
- Meaningful impact. Your work directly advances scientific breakthroughs, from accelerating drug discovery to developing sustainable materials.
- A front-row seat to agentic AI. We are an automation-first company where every role directs AI tools, and you will help define how the industry puts them to work.
- World-class colleagues. You will work alongside some of the smartest, kindest scientists and engineers around.
- Continuous learning. Enthought’s training programmes in Python, machine learning, and scientific computing are open to you.
- A global, collaborative culture across our Austin, Cambridge, and Tokyo offices.
- Flexible hybrid work based out of our Cambridge office.
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Scientific Software Developer in Cambridge employer: Enthought, Inc.
Enthought is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals seeking to make a meaningful impact in the fields of scientific computing and AI. With a strong emphasis on employee growth, you will have the opportunity to lead a talented global team while working in a dynamic environment that values cutting-edge technology and continuous learning. Located in vibrant cities like Austin, Tokyo, and Cambridge, Enthought offers a unique blend of professional development and work-life balance, ensuring that you thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Software Developer in Cambridge
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Enthought, Inc., you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Enthought, Inc.. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Scientific Software Developer in Cambridge
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Enthought, Inc.. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Enthought, Inc.. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Enthought, Inc.
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Enthought, Inc.. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Enthought, Inc. to drive research projects forward.
