Python Specialist Data Science in Cambridge

Python Specialist Data Science in Cambridge

Cambridge Temporary No working from home possible
Pure Resourcing Solutions

At a Glance

  • Tasks: Design and develop APIs to connect scientific data with software tools for researchers.
  • Company: Established drug discovery organisation with a focus on innovation.
  • Benefits: Competitive salary, professional development, and impactful work in science.
  • Other info: Join a dynamic team with opportunities for growth in a vital industry.
  • Why this job: Make a real difference in drug discovery through your backend expertise.
  • Qualifications: 3-5 years in software engineering, strong Python or Java skills, and database experience.

Salary: 70000 per annum

Term: Permanent

Location: Cambridge, Cambridgeshire

Informatics Specialist (2 Year Fixed Term)

Pharmaceutical / Drug Discovery

We are working with a well-established drug discovery organisation to recruit an Informatics Specialist on a two year fixed term basis. This is a technical, backend-focused role sitting within a broader informatics function, where you will play a central part in connecting complex scientific data with the software tools used by researchers and scientists across the business.

The Role

You will be responsible for the design, development and maintenance of production-ready APIs that expose scientific data across the organisation. Working closely with the Head of Informatics, you will take ownership of relational database models, lead ORM implementation and ensure data pipelines are robust, scalable and fit for purpose in a high-dimensional screening environment. Day to day you can expect to be working across API architecture, database performance tuning, third-party software integration and automated data pipelines, with a real focus on quality and developer experience.

What you will be doing:

  • Building and deploying RESTful or GraphQL APIs using FastAPI, Flask or Spring Boot
  • Leading implementation of complex data relations using SQLAlchemy, Django ORM or JPA/Hibernate, with a strong focus on query optimisation and performance
  • Evolving and maintaining relational database models to support complex molecular and screening data
  • Resolving bottlenecks in data retrieval through indexing strategies, ORM-generated SQL optimisation and caching
  • Establishing and enforcing API standards across the team, including OpenAPI/Swagger documentation
  • Building connectors to integrate third-party scientific tools such as Dotmatics, Revvity Signals or Titian Mosaic with internal data stores
  • Designing and maintaining automated pipelines to move data from instruments and LIMS into a centralised data warehouse

What we are looking for:

  • 3 to 5 years of professional experience in a software engineering or informatics role with a strong backend and API focus
  • Hands-on experience with SQLAlchemy (Python) or JPA/Hibernate (Java) for complex relational mappings and performance tuning
  • Strong command of Python (FastAPI/Flask) or Java (Spring ecosystem)
  • Deep understanding of PostgreSQL or MySQL, including execution plan analysis and normalisation
  • Familiarity with Docker, CI/CD pipelines (GitHub/GitLab Actions) and API security practices (OAuth2, JWT)
  • A background in or genuine familiarity with the drug discovery process and its supporting tools
  • A degree in Computer Science, Bioinformatics or a related discipline
  • Experience with Celery or Redis for managing long-running scientific computations would be a bonus, as would relevant industry certifications.

Interested? If you have a background in scientific software or informatics and are looking for a role where your backend and API work has genuine research impact, we would love to hear from you. Get in touch with the team at Pure Resourcing Solutions for a confidential conversation.

Python Specialist Data Science in Cambridge employer: Pure Resourcing Solutions

Join a prestigious local organisation on the outskirts of Ipswich, where you will be valued as a key player in financial management. With a competitive salary and a comprehensive benefits package, including hybrid working options, this role not only offers a chance to lead a finance team but also provides ample opportunities for professional growth in a supportive work culture that prioritises collaboration and innovation.

Pure Resourcing Solutions

Contact Details:

Pure Resourcing Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Python Specialist Data Science in Cambridge

Tap into Online Data Science Communities

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We think you need these skills to ace Python Specialist Data Science in Cambridge

Python
FastAPI
Flask
SQLAlchemy
JPA/Hibernate
PostgreSQL
MySQL

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Pure Resourcing Solutions, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pure Resourcing Solutions, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pure Resourcing Solutions’s attention and show the tangible impact of your work.

How to prepare for a job interview at Pure Resourcing Solutions

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pure Resourcing Solutions.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pure Resourcing Solutions.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pure Resourcing Solutions.