Senior Bioinformatician / Software Developer

SciPro
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Data Scientist

Senior Machine Learning Scientist

Senior Machine Learning Engineer

Senior Computer Vision Engineer

Exciting Opportunity in Bioinformatics Software Development in an award-winning Cambridge Biotech

Are you passionate about bioinformatics and software development? We’re looking for a talented and self-driven individual to join a dynamic team working on cutting-edge pipeline and platform development. This role offers a unique chance to contribute to groundbreaking scientific research, from early-stage target discovery to lead optimization and candidate selection.

What You’ll Do:

  • Collaborate with multidisciplinary teams, including biologists, chemists, geneticists, and data scientists, to develop and maintain critical bioinformatic tools and pipelines.
  • Provide analytical and statistical expertise to enhance decision-making in experimental design.
  • Contribute to the design and implementation of a flexible bioinformatic web-ecosystem, empowering scientists to maximize the value of their data.
  • Engineer, optimize, and validate internal pipelines to ensure they are scalable, configurable, and meet high production quality standards.
  • Lead projects independently and present updates to key decision-makers.

What You Bring:

  • A PhD (or equivalent experience) in bioinformatics, biology, genetics, computer science, or a related field.
  • At least 2 years of industry experience.
  • Proficiency in collaborative coding and version control using Git.
  • Experience delivering production-quality Python code and working with NGS data.
  • Familiarity with Python testing frameworks (e.g., pytest, unittest).

Desirable Skills:

  • Experience in UI/UX, and cloud environments (AWS, GCP, Azure).
  • Experence in a drug discovery setting.
  • Proficiency in additional programming languages (R, JavaScript, Go, Rust) with a preference for JavaScript.
  • Experience with Pydantic, SQL Alchemy, Nextflow, and SQL databases (especially PostgreSQL).
  • Knowledge of machine learning algorithms and genetic association methodologies.

Location:

  • This is a hybrid position in Cambridge (UK).


Join us in driving innovation at the intersection of biology and technology.

Apply now to be a part of a team that’s making a real, patient-led impact!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.