Jobs

Senior Bioinformatician / Software Developer


Job details
  • SciPro
  • Cambridge
  • 2 months ago
Applications closed

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!

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