Snabbfakta
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- Cambridge
Ansök senast: 2024-11-11
Senior Bioinformatician / Software Developer
Publicerad 2024-09-12
Exciting Opportunity in Bioinformatics Software Development in an award-winning Cambridge Biotech
Find out more about this role by reading the information below, then apply to be considered.
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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