Senior Biological Software Engineer

2 days ago


UK, UK, United Kingdom Tech Kinect Full time
Job Responsibilities:
- Design innovative algorithms and systems for cutting-edge biological applications.
- Utilize creativity and deep expertise to simplify complex problems.
- Develop scalable, reliable, and maintainable systems that meet complex functional requirements.
- Create plans and guide their execution to balance ambitious capabilities, business urgency, technical debt avoidance, and high-quality standards.
- Continuously improve technical skills and promote state-of-the-art software engineering practices within the company.

Essential Skills:
- Master’s degree or higher in computer science or a related field, or equivalent professional experience.
- Experience working on large software projects throughout the entire product lifecycle, including planning, testing, and maintenance.
- Expert knowledge of at least one of the following languages: JavaScript, Python, or C#.
- Proficiency in software engineering technologies and practices for team collaboration and quality, and experience implementing them in engineering teams.
- Experience mentoring colleagues and a strong desire to do so.
- Genuine interest in biology and artificial intelligence.
- Excellent verbal and written communication skills in English.
- Senior experience in at least one, ideally more than one, of the following areas:
- System architecture, including cloud technologies, preferably with a focus on data.
- Development of software libraries and tools, including packaging and distribution with Python and Docker.
- Full stack development of web applications using React.

Desirable Skills:
- While the length of career is not a requirement, successful candidates are likely to have 8 or more years of professional experience.
- Experience leading teams or managing reports.
- Experience leading successfully released software products or systems.
- Ability to inspire colleagues and cultivate a passion for technical excellence.
- Professional experience or formal education related to biology or machine learning.
- Professional experience and/or desire to be involved in:
- Customer interaction, communication, and requirements gathering.
- Project management.
- Software design and specification.
- C++ and high-performance computing technologies.
- DevOps, Kubernetes, deployment, and production operations.

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