Bioinformatician - Cambridge, United Kingdom - Biofidelity

Description

Biofidelity is a revolutionary genomic technology company dedicated to unleashing the potential of genomics to transform human health and the world we live in.

Our adaptive platform technology removes the noise from genomic data, providing only the information needed to make decision making less complex, faster, and more accurate.

At Biofidelity we are proud to have built a culture of humanity, openness and high expectations. We work towards well-defined goals, with a strong belief that we can make genomics globally accessible. Our people are keen to take responsibility for their work and share both their successes and challenges.

Alongside a competitive salary and opportunities for career development, we offer a comprehensive benefits package including private medical & dental care, bonus, share option scheme, pension, income protection and life insurance, cycle to work scheme, season ticket loan, 26 days per year holiday allowance and free physical training sessions.

The role

Key responsibilities:

• Develop and implement methods for the processing, analysis and interpretation of NGS data
• Architect secure, robust and scalable cloudbased tools
• Work closely with the R&D team, providing insight into data that improves assay performance
• Develop high quality, maintainable code and statistical methods

Knowledge, Skills and Abilities:

• Strong background in computational biology (Essential) and oncology (Desired)
• Scientific software development experience (Essential, proficiency in one or more of Python, C, C++, or R)
• Clear communicator, with a 'can do' attitude and the ability to work across the company including nontechnical colleagues (Essential)
• Experience with NGS data analysis (Essential)
• Familiarity with standard software engineering tools (Jira, Git, CI/CD) (Essential)
• Understanding of mathematical modelling and statistical analysis of NGS data (Essential)
• Experience using bioinformatics workflow management systems (Essential)
• Experience in architecting and developing cloudbased solutions in Amazon Web Services (Desired)
• Knowledge of relational databases such as MySQL and PostgreSQL for managing and querying large datasets (Desired)

Requisite Education and Experience / Minimum Qualifications:

• BSc/MSc in fields of computer science with previous industry experience or PhD in computational biology / bioinformatics
• Experience in postdoctoral research or industry (Desired)