Bioinformatician/Senior Bioinformatician
Cambridge, United Kingdom
UK Lab /
Permanent, full-time /
Hybrid
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.
Biofidelity’s core values are Humanity- care & compassion; respecting personal lives; humour. Openness- sharing research; experimental approach; permission to fail. High expectations- be fearless; make a difference; willingness to do what’s needed. Our core values define our company culture, they are shared values, goals, attitudes and practices that characterise Biofidelity employees. We are looking for likeminded people to join the Biofidelity team.
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.
Biofidelity is seeking a talented and highly motivated Bioinformatician to join our Bioinformatics team. In this role you will play a pivotal role in developing and implementing bioinformatic solutions across our product development pipeline, from concept and development to clinical validation and product launch. An ideal candidate is collaborative, adaptable and enjoys working in a dynamic environment.
Key responsibilities:
● Develop and implement novel mathematical models and statistical analyses for variant calling and detection of minimal residual disease (MRD)
● Develop machine learning methods to improve probe efficiency and selectivity
● Work closely with the R&D team, providing insight into data that improves assay performance
● Develop high quality, maintainable code
Knowledge, Skills and Abilities:
● Strong background in mathematics, statistics, or computational biology (essential) and oncology (desired)
● Prior experience of processing, analysis and interpretation of NGS data (essential)
● Machine learning experience, for example, using TensorFlow, PyMC , PyTorch, sklearn and/or SciPy(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 non-technical colleagues (essential)
● Familiarity with standard software engineering tools (Jira, Git, CI/CD) (essential)
● Experience using bioinformatics workflow management systems (essential)
● Experience in architecting and developing cloud-based 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)
