Data Scientist/ Senior Data Scientist

2 weeks ago

United Kingdom zeroG - AI in Aviation Full time

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

Biofidelity is looking for an experienced Data Scientist to design, develop and implement statistical methods for the analysis and reporting of genomic and clinical datasets. In this role you will work alongside colleagues from cross-functional teams to develop Biofidelity’s products. This role reports to the Principal Data Scientist.

Key responsibilities:

● Develop and evaluate novel statistical methods for the analysis of custom molecular biology datasets, including Biofidelity’s proprietary ASPYRE and NGS platforms

● Work closely with technology development, product development, clinical and operations teams to design experiments, conduct statistical analyses, and provide insights to help drive improvements of our technology

● Communicate analysis results and implications clearly across the company, including to non-technical colleagues

● Work with software developers and quality teams to implement code in line with Biofidelity’s software development procedures and in compliance with relevant regulatory requirements

Knowledge, Skills and Abilities:

● Experience in the development of statistical and machine learning methods, techniques and tools

● Fluency in statistical programming (preferably using Python)

● Experience in life sciences and working with biological data (preferred)

● Ability to quickly grasp an understanding of concepts in molecular biology and apply these to data modelling and interpretation

● Curious, proactive and problem-solving mindset with an attention to detail

● Clear communicator, with a ‘can do’ attitude and the ability to work with cross-functional teams

● Knowledge of software development and quality assurance such as ISO 13485, EN 62304, ISO 27001 (desired)

Requisite Education and Experience / Minimum Qualifications:

● PhD or equivalent level of relevant industry experience in Statistics/Biostatistics/Mathematics or a related discipline

● Previous industry experience in life sciences in a similar role (desired)

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