We are looking for people who have a passion for bio-medical technology and an interest in solving complex challenges using machine learning. Individuals with integrity who instil confidence and can build trust with customers. Self-starters who instinctively push themselves and Sophia Genetics to new levels of performance. We prize intellectual ability over experience, with an aptitude to learn and challenge the status quo.Sophia Genetics recently raised $13.75M in a Series B financing round led by Invoke Capital, Endeavour Vision and Swisscom. This investment aims to accelerate European adoption of clinical analytics for genetic diseases. These are exciting times of expansion and we are looking for bright and passionate individuals to join our team.
Job Description
Being supervised by the Chief Technology Officer, you will take the development role of re-engineering and optimizing the pipeline for genome sequence alignment and variant detection. This will involve choosing appropriate parallelization techniques for currently sequential operations, as well as the implementation and parallelization of bioinformatics algorithms.
Qualifications and Experience
You will have an MSc or PhD in Computer Science, Bioinformatics or equivalent and several years of experience developing applied numerical solutions.
You will be expected to show the following abilities:
- Good analytical and creative problem solving skills
- C/C++ proficiency including multithreading
- Solid background in algorithmic complexity and string, tree, indexing etc. algorithms
- Strong data analysis skills using R / Bioconductor.
- Comfortable with script languages such as Perl, Python
- Previous experience with Exome/WGS data analysis would be an advantage
- A good command of English (the business language).
To apply please contact [email protected].