Machine Learning Data Scientist Cambridge, East of England, England

Enhanc3D Genomics

Full Time Cambridge, East of England, England 10.56 - 12.04 GBP Today

Job description

VACANCY – MACHINE LEARNING DATA SCIENTIST

Enhanc3D Genomics is a functional genomics spinout company from the Babraham Institute (Cambridge, UK) leveraging a disruptive technology to profile three-dimensional (3D) genome folding at high resolution.

Enhanc3D Genomics is an innovative and dynamic company with diverse and highly engaged staff. We believe in fostering great teamwork to maximise our collective skills and experience. We are passionate about realising the power of 3D genomics by developing new cutting-edge technologies for therapeutic discoveries.

Role Profile

We are looking for a forward thinking, enthusiastic, highly motivated data scientist with a strong machine learning background.

You should be an organised professional with exceptional interpersonal and communication skills, enabling you to successfully operate in a business environment where confidentiality and discretion are paramount.

Key Accountabilities

Lead on developing machine learning approaches to support a variety of EGs R&D use cases
Conduct data science and investigative analysis to support EG's R&D programmes
Work with wet-lab scientists during experimental design and analysis phases, including understanding their goals, providing statistical support, and assisting with visualisation of complex and large datasets
Produce professional reporting outputs for internal research and external collaborations
Work across teams and proactively engage in knowledge sharing and peer support, including training

Required Skills and Abilities

Experience and strong knowledge of Machine Learning / Deep Learning, SciML (Scientific Machine Learning)
Ability to deliver quick wins alongside implementing more advanced modelling techniques
Excellent knowledge of two of Julia, Python and R. Proficient with common data science libraries/toolkits such as Julia data science libraries, Pandas, SciKit-Learn, Numpy, Keras, Tensorflow, PyTorch etc.
Algorithm design and development, data processing, statistical analysis and visualisation of complex and large datasets
Familiarity with common bioinformatic databases and tools
Good knowledge of biomarker discovery / target discovery
Knowledge of version control and collaborating with developers using GitHub
Track record of research in bioinformatics, biostatistics and genomics
Knowledge and ability to process, analyse and interpret NGS data across a variety of OMICS technologie
Excellent oral and written communication skills
Excellent organizational and record keeping skill

Desired Qualifications and Experience

Experience with and understanding of Hi-C, capture Hi-C, HiChIP
Experience with variant calling, exome/WGS pipelines or other high-throughput genomics workflows
Experience of working in a fast-paced research-driven commercial environment or in collaboration with industry
A strategic, inquisitive and innovative mindset with the ability to sense commercial opportunities in our data and exploit accordingly
Delivery skills with the ability to work well under pressure in an agile environment
Experience with pipeline development and software virtualisation (e.g. docker, singularity)