Head of Bioinformatics - Cambridge, United Kingdom - Enhanc3D Genomics

Description

VACANCY - HEAD OF BIOINFORMATICS - TRANSLATIONAL GENOMICS

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

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 bioinformatics, biostatistics and visualisation programmes
• Develop innovative strategies for EG's target discovery / biomarker discovery programmes, including assessment, benchmarking and theoretical development of EG's statistical algorithms and methodology, as well as contribute to efficient computational implementations.
• Contribute and oversee scientific design both for technology development and biological insight endpoints
• Produce professional reporting outputs for internal research and external collaborations.
• Work across teams and proactively engage in knowledge sharing and peer support, including training
• Line management

Required Skills and Abilities

• Track record of research in bioinformatics, biostatistics, genomics
• Experience and strong knowledge of Machine Learning / Deep Learning, SciML (Scientific Machine Learning)
• 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 etc.
• Experience with Next Generation Sequencing platforms and / or OMICS datasets
• Familiarity with common bioinformatic databases and tools
• Knowledge of version control and collaborating with developers using GitHub
• Excellent oral and written communication skills
• Excellent organizational and record keeping skills
• Programming and statistical data analysis and visualisation experience in R or Python with one or more common ML frameworks (Tensorflow, PyTorch, etc )
• Experience with variant calling, exome/WGS pipelines or other highthroughput genomics workflows
• Good knowledge of biomarker discovery / target discovery
• Ability to deliver quick wins alongside implementing more advanced modelling techniques
• Line management

experience


Desired Qualifications and Experience

• Experience with and understanding of Hi-C, capture Hi-C, HiChIP
• A social personality that contributes to an open, positive, collaborative working climate, and a strong desire to drive personal development
• Proven experience of working in a fastpaced researchdriven 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)