Head of Translational Bioinformatics

VACANCY – HEAD OF TRANSLATIONAL BIOINFORMATICS

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 senior level Head of Translational Bioinformatics to build out the analysis and interpretation function tackling complex data science cross the spectrum of EG’s R&D. Enthusiasm and passion to solve research problems combining data science, machine learning and team synergy are key to this role. The ideal candidate will have a strong background in a quantitative discipline that will cover domains such as biostatistics, bioinformatics and machine learning. Previous experience and domain knowledge in target or biomarker discovery would be highly advantageous to function in this role. Further, experience in team management and reporting to executive management would make for a strong candidate. This is a critical role in the long-term growth of Enhanc3D Genomics as the company advances programmes in the development of biomarkers, therapeutic targets and treatments for highly complex conditions in a fast-paced innovative environment. This person will be expected to contribute individually and provide leadership as part of team on data insight and analysis.

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 end-points
• 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 high-throughput 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 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)