Life Science People are a strategic growth partner within the Life Science industry, providing bespoke services to the life science community from SMEs through to blue-chip organisations and sourcing the best talent to make a tangible contribution to healthcare.
Life Science People are working with a Biotech at the intersection of machine learning, novel chemistry, and RNA biology to shine light on the dark genome and improve patient's lives. Classical drug discovery is focused almost exclusively on protein targets, whereas this company's mission is to centre the engineering molecules targeting the "Dark Genome".
They are a "digitally native" company, building and deploying computational modules using a scalable cloud computing infrastructure linked to train-test cycles in the lab, permitting the discovery of small molecules modulators of RNA.
They are looking to appoint a Senior Computational Biology Researcher to lead the scientific and technical development of the RNA structure discovery pipelines, working with thought leaders at the intersection of RNA biology and chemistry. You will be working closely with the biologists and influencing experimental design, target selection and progression of biology programs. The mission of this role is to lead the development of RNA structure and functional discovery pipelines.
If you are looking for an opportunity to develop yourself, and work for a company offering professional development and career growth opportunities then this could be the role for you.
- PhD or equivalent in a computational biology field
- Experienced in the analysis of NGS data, with particular focus on RNA-related techniques for the study of RNA structure (i.e. SHAPE-seq/SHAPE-MaP, DMS-seq/DMS-MaPseq, icSHAPE, etc.), RNA-protein interactions (i.e. PAR-CLIP, eCLIP, etc.), RNA translation (i.e. Ribo-Seq) and RNA expression (i.e. RNA-seq, CAGE, etc.)
- Extensive expertise in the use of common programming languages (i.e. Perl, Python, C++, etc.)
- Working knowledge of statistical methods
- Experience with version control systems (i.e. GitHub)
- Experience with Linux or other UNIX-like operating system
- Ability to work independently as well as to collaborate with an interdisciplinary team and to effectively prioritize and manage multiple tasks in a fluid, fast-paced work environment.
- Creative, problem-solving skills
- Proactive, showing passion and excitement over work
- Desire to work in a small team, remote environment and adjust quickly to changing priorities
- Publications in relevant domains would be a plus.
If this Senior Computational Biology Researcher position interests you, then please apply now. You can submit your CV and cover letter highlighting your expertise as a Computational Biologist. We will send you a confirmation of acknowledgement, and please note feedback can take up to 2-3 weeks. Upon successful selection for an interview, the process will occur in the following three stages:
First stage: This will be an initial screening call with a Life Science People representative
Second stage: An initial phone call with the hiring manager to go through background and experience in relation to the role
Final Stage: This will be a final interview with key stakeholders within the business
The Computational Biology Researcher role is a full-time permanent position, paying a competitive compensation package. Their office is based in Canada, but welcome candidates who are looking for a fully remote working option. Full details will be provided on application.