Skylark - Bioinformatician

We have an opportunity for a talented and highly motivated Bioinformatician to join an exciting new business venture focused on applying the company’s proprietary gene silencing platform (GEiGS) to the development of novel human therapeutics.

The GEiGS technology facilitates Stable, Tunable and Programmable silencing activity, differentiating it from alternative gene editing or gene regulation approaches, and specifically enables production of programmable, next-generation cell therapies, addressing many current limitations.

The appointee will be joining a multidisciplinary team of computational and experimental biologists. The post is ideal for a dynamic individual looking to be part of a cutting-edge research program that will also have real impact on patients’ lives. Due to the early stage nature of the company it is imperative to have a pragmatic, can-do, collaborative approach.

Skills

Essential

• Significant experience with mammalian genomics and genome-scale data analysis; Prior experience in human genomics preferred
• Proficient with bioinformatics tools and pipelines, especially NGS data processing for variant calling, expression profiling (bulk/single-cell RNA-seq) and/or other functional genomics applications
• Proven programming skills. Preference: R, Python

Desirable

• Familiarity with cloud services (AWS) and databases (SQL) for genomics data processing and storage; Linux & HPC experience a plus
• Knowledge or working experience with non-coding RNA analysis and/or gene modulation technologies (e.g. CRISPR)
• Experience establishing computational infrastructures in an industry/company setting
• Experience troubleshooting application issues
• Training and experience in the application of machine learning and use of statistical models is a plus

Qualifications / Profile

• BSc/MSc/PhD with experience in bioinformatics, computational biology, statistics, and/or a related field; PhD would be an advantage
• Strong communication skills with the proven ability to relay information effectively and efficiently, both to computational and experimental scientists.
• Team-orientation toward collaboration and mutual success
• Ability to ensure reproducible and transferable work through use of appropriate procedures and documentation

Additional information

• Job Location: Hybrid working anticipated with ability to spend time at office location in Stevenage, Hertfordshire
• Time requirement: Full time
• Compensation: We offer a competitive compensation package to successful candidates

To apply, please send CV and cover letter to careers@skylarktx.com