A new and exciting opportunity has opened in a fast-growing Advanced Therapies company based in Oxford. They have pioneering technologies to accelerate the discovery and biomanufacture of Cell and Gene Therapies. This is a permanent role based on site on the Oxford Science Park, paying a very competitive salary and offering excellent career progression opportunities. There will be an opportunity for this individual to build a team. If you have strong communication and team working skills, this could be the role for you!
We are looking for an NGS Scientist with either a PhD in a relevant area employing documented wet-lab approaches, or a MSc or BSc with extensive relevant and validated work experience. Full details can be discussed on application.
Your role will include:
- Performing experiments and related activities to a high standard, being responsible for and operating / maintaining in-house NGS sequencing technologies.
- Collaborating with other research teams to demonstrate the importance of NGS to the business.
- You will also analyse data, write reports, present findings to both technical and non-technical audiences, work to tight deadlines and provide accurate record keeping and ensuring that work complies with recommended Health and Safety Guidelines.
Essential Criteria:
- A PhD in a relevant area employing documented wet-lab NGS approaches. OR a MSc or BSc with extensive relevant and validated work experience.
- Hands-on wet-lab experience with one or more of the following: miSeq, nanopore, and or PacBio sequencing technologies.
- Demonstrable wet-lab experience in the preparation of NGS libraries for sequencing.
- High-level attention to detail, and adherence to quality standards and standard operating procedures.
- Good communication skills and ability to work in a team.
Desirable criteria:
- Experience in experimental design with specific focus on downstream bioinformatic analysis.
- Experience of RNAseq, amplicon or library sequencing would be a distinct advantage.
- Experience with the visualisation of genomic data through a genome browser.
- Self-motivation; demonstrated success in delivering assigned tasks according to timelines and conducting independent research.
Full details can be provided on application.