Development Scientist: Lab Research & Data Analysis

Bbisolutions; United Kingdom; Remote; GBP 30,000 - 42,000; Full time

Benefits offered by this job

Competitive Salary

Contributory Pension Scheme (5%)

Life Assurance

Private Health Care

Cycle to Work

Free Onsite Parking

Job summary

BBI is seeking a Development Scientist to join our team at our Crumlin site on a fixed-term, full-time basis. The role involves completing planned laboratory work, writing up experiments to QMS standards, and analyzing results for review by the project team.

You will also contribute to customer communications and presentations. The successful candidate will have lab experience, familiarity with statistical methods, and knowledge of quality management systems.

Qualifications

• Working knowledge in application of statistical methods e.g. analytical and descriptive statistics, use of Minitab and Excel an advantage.
• Experience of working within a laboratory environment.
• Quality management systems.
• Knowledge of immunology and analytical techniques such as ELISA an advantage.

Responsibilities

• Complete Laboratory work to BBI quality and health and safety requirements.
• Complete experimental write ups to QMS requirements and have them reviewed and approved in a timely manner.
• Review of other scientists' experimental write ups to ensure consistency and meet QMS requirements.
• Prepare project reports and communicate with customers as required.
• Attend customer meetings and present results using Excel/PowerPoint to the project team.

Skills

Laboratory skills

Statistics (Minitab)

Excel

PowerPoint

Documentation

Tools

Minitab

Excel

Job description

BBI is seeking a Development Scientist to join our team at our Crumlin site on a fixed-term, full-time basis. The role involves completing planned laboratory work, writing up experiments to QMS standards, and analyzing results for review by the project team.

You will also contribute to customer communications and presentations. The successful candidate will have lab experience, familiarity with statistical methods, and knowledge of quality management systems.