Job Description – Marketing Applications Specialist
Reports to: Marketing Manager
Location: Peterborough, UK
The Marketing Applications Specialist will be a key player at SepSolve, working within the wider Applications Team to develop, optimise and present new analytical methods. This will be both a challenging and interesting role with plenty of variety and opportunities to learn.
The role involves, but is not limited to, the following responsibilities:
- To research, plan and develop the required analytical methods to a consistently high quality and to an agreed specification and timescale.
- To identify the business advantages and benefits of the analytical solution, differentiate against competitive systems and provide results in a clear format.
- To perform chromatographic data analysis to prepare results for presentations and other technical documentation to allow promotion, delivery and method hand-over training of the completed application.
- To organise and host instrument or software demonstrations in a professional manner.
- To attend key seminars/conferences to present and promote the developed applications.
This role description in no way states or implies that these are the only duties to be performed by employee(s) in this position. Employees will be required to follow any other job-related instructions and to perform any other job‐related duties requested by any person authorized to give instructions or assignments
- A degree (or equivalent) in Analytical Chemistry, or a similar discipline, with >2 years GC-MS experience.
- Experience in running, maintaining and developing methods using GC-MS and proficient with chromatography data systems.
- Excellent written and verbal communications skills and a positive approach to solving problems
- Strong planning and organisational skills, proficient in time management, able to work independently and prioritise work.
- Willingness to travel (globally at times) to attend conferences/seminars or visit customer sites.
- Experience of operating/maintaining a range of GC and sample introduction techniques would be advantageous, e.g. GC‒FID, GC×GC, GC‒TOF MS, thermal desorption, SBSE, SPME or HS.
- Experience of using statistical software packages for data analysis would be advantageous.
Please send CV's in the first instance to Laura McGregor (email@example.com)