Research Associate – Sample Prep Solutions
| Company | PerkinElmer |
|---|---|
| Location | Burlington, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Junior, Mid Level |
Requirements
- M.Sc. in Physical-chemistry, Analytical Sciences, Biochemistry, Bioinformatics, Biotechnology, Chemical Engineering, or related fields. B.Sc. with relevant experience will be considered.
- 2+ years of hands-on experience in sample prep.
Responsibilities
- Planning, execution, and analysis of experiments to prove feasibility of new ideas and concepts.
- Participation in prototype testing and assistance in product development and commercialization efforts.
- Generation of highly reproducible data, data analysis and presentation of results and conclusions in the form of verification and validation reports.
- Assist in Covaris Omics related pre-/post-sales customer communication activities and customer training.
- Develop expertise with NGS workflow steps including DNA/RNA extraction, shearing, and library prep from FFPE, cells, blood, and saliva.
- Develop expertise with modern protein extraction methodologies from FFPE, cells, and tissues and analytical techniques such as BCA assay, Bradford assay, SDS-PAGE, ELISA, Western Blot, etc.
- Support application development and Sales activities across other Omics as needed.
- Responsible for maintaining and updating all protocols and working with marketing to upload on the website.
- Troubleshooting for basic mechanical operation and application software.
- Assist in the pre-sales assessment of new applications for Covaris’ AFA technology.
- Work with the global sales team and support the sales team with presentations, demonstrations, and communications.
- Assist in the evaluation and performance optimization of different applications, instruments, and consumables for both internal stakeholders and customers.
Preferred Qualifications
- Critical thinking skills, excellent communication and interpersonal skills will be necessary, as well as the ability to prioritize tasks and timelines.
- Understanding of applied statistics and familiarity with design of experiments.
- Microsoft Office skills.
- Must be detail oriented and highly motivated.
- Oral presentation skills.