Staff Scientist (skin/hair follicle research)

at  Monasterium Laboratory Skin Hair Research Solutions GmbH

QIMA Life Sciences is a life science department of QIMA (https://www.qima.com/life-sciences) and brings together QIMA Bioalternatives, Newtone Technologies, and Monasterium Laboratory to offer a comprehensive range of research solutions in dermatology and pharmacology.
Monasterium Laboratory is based in Münster, Germany, and is a research company specializing in pre-clinical and clinical services in dermatology for therapeutics, cosmeceutical, and nutraceutical applications, offering among other clinically relevant ex vivo and in vivo pre-clinical models and state-of-the-art techniques. Given the continuous growth of our company, we are seeking a team-orientated, highly motivated, and enthusiastic Staff Scientist full-time to join our team. For an example of our research projects please visit the website https://www.monasteriumlab.com/expertise/publications/.
The complete job opening application requires the submission of a CV, a list of publications, and 3 reference letters or the contacts of 3 referees. Job applications not including all these documents will not be considered.

JOB REQUIREMENTS:

• Completed training as PhD in a relevant discipline
• 2+ years post-doctoral or industry experience
• Publication of at least two peer-reviewed first author paper in an international life sciences journal
• Excellent knowledge of written and spoken English (Company language: English)
• Ability to work independently and as part of a team
• Excellent organizational, time management and problem-solving skills
• Flexibility

• Organize the work packages for each assigned project to meet internal and external deadlines under the supervision of a Team Leader
• Propose a new R&D project that allows the company to grow its portfolio and plan/execute activities to meet internal deadlines under the supervision of a Team Leader
• Build scientific knowledge regarding the topics relevant to each assigned project
• Establish and validate new techniques
• Critical and professional data analyses, and interpretation
• Supervise and train technicians
• Critical and professional project documentation following internal QM guidelines
• Perform statistical analysis and presentation of data with appropriate software (e.g. Excel, GraphPad Prism)
• Professionally prepare milestone reports and manuscripts
• Provide project updates to the Team Leader and/or Chief Scientific Officer