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Genedata is an exceptional company. With nearly two decades of success in research informatics using closely-knit teams of scientists, software engineers and business experts, Genedata has achieved steady and continuous growth since inception. As a private company, we focus on building our organization for the long-term and empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider for R&D in the pharma and biotech industries. We are headquartered in Basel, Switzerland and have offices in Munich, Boston, San Francisco, and Tokyo.
We are looking for a Scientific Account Manager for our Genedata Bioprocess™ product, an enterprise IT platform making biopharma development workflows more efficient and increasing process quality. Our customer base consists primarily of large pharmaceuticals, Contract Manufacturing Organizations (CMOs), and biopharma generics companies (biosimilars). Genedata Bioprocess is primarily used by groups in cell line development, upstream and downstream bioprocess optimization (USP and DSP), as well as analytical and formulation development.
Genedata Bioprocess addresses many of today’s most pressing challenges including:
As a member of our professional services team, you will be working closely with customers on a wide variety of projects and tasks with an emphasis on enterprise software deployment projects and scientific consulting projects.
We are hiring for our headquarter office in Basel, Switzerland. The position requires about 10% travel within Europe.
This is an interdisciplinary, multi-faceted position that offers an exciting opportunity to support, shape, and promote a successful, cutting-edge software system. The position offers a high level of interactivity and responsibility in a growing company, and the opportunity to work as part of a strong international team.
Work on customer service projects, including large enterprise system deployment projects, process analysis projects, scientific and technical requirements projects, data migration projects, system integration projects and technology transfer projects, as well as user and technical training. Amongst other responsibilities, the successful candidate will be expected to:
We are interested in self-motivated and independent candidates that are curious, inquisitive, and able to present complex topics simply and rationally. As an ideal candidate, you hold a Master’s or Ph.D. degree in bioprocess or chemical engineering, biotechnology, biology, quantitative biology, bioinformatics, or a related field. In addition, you have already successfully managed larger, multi-group IT, technical, or scientific projects or delivered professional services in the life science industry. The ideal candidate has 2-4 years’ experience in either the software industry or the biotechnology and pharmaceutical industries. Specifically, experience in biopharma R&D, cell line development, upstream or downstream bioprocess development, analytical or formulation development, bioanalytics, and/or lab automation is a plus.
The candidate should have excellent written and verbal communication skills, be fluent in English, and be experienced and talented at giving presentations. We require strong initiative and dedication to quality of work as well as the ability to interact productively with scientists and IT experts. Practical experience in process software development, computer fluency, and familiarity with general IT concepts and technologies are required, together with a good understanding of molecular biology concepts. Hands-on experience with UNIX systems, Oracle databases, Java and scripting languages are advantageous.
If you are ready to contribute to the continued success of a global interdisciplinary team, please email your CV together with your motivation letter to: firstname.lastname@example.org with the reference number CH-BIO-SAM.
Genedata is an Equal Opportunity Employer.
Genedata prefers CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.