Save time and money through improved onboarding of your NGS data scientists


Posted on January 14, 2020


On-Site_Workshops
Better training significantly reduces onboarding time for new hires

Hiring a suitable biologist or bioinformatician for sequencing data analysis takes lot of effort. Even if you are lucky and find the right talent, significant time is needed for on-the-job training. Your new team member needs time for learning before meaningful work results can be archived. This learning curve means that it could take weeks or even months for your new hiring to start working on his/her project.

The onboarding process is all about making employees, PhD students or Postdocs feel valued, providing them with the training and tools they need to succeed, and building a relationship with the workplace.

Employess with little or non onboarding often feel that they have to sink or swim alone, and are more likely to jump off the boat at the first opportunity. Since onboarding is the first real interaction of new team members with your company or institute, leveraging the experience is critical to avoid losing them.

We at ecSeq offer special NGS data analysis traingings, enabling your team members to quickly and purposefully enter this exciting field of work. With our training courses, the onboarding period can be reduced from several months to a few weeks. Starting with the basics (notations, methods, general understanding), we illustrate important error sources and slowly introduce participants to the Linux operating system. We show which tools can be used, how they have to be used and how one can interpret the results correctly. After our workshops, your new employees will be able to perform initial NGS data analyses independently and understand important technical NGS publications in detail.

Interested?

Several times a year, we organize introductory and advanced public courses on selected topics in next-generation sequencing data analysis.

Or do you want our trainers to come to you? Our on-site courses are very popular with companies or graduate schools from academic institutes or universities.


References:

We already trained many data scientists from large research organizations, universities, hospitals and large biotechnology and pharmaceutical companies:

  • Bayer Crop Science
  • KWS Saat AG
  • F. Hoffmann-La Roche AG
  • Miltenyi Biotec GmbH
  • Max Planck Insitute for Biophysical Chemistry
  • Max Planck Institute for the Science of Human History
  • Max Planck Institute for Biology of Ageing
  • Fraunhofer for Cell Therapy and Immunology
  • Max Delbrück Center for Molecular Medicine
  • Helmholtz Centre for Infection Research
  • Robert Koch-Institute
  • Weizmann Institute of Science
  • Ludwig Maximilians University
  • Charité Berlin
  • and many more ...

Testimonials:

"Good resume of the latest technologies and applications. It definitely improves the communication with our bioinformatics colleagues to perfom the proper analysis and understanding of the data. Thanks for an intensive but nice course." Susana Gonzalez Fernandez-Nino, Bayer Crop Science

"Great Training! Competent trainers and enjoyed the practical part of the training very much." Joerg Schmiedle, F. Hoffmann-La Roche AG

"As a wet lab biologist, I have been dabbling in analysing my RNA-seq data myself. This course gave me a lot of context about mapping and differential expression software that I hadn't been able to grasp on my own. This knowledge will certainly improve the quality of my analyses. Additionally, I learned a lot of handy Linux commands and tricks that make my life a lot easier." Paul Essers, Max-Planck-Institute for the Biology of Ageing

"I was very positive surprised, how well the presenting and teaching of this Technology was. Overall the speed and the difficulty were very nice and helpful. The Organisation was well planned and the benefit that each of us, had a computer were very efficient for the direct excercise. So thanks a lot, I will definitely recommend this curse." Dominik Buob, CureVac AG

"The course was simply great! I was looking for an introduction to RNA seq analysis without need of prior experience and got exactly what I was looking for. The pace, the information and the structure of the course was perfect. It was a good mix of theory, going through exercises as a group and then trying it out for yourself to get a feel for it. I really learnt a lot, and the course leaders were extremely knowledgeable." Ida Jentoft, Max Planck Insitute for Biophysical Chemistry

"One of the best workshops I ever attended. The organization was just great. The small excercises during the workshop were quite useful to internalize the contents. It was fairly easy to follow even if one has not worked with linux before. I would strongly recommend the workshop!" Sophie Bartsch, Fraunhofer for Cell Therapy and Immunology

"Very valuable workshop which improved my bioinformatics understanding a lot and provided interesting aspects, I will put more focus on while analyzing our own data." Corinna S., KWS Saat AG

"I was amazed by the excellent course structure, preparedness of the teachers, and practical relevance. The course allows in immediate start in NGS RNAseq data analysis." Martin Sperfeld, Weizmann Institute of Science

"As someone who was previously terrified of the command line, this was a terrific course to build confidence in navigating the terminal. Moreover, I walked away with a much deeper understanding of sequencing chemistry and the relative merits of different software packages for analysing different types of sequencing data. I highly recommend this course for any wet lab biologist whether at the student, postdoc, or PI level!" Alexandra McCorkindale, Max Delbrück Center for Molecular Medicine

"Thanks for this great workshop. Even though I am no bioinformatician I learned a lot about the different steps of RNASeq data analysis. Not only the linux based commands but also the nice overview how the sequencing process itself works helped me a lot to get a deeper insight and understanding for library preparation and analysis." Lisa-Marie Schmid, Ludwig Maximilians University






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