Computational Scientist mRNA & Gene Design (all genders) | Darmstadt, Hessen, Germany | Merck & Co.

Position:	Computational Scientist mRNA & Gene Design (all genders)
Institution:	Merck & Co.
Location:	Darmstadt, Hessen, Germany
Duties:	We are seeking a talented and motivated Computational Scientist to work in the mRNA Process and delivery team within the Life Science Service Innovation Team. In this role, you will work on laboratory scale gene synthesis for plasmid DNA. Your tasks will include gene and sequence design, sequence optimization, concept design for gene and mRNA sequence modelling. In addition, you will work on the analysis, visualization and documentation of sequencing and proteomics data. The applicant should be innovative, highly collaborative and a team player with excellent communication
Requirements:	PhD in (Bio)-physics, (Bio)-informatics or other relevant areas or PhD in Biology or Molecular biology with 3-4 years’ experience in bioinformatics and computational science; Knowledge and experience in computational biology, bioinformatics, algorithm development, and large language models; Demonstrated experience and expertise in codon and sequence optimization; Experience in Python, and/or other programming languages would be advantageous; Previous experience in the analysis of NGS or proteomics data is beneficial

Text:	Computational Scientist mRNA & Gene Design (all genders) We are seeking a talented and motivated Computational Scientist to work in the mRNA Process and delivery team within the Life Science Service Innovation Team. In this role, you will work on laboratory scale gene synthesis for plasmid DNA. Your tasks will include gene and sequence design, sequence optimization, concept design for gene and mRNA sequence modelling. In addition, you will work on the analysis, visualization and documentation of sequencing and proteomics data. The applicant should be innovative, highly collaborative and a team player with excellent communication PhD in (Bio)-physics, (Bio)-informatics or other relevant areas or PhD in Biology or Molecular biology with 3-4 years’ experience in bioinformatics and computational science; Knowledge and experience in computational biology, bioinformatics, algorithm development, and large language models; Demonstrated experience and expertise in codon and sequence optimization; Experience in Python, and/or other programming languages would be advantageous; Previous experience in the analysis of NGS or proteomics data is beneficial