Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
programming skills in Python. Hands-on experience with LLMs (via APIs or open-weight models), for example prompt design, or tool/function calling. Working knowledge of common bioinformatic workflows (e.g
-
spoken English. Experience in Python and/or R. Experience with Linux and Bash. Experience with bulk, single-cell or single-nucleus RNA-sequencing data. Ability to troubleshoot and resolve
-
or scripting for data engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns
-
engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns. Semantic modelling and business
-
Python and Git, with high standards for software quality, verification, documentation and user-friendliness strong problem-solving skills, you can take ownership of complex technical topics and figure out
-
bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
-
bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
-
, including Teams and SharePoint. Familiarity with IT support tools such as ticketing systems, device management platforms or monitoring tools is a plus. Scripting skills such as PowerShell, Python or Bash
-
and AI minimum 4 years of relevant experience in computer vision strong proficiency in Python and Git, with high standards for software quality, verification, documentation and user-friendliness strong