Basic Qualifications :
- Master's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology / Bioinformatics or related field OR
- Bachelor's degree with 6- 8years of experience in Computer Science, IT, Computational Chemistry, Computational Biology / Bioinformatics or related field OR
- Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology / Bioinformatics or related field
Preferred Qualifications :
5+ years of experience in implementing and supporting biopharma scientific software platforms.Functional Skills : Must-Have Skills :
Proven expertise in a scientific domain area and related technology needsExperience with writing user requirements and acceptance criteria in agile project management systems such as JIRAExperience in configuration and administration of LIMS / ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platformsExperience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc.Good-to-Have Skills :
Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)Knowledge of the antibody discovery design, make, test, and analyze cycle.Experience in AI and machine learning for drug discovery research and preclinical developmentExperience with leveraging LLM tools to accelerate software development processes.Experience with cloud (e.g. AWS) and on-premise infrastructureSkills Required
Databricks, Sql, Llm, Aws