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 needs
- Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms
- Experience 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 development
- Experience with leveraging LLM tools to accelerate software development processes.
- Experience with cloud (e.g. AWS) and on-premise infrastructure
