Data Analyst – HTS & Lab Data Insights

Axxam; Bresso; In loco; EUR 38.000 - 60.000; Tempo pieno

Descrizione del lavoro

Axxam is seeking a Data Analyst to join the Data Sciences Team in the Data & Digital Operations area. The role involves data management, analysis and reporting across various HTS campaigns, requiring strong communication with scientists and international clients.

The ideal candidate holds a Master’s in Biotechnology, Statistics or Data Science, with hands-on experience in data processing, visualization, and interpretation, plus proficiency in Excel and data analysis tools.

Competenze

• Master’s degree in Biotechnology, Statistics or Data Science.
• Experience in data processing, visualization and interpretation.
• Advanced Excel, Word and PowerPoint skills.
• Attention to detail and problem-solving abilities.
• Able to work in a highly collaborative environment.
• Experience with HTS data processing desirable.
• Knowledge of Genedata Screener is a plus.
• Knowledge of R and/or Python is a plus.
• Experience with Prism, Knime and Dotmatics Vortex is a plus.
• Fluent English (spoken and written).

Mansioni

• Analyse HTS results across a broad variety of assay types and generate reports in English.
• Support data analyses and prepare presentations for clients and internal teams.
• Collaborate with scientists and IT experts to ensure accurate data management.

Conoscenze

Data analysis

Data visualization

Excel

Communication skills

Team collaboration

Attention to detail

Problem solving

Fast learner

Python

R

Formazione

Master’s degree in Biotechnology/Statistics/Data Science

Strumenti

Genedata Screener

R

Python

Prism

Knime

Dotmatics Vortex

Descrizione del lavoro

Axxam is seeking a Data Analyst to join the Data Sciences Team in the Data & Digital Operations area. The role involves data management, analysis and reporting across various HTS campaigns, requiring strong communication with scientists and international clients.

The ideal candidate holds a Master’s in Biotechnology, Statistics or Data Science, with hands-on experience in data processing, visualization, and interpretation, plus proficiency in Excel and data analysis tools.