Data scientist - temporary 1 year assignment
Core
Develop methods and tools for data analysis, participate in product development from concept to launch, and provide advanced data analysis expertise for proteomics and life sciences research.
Role type
Data Scientist (Life Sciences/Bioinformatics)
Builds
Data analysis methods, tools, and bioinformatic solutions for internal and external use
Domain
Life Sciences, Proteomics, Biotechnology
Deliverable
production ML models
Required skills
R, Python, SQL, statistical methods for high-throughput data, cloud platforms (AWS/Azure/Spark/Databricks), Git/DevOps, study design
Preferred skills
Machine learning, quality control methods, internal training delivery
Technologies
R, Python, SQL, AWS, Azure, Spark, Databricks, Git
Responsibilities
Develop methods and tools for data analysis, participate in product development lifecycle, develop and improve quality control methods, assist in troubleshooting data issues, develop solutions for monitoring QC parameters, participate in developing bioinformatic solutions, organize internal training, provide study design and data analysis support
Seniority
Mid-Senior (MSc +4 years or PhD +2 years)
