Senior Data Scientist, Proteomics Data Pipelines

nomic; Poland; Remote; PLN 253,531 - 325,969; Full time

Benefits offered by this job

Innovative work environment

Opportunities for growth and development

Collaborative team culture

Job summary

A cutting-edge biotechnology company in Poland is seeking a talented data analyst to optimize and enhance data processing pipelines for their innovative nELISA platform. This role requires a deep understanding of bioscience data and software engineering skills. The ideal candidate has a graduate degree in bioengineering, over three years of experience in data analysis, and is proficient in building tools for scientists. Join a dynamic team committed to redefining proteomics and making a meaningful impact in early disease detection.

Qualifications

• 3+ years experience specifically with analyzing bioscience data and developing data processing algorithms.
• 2+ years in software engineering/development.
• Strong statistical skills including Bayesian statistics and mixed models.

Responsibilities

• Design, build, and automate data pipelines for processing raw flow cytometry data.
• Interpret experimental data related to nELISA.
• Develop additional data features and algorithms to support growth.

Skills

Analyzing bioscience data

Building data pipelines

Statistical analysis

Collaboration with scientists

Software development

Education

Graduate Degree in bioengineering or related field

Tools

Flow cytometry data processing

Data analysis software

Job description

A cutting-edge biotechnology company in Poland is seeking a talented data analyst to optimize and enhance data processing pipelines for their innovative nELISA platform. This role requires a deep understanding of bioscience data and software engineering skills. The ideal candidate has a graduate degree in bioengineering, over three years of experience in data analysis, and is proficient in building tools for scientists. Join a dynamic team committed to redefining proteomics and making a meaningful impact in early disease detection.