Clinical Data Analyst - Analog Devices

Analog Devices; Valencia; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Analog Devices seeks a skilled data analytics professional to analyze large, diverse clinical datasets for chronic disease management solutions. You will design rigorous analyses, build scalable data pipelines, and distill insights for stakeholders.

Collaborating across teams, you will demonstrate product efficacy, ensure quality, and communicate results clearly. A Master’s degree in a relevant field and strong programming skills are required for success in this fast-paced environment.

Formación

• Master’s degree in Statistics, Data Science, Electrical Engineering, Computer Science with biomedical application research, Biomedical Engineering or related field.
• Strong foundation in data science, statistics, and hypothesis testing.
• Basic understanding of human physiology.
• Familiarity with wearable sensor signals (bio-potential measurements like ECG) and audio signals.
• Proficiency in programming languages and statistical tools (Python, MATLAB, R).
• Excellent communication and presentation skills.
• Clear communication and ability to thrive in a fast-paced environment.

Responsabilidades

• Analyze and manage large datasets from diverse sources to support chronic disease management solutions.
• Design and perform rigorous statistical analyses to support clinical efficacy and benefits.
• Produce product quality insights for quality assurance in accordance with medical quality management system procedures.
• Construct data pipelines and integrate multiple data streams with cross-functional teams for scalable analysis.
• Communicate findings to stakeholders via reports and presentations.

Conocimientos

Data science

Statistics

Hypothesis testing

Python

MATLAB

R

Communication

Presentation

Adaptability

Educación

Master’s degree in Statistics, Data Science, Electrical Engineering, Computer Science with biomedical application research, Biomedical Engineering or related field

Herramientas

Python

MATLAB

R

Descripción del empleo

In this role you will analyze large, diverse clinical datasets to support chronic disease management solutions. You will design rigorous analyses to demonstrate product efficacy and quality, build scalable data pipelines, and distill insights for stakeholders. You collaborate with cross-functional teams to enable data-driven decisions and communicate findings clearly. This position offers the opportunity to impact healthcare outcomes through robust analytics and cross-disciplinary collaboration.

• Analyze and manage large datasets from diverse sources to support chronic disease management solutions
• Design and perform rigorous statistical analyses to support clinical efficacy and benefits
• Produce product quality insights for quality assurance in accordance with medical quality management system procedures
• Construct data pipelines and integrate multiple data streams with cross-functional teams for scalable analysis
• Communicate findings to stakeholders via reports and presentations
• Master’s degree in Statistics, Data Science, Electrical Engineering, Computer Science with biomedical application research, Biomedical Engineering or related field
• Strong foundation in data science, statistics, and hypothesis testing
• Basic understanding of human physiology
• Familiarity with wearable sensor signals (bio-potential measurements like ECG) and audio signals
• Proficiency in programming languages and statistical tools (Python, MATLAB, R)
• Excellent communication and presentation skills
• Clear communication
• Ability to thrive in a fast-paced environment
• Statistics
• Hypothesis testing