Clinical Data Analyst

Analog Devices; Valencia; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Analog Devices is seeking a Clinical Data Analyst to analyze large clinical and product datasets and deliver rigorous statistical insights. You will support the development of chronic disease management solutions and engage cross‑functional teams to enable scalable analysis.

The role requires a strong foundation in statistics and data science, experience with wearable sensor data, and excellent communication skills for presenting findings to medical professionals and internal teams.

Formación

• Master’s degree in Statistics, Data Science, or related field with biomedical applications.
• Strong foundation in data science, statistics, and hypothesis testing.
• Experience with wearable sensor signals (e.g., ECG) and biomedical data is a plus.
• Excellent communication and presentation skills for stakeholder engagement.

Responsabilidades

• Analyze and manage large datasets from clinical and product sources.
• Design and perform rigorous statistical analyses for clinical efficacy.
• Produce quality insights to support QA and medical quality systems.
• Construct data pipelines and integrate multiple data streams.
• Communicate findings to stakeholders via reports and presentations.

Conocimientos

Data analysis

Statistical methods

Communication

Cross-functional collaboration

Educación

Master’s degree in Statistics

Biomedical Engineering

Herramientas

Python

MATLAB

R

Descripción del empleo

Clinical Data Analyst

Essential Duties and Responsibilities

• Analyze and manage large datasets from diverse sources—including deployed products, clinical studies, patients EMR/EHR, and internal R&D—to support the development of chronic disease management solutions.
• Design and perform rigorous statistical analyses to generate solid insights to support clinical efficacy and benefits of the product
• Produce product quality insights that support quality assurance activities in accordance with medical quality management system procedures.
• Construct data pipelines and engage data cleaning and organization by integrating multiple data streams in collaboration with cross-functional teams to enable efficient analysis at scale.
• Communicate findings effectively to stakeholders through clear, actionable reports and presentations.

Minimum Qualifications

• Master’s degree in Statistics, Data Science, Electrical Engineering, Computer Science with biomedical application research, Biomedical Engineering or a related field.
• Strong foundation in data science, statistical methodologies, and hypothesis test design.
• Basic understanding of human systems physiology.
• Familiarity with wearable sensor signals, including bio-potential measurements (e.g., ECG) and audio signals.
• Proficiency in programming languages, basic engineering tools, and statistical tools (e.g., Python, MATLAB, R, and etc.).
• Excellent communication and presentation skills for engaging both external medical professionals and internal multidisciplinary teams.

Additional Desirable Skills, Knowledge, and Abilities

• Experience in publishing clinical journal articles is a plus
• Experience collaborating with medical professionals / clinicians.
• Ability to thrive in a fast-paced, dynamic work environment.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days