SYSNAV

About the Company

SYSNAV provides unparalleled motion tracking for better safety and healthcare decisions.

We develop high precision solutions for motion measurement and location tracking by leveraging our patented magneto-inertial navigation technology.

We design trackers and wearables embedding unique sensor fusion algorithms to deliver reliable 3D motion and trajectory calculation for a variety of challenging environments in pharma, heavy industries, defense & security and automotive.

Using our solutions, customers can accelerate clinical trials, enhance the safety of personnel on their facilities, conduct rescue operations, or increase the reliability of vehicle positioning systems for autonomous driving.

Founded in 2008, with innovation at the core of its DNA, SYSNAV invests strongly in R&D. We employ over a 100 people in Vernon and Paris, France.

Listed Jobs

Company Name

SYSNAV

Job Title

Healthcare Data Scientist - F/H

Job Description

**Job Title:** Healthcare Data Scientist (Intern) **Role Summary:** Join a medical device company’s data science team to develop and validate algorithms that analyze inertial sensor data from wearable devices for neuromuscular disease monitoring. Work on defining clinically relevant metrics, building complex processing pipelines, and improving model performance across multiple pathologies. **Expectations:** - Strong analytical mindset with interest in health‑tech. - Ability to work independently and collaboratively in a hybrid on‑site/remote setting. - Commitment to a 4‑6‑month internship (full‑time). **Key Responsibilities:** - Define and quantify clinical variables (e.g., fatigue, abnormal limb movements, irregular gait). - Design, implement, and maintain data‑processing pipelines for motion reconstruction and analysis. - Model and validate algorithmic outputs using real clinical trial data. - Enhance robustness and performance of existing systems for new disease indications (Parkinson’s, multiple sclerosis, myopathies, etc.). - Document methods and results for regulatory and scientific reporting. **Required Skills:** - Proficiency in Python (or R) for data analysis and machine learning. - Experience with signal processing and time‑series data from inertial sensors. - Knowledge of statistical modeling, validation techniques, and performance metrics. - Familiarity with version control (Git) and reproducible workflow tools. - Strong problem‑solving skills and ability to translate clinical concepts into data features. - Good communication skills in English (French a plus). **Required Education & Certifications:** - Enrolled in or completed a Master’s program (Bac+5) in Engineering, Computer Science, Data Science, Biomedical Engineering, or a related field from a recognized university or Grande École. - No specific certifications required; demonstrated coursework or projects in machine learning, signal processing, or health data analytics preferred.

Vernon, United states

Hybrid

28-01-2026

Company Name

SYSNAV

Job Title

Stagiaire Marketing – Défense et Industrie – H/F

Job Description

**Job Title:** Marketing Intern – Defense & Industry (H/F) **Role Summary:** Support the Business Development & Strategy team for the Defense & Industry sector within a high‑tech inertial sensor company. The role involves creating marketing content, managing CRM data, conducting market research, and assisting in strategic outreach to target industrial, security, and defense clients. **Expectations:** - Complete 4‑6 month internship, engaging in both operational and strategic marketing activities. - Deliver clear, bilingual (French & English) written outputs and presentations. - Demonstrate initiative in researching new market opportunities and developing targeted outreach plans. - Contribute to cross‑functional projects with the sales and strategy teams. **Key Responsibilities:** - Produce marketing collateral (video scripts, client presentations, user guides). - Write articles and LinkedIn posts to promote the PLD solution and related use cases. - Manage CRM database, ensuring accurate contact information and campaign tracking. - Participate in industry events, trade shows, and client meetings. - Analyze target markets (industrial sites, security forces, defense entities) to identify potential clients. - Build and refine targeting strategies, including segmentation and outreach tactics. - Define use‑case requirements and translate them into marketing messages. - Support additional marketing, sales, or strategic initiatives as needed. **Required Skills:** - Strong written and verbal communication in French and English. - Technophile with enthusiasm for cutting‑edge technology. - Curiosity, proactivity, and entrepreneurial mindset. - Attention to detail, rigorous analytical approach, and perseverance. - Ability to conduct market analysis and competitive research. - Experience or knowledge of marketing strategy, business development, or project management. - Familiarity with CRM systems and digital content creation tools preferred. **Required Education & Certifications:** - Current enrollment in a top‑tier business or engineering school (Bac+5/ Master level). - Seeking internship for vacation or final year studies. - No specific certifications required, but knowledge of inbound marketing, digital analytics, or project management methodology is advantageous.

Vernon, France

Hybrid

05-02-2026

Company Name

SYSNAV

Job Title

Healthcare data scientist

Job Description

**Job Title** Healthcare Data Scientist **Role Summary** Analyze and transform raw data from clinical trials using the SYDE medical device. Build robust pipelines and conduct advanced biostatistical analysis to extract clinically relevant variables, generate patient‑level reports, and support decision‑making for therapeutic investigations. **Expectations** - Translate internal device variables into clinically interpretable metrics. - Deliver customized patient reporting for client specifications. - Define and document functional requirements for automated analytics tools. - Collaborate closely with clinical, medical, and external stakeholder teams. - Detect technical issues in analysis workflows and propose effective solutions. **Key Responsibilities** - Ingest continuous data streams from hundreds of patients and preprocess for analysis. - Design and maintain end‑to‑end data pipelines (ETL, aggregation, feature extraction). - Perform exploratory and hypothesis‑driven statistical analyses (regression, survival, etc.). - Create automated reporting dashboards and exportable patient summaries. - Configure and validate analytical software tools to meet regulatory and client standards. - Draft technical proposals, define deliverables, estimate effort, and report progress. - Communicate findings clearly to non‑technical stakeholders and provide actionable insights. **Required Skills** - Programming in Python or R (data manipulation, statistical libraries). - Experience building reproducible data pipelines (SQL, Spark, Airflow). - Proficiency in biostatistics and epidemiology techniques. - Strong analytical mindset and problem‑solving abilities. - Excellent written and verbal communication, stakeholder management. - Fluency in English; French is a plus but not mandatory. **Required Education & Certifications** - Degree from a top engineering/higher education institution or equivalent. - Specialized background in Data Science, Biostatistics, or Clinical Research. - Demonstrated interest in digital transformation of pharma and clinical trials.

Paris, France

Hybrid

23-02-2026

Company Name

SYSNAV

Job Title

Healthcare Data Analyst

Job Description

Job title: Healthcare Data Analyst Role Summary: Analyze and transform large-scale clinical study data from the SYDE medical device, developing pipelines, statistical models, and customized reporting tools to extract clinically relevant variables for neuromuscular and neurodegenerative studies. Collaborate closely with clinicians, biostatisticians, and technical teams to ensure data integrity, interpret results, and support evidence-based decision making. Expectations: - Deliver high-quality, reproducible data analyses that meet client specifications and regulatory standards. - Communicate findings clearly to cross-functional stakeholders and external clients. - Maintain rigorous documentation of methodologies, pipeline configurations, and analytic outputs. Key Responsibilities: - Design and implement data processing pipelines for daily patient data ingestion and variable extraction. - Create personalized reporting systems for individual patient metrics and aggregate study results. - Perform exploratory and confirmatory statistical analyses; interpret and present clinical implications. - Specify functional requirements for automated analysis tools and participate in their development and deployment. - Generate technical solutions for data quality issues and analytical challenges. - Draft technical proposals, define deliverables, and estimate project workloads for multidisciplinary teams. Required Skills: - Proficiency in data engineering (Python, R, SQL, ETL tools). - Strong statistical analysis capabilities (regression, survival, mixed models). - Experience building end-to-end data pipelines and automated reporting workflows. - Knowledge of clinical data structures, including patient‑level longitudinal datasets. - Excellent written and verbal communication; ability to translate complex analyses for non‑technical audiences. - Fluent in English (written and spoken). Required Education & Certifications: - Bachelor’s or Master’s degree from a top engineering or statistics institution, with a focus on data science, biostatistics, or clinical research. - Professional certification in data analytics (e.g., SAS Certified Specialist, R Programming, or equivalent) preferred.

Paris, France

Hybrid

09-03-2026