Position: Data & Investigation Engineer

About us

LTS is a leading pharmaceutical technology company that develops and manufactures innovative drug delivery systems for the pharmaceutical industry.

LTS´ commercial offering encompasses more than 20 marketed products.

LTS operates today from 5 sites: Netanya (Israel), Adrenarche (Germany), West Caldwell (NJ, USA), St. Paul (MN, USA), and Shanghai (China).

About the role

We are looking for an excellent Data & Investigation Engineer to join our team in Israel.

The position is permanent, full time, hybrid.

Responsibilities:

• Support a tiered investigation framework to resolve technical failures, focusing on streamlining workflows to accelerate the resolution process.
• Identify root causes of multidisciplinary system failures across Hardware, Software, and Mechanics using physical engineering principles.
• Conduct technical investigations into device behavior, utilizing laboratory tools and diagnostic jigs to extract and normalize forensic data.
• Contribute to data strategies by processing system logs, testing activities, and production line metrics.
• Develop data models and anomaly detection algorithms to identify failure trends and optimize production stability.
• Map digital signals and log signatures to physical engineering events through semantic data mapping.
• Assist in building data pipelines to convert raw system data into structured, analysis-ready formats.
• Communicate analytical findings and forensic insights to stakeholders to drive strategic improvements.

Direct Manager: Data and Investigation team leader

Job Requirements:

• Education: B.Sc. in Biomedical Engineering or Computer Science with a focus on data science.
• Professional Experience: Up to 2 years of experience in R&D, failure investigations, or laboratory work (Medical Device experience is an advantage).
• Analytical Experience: Experience or academic projects involving data analysis and predictive modeling in a research or production environment.
• Job skills:
• Strong analytical capabilities and a structured, root-cause-oriented mindset.
• Proficiency in Python for data analysis and automation (Pandas, NumPy, Scikit-Learn).
• Understanding data engineering principles and building structured data pipelines.
• Ability to define algorithm requirements, inputs/outputs, and edge cases.
• Knowledge of basic statistics, data visualization, and Statistical Process Control (SPC).
• Strong technical writing and communication skills in English.
• Computer skills: Full control of all MS-Office applications including Microsoft project
• Language skills: Fluent English
• Personality:

At LTS, we value collaboration, innovation, and accountability.

We're looking for individuals who can:

• Teamwork: Collaborate effectively, embracing diverse perspectives.
• Customer Focus: Exceed internal and external customer needs.
• Innovation: Create new opportunities with enthusiasm.
• Accountability: Take ownership of challenges, uphold standards.
• Leadership: Motivate and develop talents, achieving goals.