LifeLens Technologies, Inc. is a medical device developer located in Ivyland, PA. We are pioneering innovative, next-generation treatment devices for personal health monitoring.
We are seeking to hire an Algorithm Developer. In this role, you will have the opportunity to work on cutting-edge technologies designed to revolutionize wearable health care. You have a collaborative mindset and a passion for developing new technology. You are detail-oriented and goal-driven. You are a capable problem solver with excellent organizational skills and superior verbal and written communication skills. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.
This is a full-time, on-site position.
Summary
The Algorithm Developer is a specialized software engineer who designs, analyzes, and implements algorithms to solve complex problems within a system, often focusing on optimizing efficiency and accuracy by creating, testing, and refining algorithms for applications like machine learning, data analysis, and AI, while collaborating with other stakeholders to integrate these algorithms into practical solutions into the Company’s product.
Essential Functions:
Producing meaningful insights and physiologic predictors from sensor data collected by a novel health monitoring system.
Authoring and maintenance of efficient, scalable code intended to derive metrics from both live streaming (e.g. from embedded microcontrollers or cloud) and historical data.
Designing, prototyping, testing, and deploying algorithms and data processing workflows; curating your work from start to finish.
Iterating your work based on both external and internal feedback.
Documenting your work; adhering to quality standards, effectively communicating information to technical and nontechnical audiences, generating impactful visual representations of data, and reporting results to external stakeholders and entities.
Performing statistically-sound analyses of your products and the data you work with.
Collaborating across engineering disciplines to solve problems and improve on existing product.
Working efficiently with a team to meet deadlines and deliver.
Other tasks as assigned
Competencies
Strong foundation in computer science algorithms and data structures
Expertise in programming languages, including Python, Java, C++
Proficiency in machine learning techniques (e.g., supervised learning, unsupervised learning, deep learning)
Mathematical and statistical knowledge
Data analysis and visualization skills
Excellent problem-solving and analytical abilities
Ability to communicate complex technical concepts effectively
Required Education and Experience
Bachelor's degree or master's degree preferred, in computer engineering, computer science, electrical engineering, or related degree.
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