Staff Algorithm Engineer – Emerging Sensing Technologies

This is a fully remote position, open to applicants in California.

📋 Description

• Lead activities related to algorithms, modeling, and simulations that support cutting-edge sensing technologies.

• Create mechanistic, statistical, first-principles, and machine-learning models to gain insights into complex biological and sensing phenomena.

• Design experiments and analytical methods to assess the feasibility and performance limits of technology.

• Collaborate with interdisciplinary teams to pinpoint critical technical opportunities and risks associated with innovative sensing methods.

• Develop simulation environments and predictive models to inform technology investment decisions and development strategies.

• Utilize advanced analytics and machine learning techniques to extract patterns and insights from experimental data.

• Investigate novel sensing concepts and measurement techniques across diverse biological and physical fields.

• Shape long-term technology roadmaps through scientific rigor and effective technical leadership.

• Present findings and recommendations to technical experts, business stakeholders, and senior management.

⛳️ Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Biophysics, Quantitative Biology, Computer Science, Statistics, or a related field with 2-4 years of industry experience; or a Master's degree with 5-7 years of relevant experience.

• Solid foundation in mathematical modeling, simulation, statistics, and machine learning.

• Proficiency in Python, MATLAB, or analogous technical computing environments.

• Proven experience in developing first-principles and predictive models for complex systems.

• Capacity to independently identify technical issues, formulate hypotheses, design analyses, and derive actionable conclusions.

• Strong scientific curiosity and a readiness to explore unfamiliar technical areas.

• Experience in research, advanced development, or technology incubation settings.

• Ability to make progress in the face of incomplete information and shifting requirements.

• Exceptional communication skills, with the ability to convey highly technical concepts to varied audiences.

• Preferred: Background in biosensing, biophysics, physiology, electrochemistry, analytical chemistry, or related areas.

• Experience in developing digital twins, simulation frameworks, physics-informed machine learning models, or computational models.

• Experience in assessing technical feasibility and technology readiness.

• Previous involvement in supporting innovation initiatives, exploratory research, or platform technology development.

• Publications, patents, or other indicators of scientific leadership.

• Experience within regulated industries.

🏝️ Benefits

• A comprehensive benefits package.

• Opportunities for growth on a global scale.

• Access to career development through in-house learning programs and/or qualified tuition reimbursement.