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Primary Purpose

The Biomedical Signal Engineer role is part of the Biomedical Engineering Team within the Digital Health (DH) Organization. This role is for a biomedical signal engineer with expertise in the areas of biomedical engineering, sensor technology, signal processing and data analytics, targeted at developing research capabilities to validate biomedical wearable sensors and digital health technologies (DHTs) for clinical trial applications. For example, the candidate may be asked to develop research capabilities and operate lab equipment to study human motion sensors and other DHTs. The candidate should be proficient in operating biomedical research devices, developing signal processing pipelines and analytical tools. Background in the technologies of motion capture system, actigraphy, inertial-measurement-unit (IMU), photoplethysmography, electrocardiography and other signals is required. This role will leverage Lilly Centre for Clinical Pharmacology (LCCP) in Singapore and DH resources in collaboration with internal team members to develop research capabilities for DHTs. This position will partner, as necessary, with DH Clinical Operations, Data Engineering and Medical Research to support DHT studies and evaluate results.

ResponsibilitiesDevelop and manage DHT testing capabilities

Develop biomedical testing capabilities for DHTs by collaborating with senior Biomedical Engineering members, manage the lab space and equipment, handling DHTs for in-house testing.

Assist in developing in-house evaluation tests and user acceptance tests (UATs) for related DHTs.

Assist in managing and setting up in-house evaluation tests, including scheduling sessions and monitoring participants.

Support data preparation and analysis for in-house evaluations and UATs.

Develop biomedical signal analysis capabilities

Collaborate with senior Biomedical Engineer members to conduct testing over multiple DHTs and integrate biomedical data into advanced analytics platforms.

Design, develop, and maintain data pipelines and workflows to process biomedical datasets.

Utilize Python and R for data wrangling, analysis, and visualization to support research and development initiatives.

Apply principles of biomedical engineering to solve problems related to signal processing, imaging, and physiological data interpretation.

Ensure the quality, security, and scalability of biomedical data solutions.

Perform exploratory data analysis and generate insights to inform product development and clinical research.

Stay updated on emerging technologies and methodologies in biomedical data engineering and analytics.

Basic Qualifications

Ph.D Degree in Biomedical, Mechanical, or Electrical Engineering

OR

Master’s Degree with the following work experience:

3+ years of experience in testing of human movement, human physiology

3+ years of experience working with and programming digital sensors

2+ years of experience conducting signal processing analytics

2+ years of experience using computer programming skills

Additional Skills/Preferences

Experience working in a gait lab and performing biomechanics studies with motion capture system and related devices

Experience with image analysis and research in body composition, skin and wound image analysis, or other research areas to extract scientific content from photographs

Experience working in a sleep lab and performing sleep studies with PSG systems and other related devices

Experience performing IMU, PPG, and ECG signal processing, gross and fine motor function analysis, including gait

Experience working with time series data for signal processing, visualization, analysis and reporting using tools such as Python, R

Have a cutting-edge understanding of latest sensor technologies and trends used for identification of digital biomarkers, and development of and research on digital registries

Working knowledge in drug development and clinical development

Working knowledge of data engineering, database management, statistical analysis, and visualization tools to analyze complex data sets

Data management experience in the pharmaceutical industry specific to the remote and continuous collection of patient data through devices such as sensors and applications

Excellent communication, interpersonal and team building skills (e.g., effective coaching and feedback)

Excellent self-management and organizational skills. Able to manage a diverse workload, set personal priorities and adjust as needed

Must be able to manage working with many different teams with varying styles, issues, complexity, and in a virtual manner as needed

Strong problem-solving, risk management and decision-making skills. Able to anticipate and recognize problems, diagnose root causes, solve unique and complex problems

Strong ethics, patient-focused approach and ability to earn credibility and trust

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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