Senior Research Engineer - Data Analytics

The Senior Research Engineer (Sr RE) is part of the Scientific Affairs team at ATEC. The Sr RE has a degree in engineering or relevant sciences and is responsible for design, development, and organizing data analytics research activities related to ATEC products. In this capacity the Sr RE works closely with the Clinical Research, R&D, Regulatory Affairs, and Marketing teams at ATEC.

Essential Duties and Responsibilities

• The Sr RE participates in defining the various research activities in order to demonstrate the value of ATEC products.
• Develop data analytics, machine learning, and deep learning algorithms for variety of data types including but not limited to medical images, clinical data, waveforms, and other biological data sources.
• Manages various aspects of research studies, from design, writing protocols, data collection and analysis, study reports and documentations, validation and verification, and publications.
• Responsible for identifying use cases of datasets to be leveraged through our product capabilities, and work closely with the development team in integrating data products.
• Develops exploratory algorithms and proofs of concept that can inform internal and external research and/or guide development with incorporation of these solutions in ATEC software products.

Requirements

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Proficient in one or more programming software and languages including Python, MATLAB, R, C++.
• Proficient in scientific writing
• Proficient in code documentation and familiar with good machine learning practices.
• Superior problem-solving skills with a solid understanding of scientific research and analytical methods.
• Knowledge of medical imaging systems, medical images, medical image analysis, sensors, and related data processing.
• Experience in multimodal data analysis, machine learning, deep learning and statistical learning
• Expertise in data management and working with databases.
• Experience in peer-reviewed literature retrieval and publishing.
• Clinical research experience, including protocol development, particularly in orthopedics/spine, is a plus.
• Experience in validation and verification, interaction with FDA, and creating the associated technical reports.
• Ability to exercise independent judgment consistent with department guidelines.
• Ability to learn and maintain knowledge of procedures, products, and activities in assigned areas.
• Superior organization skills, attention to detail, and the ability to keep accurate records.
• Team player and collaborative
• Performs other duties as required.

Education and Experience

Minimum Master of Science degree in engineering (mechanical engineering, bioengineering, biomedical engineering, or related fields) with at least five years of experience, or a PhD in engineering or sciences with at least three years of work or independent research experience.

For roles based in the United States that require access to hospital facilities, must be eligible for and maintain credentials at all required hospitals, including meeting any applicable physical requirements or vaccination requirements (including the COVID-19 vaccine, as applicable).

ATEC is committed to providing equal employment opportunities to its employees and applicants without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender expression, or any other protected status in accordance with all applicable federal, state or local laws. Further, ATEC will make reasonable accommodations that are necessary to comply with disability discrimination laws.

Salary Range

Alphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate’s qualifications, education, skill set, years of experience, and internal equity. $105,000 to $120,000 Full-Time Annual Salary