Biotech Engineer, Machine Learning

Houston Methodist•Houston, TX

18d

About The Position

Collaborates with physicians, engineers, and neuroscientists to integrate machine learning solutions into neural prosthetics and interfaces, and continuously iterate and improve upon existing solutions based on clinical feedback and real-world performance. Communicates to collaborating faculty and staff the results, interpretation, and applications of machine learning and statistical models, and other biomathematical tools. Partners closely with clinicians and neuroscientists to ensure algorithms align with scientific and clinical requirements and patient needs. Assists in the training of clinical staff in the use and understanding of developed machine learning solutions. Contributes to supervising and educating students and postdoctoral fellows. Oversees all aspects of the design and application of machine learning and statistical models tailored to specific clinical needs and for the analysis of multimodal clinical and preclinical experiments to draw meaningful insights. Programs and develops algorithms in Phyton and Matlab to implement machine learning and statistical models and develops workflow and data pipeline, as needed, for specified project. Contributes to the conception, design, development, and refinement of all current and novel neural prostheses for the diagnosis and treatment of human disorders. Presents findings, insights, and progress updates to both technical and non-technical stakeholders. Provides on-going technical support to ensure seamless clinical operations of all software and device/prostheses developed. Implements of all quality control methods necessary for reliable data analysis. Ensures all data are managed following ethical guidelines, clinical standards, and data privacy regulations. Documents methodologies, algorithms, and findings in a manner suitable for publication and internal use. Collaborates for the cost analysis and sample size determination of clinical and laboratory experimental research. Develops and applies machine learning applications to data analysis, statistical power and sample size determination, inferential hypothesis testing, algorithm development, data mining and knowledge discovery. Collaborates on selection, purchase, and operation of analysis workstations, software, and data storage systems for the development of machine learning analytical capabilities of the center. Stays up-to-date with the latest advancements in bioengineering, machine learning, and neural prosthetics, and proposes and undertakes new research initiatives based on emerging technologies and techniques. Represents Houston Methodist at academic conferences.

Requirements

PhD Degree in computer science, engineering, mathematics or physics and field
Experience with development of machine learning models and their use in clinical applications.
Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through on-going skills, competency assessments, and performance evaluations
Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles
Skilled in computer programming in Phyton and Matlab
Proficiency in handling large data sets, and data visualization
Proficiency with machine learning and statistics
Ability to prepare academic manuscripts
Assists in grant writing
Ability to work under pressure and balance multiple competing priorities; highly responsive and solution/action oriented
Professional handling of exposure to confidential/sensitive information

Nice To Haves

Database experience (MySQL, PostgreSQL) preferred

Responsibilities

Integrates machine learning solutions into neural prosthetics and interfaces
Communicates results, interpretation, and applications of machine learning and statistical models
Ensures algorithms align with scientific and clinical requirements and patient needs
Assists in the training of clinical staff in the use and understanding of developed machine learning solutions
Supervises and educates students and postdoctoral fellows
Oversees all aspects of the design and application of machine learning and statistical models tailored to specific clinical needs
Programs and develops algorithms in Phyton and Matlab to implement machine learning and statistical models
Develops workflow and data pipeline
Contributes to the conception, design, development, and refinement of all current and novel neural prostheses
Presents findings, insights, and progress updates to both technical and non-technical stakeholders
Provides on-going technical support to ensure seamless clinical operations of all software and device/prostheses developed
Implements of all quality control methods necessary for reliable data analysis
Ensures all data are managed following ethical guidelines, clinical standards, and data privacy regulations
Documents methodologies, algorithms, and findings in a manner suitable for publication and internal use
Collaborates for the cost analysis and sample size determination of clinical and laboratory experimental research
Develops and applies machine learning applications to data analysis, statistical power and sample size determination, inferential hypothesis testing, algorithm development, data mining and knowledge discovery
Collaborates on selection, purchase, and operation of analysis workstations, software, and data storage systems for the development of machine learning analytical capabilities of the center
Stays up-to-date with the latest advancements in bioengineering, machine learning, and neural prosthetics
Represents Houston Methodist at academic conferences