Apply on Employer Site

Houston Methodist · 1 day ago

Biotech Engineer, Machine Learning

Houston, TX

Full-time

Onsite

Senior Level

Houston Methodist is a leading healthcare institution, and they are seeking a Biotech Engineer specializing in Machine Learning. This role involves designing and applying machine learning and statistical tools for analyzing large clinical and preclinical datasets, as well as contributing to the development of neural prosthetics.

Health CareMedical

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

Qualification

Machine LearningStatistical AnalysisPythonMatlabData VisualizationDatabase ManagementAcademic WritingGrant WritingCommunication SkillsProblem Solving

Required

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