Biotech Engineer - Machine Learning - Neuroprosthetics

Key Skills

Agile methodologies, Algorithms, Effective communication skills, Large data sets, Machine learning techniques, MATLAB Programming, MySQL, PostgreSQL, Python Programming, Writing

Job Description

HOUSTON METHODIST EXPERIENCE EXPECTATIONS

• Provide personalized care and service by consistently demonstrating our I CARE values:

INTEGRITY: We are honest and ethical in all we say and do.

COMPASSION: We embrace the whole person including emotional, ethical, physical, and spiritual needs.

ACCOUNTABILITY: We hold ourselves accountable for all our actions.

RESPECT: We treat every individual as a person of worth, dignity, and value.

EXCELLENCE: We strive to be the best at what we do and a model for others to emulate.

• Focuses on patient/customer safety
• Delivers personalized service using HM Service Standards
• Provides for exceptional patient/customer experiences by following our Standards of Practice of always using Positive Language (AIDET, Managing Up, Key Words)
• Intentionally rounds with patients/customers to ensure their needs are being met
• Involves patients (customers) in shift/handoff reports by enabling their participation in their plan of care as applicable to the given job
• Displays cultural humility, diversity, equity and inclusion principles
• Actively supports the organization vision, fulfills the mission and abides by the I CARE values

Responsibilities

PRIMARY JOB RESPONSIBILITIES

Job responsibilities labeled EF capture those duties that are essential functions of the job.

PEOPLE - 20%

• 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. (EF)
• Communicates to collaborating faculty and staff the results, interpretation, and applications of machine learning and statistical models, and other biomathematical tools. (EF)
• Partners closely with clinicians and neuroscientists to ensure algorithms align with scientific and clinical requirements and patient needs. (EF)
• 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. (EF)

SERVICE - 25%

• 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. (EF)
• 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. (EF)
• 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. (EF)
• Provides on-going technical support to ensure seamless clinical operations of all software and device/prostheses developed. (EF)

QUALITY/SAFETY - 20%

• Implements of all quality control methods necessary for reliable data analysis. (EF)
• Ensures all data are managed following ethical guidelines, clinical standards, and data privacy regulations. (EF)
• Documents methodologies, algorithms, and findings in a manner suitable for publication and internal use. (EF)

FINANCE - 5%

• Collaborates for the cost analysis and sample size determination of clinical and laboratory experimental research. (EF)

GROWTH/INNOVATION - 30%

• 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. (EF)
• 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 (EF).
• 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. (EF)

This job description is not intended to be all inclusive; the employee will also perform other reasonably related business/job duties as assigned. Houston Methodist reserves the right to revise job duties and responsibilities as the need arises.

Qualifications

EDUCATION REQUIREMENTS

• PhD Degree in computer science, engineering, mathematics or physics and field

EXPERIENCE REQUIREMENTS

• Experience with development of machine learning models and their use in clinical applications
• License/Certification

CERTIFICATIONS, LICENSES AND REGISTRATIONS REQUIRED

• None
• KSA/ Supplemental Data

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED

• 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
• Database experience (MySQL, PostgreSQL) preferred
• 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