Research Assistant - Biomedical Data & ML Labwork

ELEVATE CLINICAL RESEARCH, INC.; Houston (TX); On-site; USD 42,000 - 65,000; Full time

Job summary

Elevate Clinical Research, Inc. in Houston, TX invites applications for a Research Assistant to support data-driven healthcare studies and experimental protocols.

The role involves collecting, processing, and analyzing complex datasets to inform clinical practices and health policy decisions, collaborating with interdisciplinary teams to design and implement methodologies including computational and laboratory techniques.

Qualifications

• Proficiency in data collection methods and lab techniques including gel electrophoresis.
• Experience with programming and data analysis tools such as TensorFlow, NumPy, and SPSS.
• Basic understanding of algorithms, neural networks, and deep learning concepts.
• Strong organizational skills and attention to detail in managing research data.

Responsibilities

• Conduct comprehensive data collection through field research and laboratory experiments, ensuring accuracy and reliability.
• Utilize software tools such as TensorFlow, NumPy, and SPSS to preprocess, analyze, and visualize research data.
• Develop and implement algorithms and deep learning models to analyze complex biological datasets.
• Perform gel electrophoresis and other laboratory techniques to support experimental research objectives.
• Collaborate with research team members to design experiments, interpret results, and prepare reports and publications.

Skills

Data collection

Lab techniques

Neural networks

Data management

Education

Master’s degree in health data analytics / computational biology

Tools

TensorFlow

NumPy

SPSS

Job description

Elevate Clinical Research, Inc. in Houston, TX invites applications for a Research Assistant to support data-driven healthcare studies and experimental protocols.

The role involves collecting, processing, and analyzing complex datasets to inform clinical practices and health policy decisions, collaborating with interdisciplinary teams to design and implement methodologies including computational and laboratory techniques.