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Remote Biomedical Machine Learning Jobs in Texas

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Blue Cross of Idaho

AI Technical Lead

Meridian, TX · On-site +1

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Develop and deploy machine learning and generative AI solutions that support enterprise use cases.

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

HiddenLayer

AI Red Teamer

Austin, TX · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

ABC Legal Services

Data Scientist

Dallas, TX · On-site +1

$110K - $130K/yr

Role Overview We're seeking a Data Scientist with hands-on experience in machine learning ... Strong self-direction and communication skills suited for a remote work environment Nice to Have

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

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All JobsBiomedical Machine Learning JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in Texas

Remote Biomedical Machine Learning information

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Texas? For Remote Biomedical Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Texas look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Biomedical Machine Learning jobs? Cities in Texas with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you
Research Scientist I, Moody Brain Health Institute

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX • On-site, Remote

Other

Posted 28 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

263rd of 880 rated healthcare providers

Job description

JOB SUMMARY

The Research Scientist will lead research and development focused on digital twin modeling for brain health and health trajectory prediction within the Moody Brain Health Institute. This role involves designing, implementing, and validating computational models that simulate individual brain and health states across the lifespan. The scientist will integrate multi-modal patient data, including neuroimaging, electrophysiology, genomics, digital biomarkers, and electronic health records (EHRs), to create predictive digital twins capable of informing early diagnosis, personalized interventions, and resilience modeling. The position combines data science, neuroscience, and translational health research to advance precision brain health. They will also contribute to development of grant proposals, and scholarly publications.

 

ESSENTIAL JOB FUNCTIONS

         Execute the core's research initiatives, advancing key projects and objectives.

         Design and implement predictive models based on patient data to support research and clinical applications.

         Lead the development of virtual patient models to advance personalized medicine and data-driven research.

         Develop comprehensive data extraction strategies for Electronic Health Record (EHR) data, ensuring efficient and accurate analysis.

         Integrate multi-scale data sources such as neuroimaging, omics, cognitive, behavioral, and EHR data to build comprehensive individual-level representations.

         Present research findings and core activities at both internal and external conferences, symposia, and workshops.

         Support grant applications and publications, highlighting innovations in digital twin technologies for brain health.

         Contribute to infrastructure planning, including computing resources, secure data management, and AI model governance.

         Partner with the core director to plan resources and training for the development of AI tools and technologies.

 

KNOWLEDGE/SKILLS/ABILITIES

         Excellent communication and interpersonal skills with a high degree of professionalism. 

         Experience with high-throughput data analysis.

         Proficiency in AI, deep learning, and data fusion techniques for multimodal health data.

         Familiarity with federated or privacy-preserving learning for healthcare applications.

         Excellent communication and collaboration skills, with the ability to convey complex bioinformatics concepts to non-experts.

         Strong analytical skills and a proactive approach to problem resolution.

         Excellent decision-making skills.

EDUCATION & EXPERIENCE

Minimum Qualifications:

         PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field.

         Proven experience in Artificial Intelligence and/or statistical modeling,

         Familiarity with EHR data extraction, and analysis.

         Excellent communication skills and ability to collaborate with interdisciplinary teams.

 

Preferred Qualifications:

         Experience in working with AI and machine learning models, particularly in the biomedical context.

         Experience in digital twin frameworks, personalized modeling, or health trajectory prediction.

         Proven ability to lead collaborative, data-driven projects across disciplines.

         Prior involvement in leading or managing research projects.


SALARY:
Commensurate with experience. 
 

EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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