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Remote Biomedical Machine Learning Jobs in Cedar Hill, TX

... Remote Power Panels (RPPs), busway systems, rack-level electrical distribution, grounding and ... Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning ...

Account Executive

Dallas, TX ยท Remote

$150K - $250K/yr

This position is remote for candidates who currently live in the Dallas-Fort Worth area and ... Experience selling AI, machine learning, advanced analytics, or data consulting services is ...

The ideal candidate combines strong technical capabilities in machine learning, statistical ... Remote/Home office (Continually=67-100% of the workday) Travel: * Occasionally, less than 25%

Senior ITSMA Observability Engineer

Dallas, TX ยท On-site +1

$103K - $142K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

SolidWorks Expert - Remote

Dallas, TX ยท Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Data Scientist

Dallas, TX ยท On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Senior Business Analyst (Remote Opportunity)

Dallas, TX ยท Remote

$91K - $118K/yr

Experience supporting AI or machine learning-enabled healthcare solutions, responsible AI and data ... Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive ...

Senior Business Analyst (Remote Opportunity)

Dallas, TX ยท On-site +1

$91K - $118K/yr

Experience supporting AI or machine learning-enabled healthcare solutions, responsible AI and data ... Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive ...

Senior Software Engineer (Remote)

Dallas, TX ยท Remote

$121K - $159K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

Sr. Software Engineer

Dallas, TX ยท Remote

$170K - $220K/yr

Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Showing results 41-60

Remote Biomedical Machine Learning information

See Cedar Hill, TX salary details

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How much do remote biomedical machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote biomedical machine learning in Cedar Hill, TX is $24.73, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $27.93 per hour, depending on experience, location, and employer.

What is a remote biomedical machine learning job?

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 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 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 job categories do people searching Remote Biomedical Machine Learning jobs in Cedar Hill, TX look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Cedar Hill, TX are:

What cities near Cedar Hill, TX are hiring for Remote Biomedical Machine Learning jobs?

Cities near Cedar Hill, TX with the most Remote Biomedical Machine Learning job openings:

Director Electrical Engineering

Integra

Dallas, TX โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago


Job description

Location: Dallas, TX

Department: DEPENG

The Opportunity

The Director of Electrical Engineering is responsible for leading the design, development, implementation, operation, and optimization of electrical infrastructure supporting hyperscale, colocation, and AI-focused data center projects. This position provides strategic and technical leadership for mission-critical electrical systems that support high-density computing environments, GPU clusters, artificial intelligence workloads, machine learning platforms, cloud infrastructure, and next-generation digital technologies.

This role oversees engineering teams responsible for medium- and high-voltage electrical systems, power generation, substations, switchgear, UPS systems, battery energy storage systems (BESS), renewable energy integration, power distribution architecture, energy efficiency programs, and electrical reliability initiatives. The Director ensures all designs meet the highest standards for resiliency, scalability, sustainability, safety, and operational excellence while delivering uptime requirements of Tier III and Tier IV data center environments.

The Director serves as the organization's subject matter expert for mission-critical electrical infrastructure and partners with operations, construction, commissioning, development, sustainability, and executive leadership teams to support strategic growth initiatives.

What you will do?

Develop and execute electrical engineering strategies that support AI, hyperscale, cloud, and mission-critical data center operations while establishing long-term infrastructure roadmaps to meet future AI computing demands and increased rack power densities. This role leads the evaluation and implementation of emerging technologies related to AI infrastructure, electrical resiliency, and energy optimization, and advises executive leadership on infrastructure investments, capacity planning, scalability strategies, and risk mitigation. The Director is also responsible for developing engineering standards, policies, procedures, and design guidelines to ensure consistency, reliability, and operational excellence across the organization. The Director will lead the electrical team and mentor subject matter experts, electrical engineers and designers that support the overall organizational needs.

Electrical Infrastructure Design and Operations Oversight

  • Oversee the design, operation, and reliability of utility service entrance systems, high-voltage transmission connections, substations, transformer yards, medium- and low-voltage distribution systems, generator plants, UPS systems, Battery Energy Storage Systems (BESS), static transfer switches, automatic transfer switches, switchgear, switchboards, Power Distribution Units (PDUs), Remote Power Panels (RPPs), busway systems, rack-level electrical distribution, grounding and bonding systems, arc flash mitigation programs, and power monitoring and energy management systems.

AI and High-Density Computing Infrastructure Support

  • Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning infrastructure, high-performance computing (HPC) systems, large-scale cloud operations, high-density server deployments, liquid-cooled computing environments, direct-to-chip cooling applications, , high-density racks exceeding 50 kW, 80 kW, and 120+ kW capacities, and next-generation power architectures for AI data centers.

Engineering Design and Technical Oversight

  • Lead multidisciplinary engineering teams in the development of conceptual, preliminary, and detailed electrical designs.
  • Review and approve engineering drawings, calculations, and specifications.
  • Ensure compliance with operational resiliency and redundancy standards.
  • Establish electrical design standards for new construction and retrofit projects.
  • Manage engineering support during commissioning and startup activities.
  • Ensure compliance with all client and regulatory requirements.

Reliability and Uptime Management

  • Ensure infrastructure designs meet Tier III and Tier IV reliability objectives.
  • Drive initiatives achieving 99.999% uptime objectives.
  • Manage electrical risk assessments and infrastructure resiliency studies.

Energy and Sustainability Leadership

  • Lead implementation of sustainability initiatives.
  • Evaluate solar, wind, battery, and microgrid technologies.
  • Improve Power Usage Effectiveness (PUE).

Utility and Grid Integration

  • Utilize internal Substation team to manage utility interconnection projects.
  • Support transmission and distribution planning activities.
  • Coordinate electrical capacity expansion efforts.
  • Utilize internal Substation team to lead utility negotiations and infrastructure planning efforts.
  • Review load forecasting and energy demand projections generated by internal team.

Commissioning and Construction Support

  • Support integrated systems testing (IST).
  • Support construction teams during project execution.
  • Verify electrical systems perform as designed before operational turnover.

Supervisory Responsibilities

  • Lead Electrical Engineering Managers.
  • Supervise Senior Electrical Engineers.
  • Oversee Design Engineers and Engineering Specialists.
  • Manage Commissioning Engineers.
  • Develop departmental staffing plans.
  • Conduct performance management and succession planning.
  • Build and mentor high-performing engineering teams.

Required Qualifications

  • Bachelor's Degree in Electrical Engineering from an accredited university.
  • Master’s degree in electrical engineering, MBA, or Master's Degree in Power Systems Engineering.
  • 15+ years of electrical engineering experience,10+ years leading engineering teams within mission-critical environments,
  • Experience supporting hyperscale, colocation, or enterprise data centers.
  • Experience with AI data center infrastructure development.
  • Experience supporting facilities exceeding 50 MW of critical load.
  • Experience with medium-voltage and high-voltage infrastructure design.
  • Experience leading large-scale capital projects exceeding $100M.

Licenses and Certifications Preferred

  • Professional Engineer (PE) License.
  • Certified Energy Manager (CEM).
  • Data Center Certified Associate (DCCA).
  • Data Center Professional (CDCP).
  • Certified Data Centre Expert (CDCE).
  • PMP Certification.

How we support you

We believe your best work happens when you feel supported - professionally, personally, and financially. That’s why we offer a range of benefits designed to help you thrive, stay healthy, and plan for the future.

  • Performance-driven rewards – Competitive pay with incentive opportunities that recognize your results and contributions.
  • Comprehensive healthcare – Medical, dental, and vision coverage that supports you and your family’s total well-being.
  • Security and peace of mind – Life and disability insurance programs that provide protection when it matters most.
  • Flexible benefits options – A variety of voluntary benefits so you can personalize coverage to fit your needs.
  • Time to recharge – Generous paid time off to relax, travel, and maintain a healthy work-life balance.
  • Investing in your growth – Education assistance and tuition support to help you build skills and advance your career.
  • Planning for the future – Retirement and savings programs that help you achieve long-term financial confidence.

Come build with us

At Integra, we’re driven by a vision to transform the data center industry. We specialize in delivering optimized turnkey solutions that bring together speed, quality, and reliability - helping our clients build and operate the mission-critical infrastructure that powers today’s digital world. Integra is a vertically integrated company - owning and managing every phase of the process from site selection and design to manufacturing, procurement, commissioning, and warranty. This approach allows us to move faster, solve challenges more efficiently, and deliver exceptional outcomes for our partners.

What truly sets Integra apart is our people. We are a team of problem-solvers, engineers, builders, and operators who thrive on tackling complex challenges and delivering results. Our culture values collaboration, accountability, and continuous improvement - because in a rapidly evolving digital landscape, excellence and adaptability matter.

Joining Integra means being part of a company that is shaping the future of data center infrastructure. If you’re passionate about innovation, impact, and building systems the world depends on, you’ll find the opportunity to grow and make a difference here.

Equal Opportunity Statement

Integra provides equal employment opportunities for all people. No employee or applicant for employment will be discriminated against because of race, creed, origin, marital status, sexual orientation, age, otherwise qualified disabled or veteran status or any other characteristic protected by law. If you are a qualified applicant who requires reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, please contact talent_acquisition@integra.com