clinical coordinator

clinical research assistant Jobs in Houston

clinical research assistant

clinical research coordinator Jobs in Houston

clinical research coordinator

clinical research coordinator 1 yr. exp req. Jobs in Houston

clinical research coordinator, mh rx study Jobs in Houston

research study coordinator

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader">Summary</h2></div><div>
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor &ndash; Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling. 
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><ul><li>
Oversee and coordinate logistics and execution of various research projects.</li><li>
Manage project progress and execution of project goals and milestones.</li><li>
Plan and direct research experiments.</li><li>
Organize, evaluate, and analyze data with other researchers.</li><li>
Develop research techniques and perform applications required for specific research projects.</li><li>
Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>
Document results of experiments and reports to principal investigators.</li><li>
Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>
Write progress reports, manuscripts and grant proposals.</li><li>
Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>
Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>
Ph.D. in computer science, data science, medical informatics, or related field.</li><li>
Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</li></ul></div></div></div> 
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</div>

Assistant Professor - Artificial Intelligence and Data Scientist

Arctoris

Job Overview Job Title: Procurement Assistant (Remote) Location: Houston, Texas, United States (Remote) Employment Type: Full-time and Part-time positions available Salary: $25 - $30 USD per hour Arctoris is a leading biotechnology organisation at the forefront of accelerating drug discovery. Headquartered in Oxfordshire, UK, we leverage laboratory automation, robotics, and data science to enhance the speed and quality of early-stage research for our global partners. We are seeking a diligent and highly organised Procurement Assistant to join our growing team. This is a fantastic opportunity for a proactive individual to support our mission-critical procurement functions in a dynamic and innovative scientific environment. The successful candidate will play a vital role in ensuring our scientific teams have the necessary supplies and equipment to drive groundbreaking research. Responsibilities * Assist the procurement team with the day-to-day purchasing of laboratory consumables, reagents, and equipment. * Create, process, and track purchase orders from requisition to delivery, ensuring accuracy and timeliness. * Liaise with internal stakeholders, including scientists and laboratory managers, to understand their procurement needs and specifications. * Communicate with suppliers to obtain quotes, confirm order details, and resolve any shipment or invoicing issues. * Maintain accurate and up-to-date records of all procurement activities, including supplier information, pricing, and order history. * Monitor stock levels of key supplies and assist in inventory management. * Support the negotiation of terms with new and existing suppliers to secure advantageous conditions. * Assist in preparing reports on procurement metrics, such as spending and supplier performance. Qualifications * Proven experience in a procurement, purchasing, or a similar administrative role. * Exceptional organisational skills with a keen eye for detail. * Strong written and verbal communication skills, with the ability to liaise effectively with colleagues and external partners. * Proficiency in Microsoft Office Suite (particularly Excel) or Google Workspace. * Ability to work independently and manage multiple tasks effectively in a remote setting. * A proactive and problem-solving mindset. * Experience within the biotechnology, pharmaceutical, or a related scientific industry is highly desirable but not essential. * Familiarity with procurement software or Enterprise Resource Planning (ERP) systems would be an advantage. Benefits * A competitive hourly wage of $25 - $30 USD. * The flexibility of a fully remote position. * Both full-time and part-time opportunities to suit your lifestyle. * The chance to be part of a pioneering company that is transforming drug discovery. * A collaborative and forward-thinking work environment where your contribution is valued.

Procurement Assistant (Remote) - Part Time & Full Time

Deloitte

<div>
 Three hundred fifty million Americans rely on a healthcare system whose decision-making has become slow, costly, and adversarial - care delayed by prior authorization and paperwork, claims that misfire, clinical decisions made without the right information at the right moment, and patients who struggle to navigate or afford the care they need. Deloitte has a new AI-first effort, backed by $1B in committed investment, building the reasoning models and agentic systems to rebuild how that system decides - across payers, providers, and life sciences, and for the patients they serve - so that care is faster, fairer, and far less wasteful. This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery behind American healthcare, at national scale.
 
 
 This is an early, well-funded build. You will own agent systems end to end - from architecture through production - and your work ships into live clinical and operational settings within your first months, not into a lab.
 
 
 As an Agentic AI Engineer, you will design, build, and operationalize the LLM- and SLM-powered systems behind real healthcare decisioning - the reasoning, orchestration, retrieval, memory, and control layers that let intelligent agents operate reliably across the hardest decisions in the industry: clinical reasoning, prior authorization and claims integrity, care navigation, and the operational workflows that run across payers, providers, and life sciences. This is not a prompt-only role. We are looking for builders who think deeply about system behavior, grounding, and reliability where a wrong action has real consequences for patients and the clinicians who serve them.
 
 
 You do not need a healthcare background. We pair every engineer with clinical and domain experts and teach you the domain - you bring the agentic engineering depth.
 
 
 We hire on demonstrated depth, not years - the level you join at is determined through our interview process, based on the depth and judgment you demonstrate, not your years in a title.
 
 
 Work you'll do
 
 
 Agent architecture &amp; orchestration
 
 
 <ul>
 <li>
 Design and implement agentic systems capable of multi-step reasoning, planning, tool use, and workflow execution against complex, regulated operational processes.
 </li>
 <li>
 Build stateful workflows using frameworks such as LangGraph and LangChain - including branching, retries, self-correction, human-in-the-loop checkpoints, and reusable orchestration patterns.
 </li>
 <li>
 Engineer for long-horizon reliability - multi-step task completion, recovery from compounding errors, planning under uncertainty, and robust tool use when individual steps fail.
 </li>
 <li>
 Build the reasoning behind regulated decisions - policy- and criteria-grounded outputs, structured proposer/critic/judge-style review, and auditable rationales for high-stakes decisions across the industry, from clinical review and prior authorization to claims integrity and care management.
 
 
 </li>
 </ul>
 Retrieval, grounding &amp; context engineering
 
 
 <ul>
 <li>
 Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies.
 </li>
 <li>
 Engineer memory and context management - conversational state, persistent memory, retrieval-aware context assembly, and token-efficient context selection.
 </li>
 <li>
 Apply modern context-delivery patterns (e.g., MCP-style tool/context interfaces) so agents access the right information at the right time.
 
 
 </li>
 </ul>
 Reliability, evaluation &amp; safety
 
 
 <ul>
 <li>
 Implement observability and tracing for prompts, tool calls, retrieval quality, agent traces, failures, drift, latency, and production behavior.
 </li>
 <li>
 Apply guardrails, safety controls, and failure-handling to reduce hallucinations and unsafe actions.
 </li>
 <li>
 Evaluate agents at the trajectory and task level - multi-step task success, failure-mode and regression analysis, and sandboxed test environments - alongside retrieval- and generation-quality metrics, automated checks, and human review.
 </li>
 <li>
 Engineer healthcare-grade safety - deployment eval gates, human-oversight and escalation models, auditability and traceability for regulated decisions, and PHI/HIPAA-aware data handling.
 
 
 </li>
 </ul>
 Integration &amp; production craft
 
 
 <ul>
 <li>
 Build integrations with internal and external tools, APIs, enterprise systems, databases, and model providers so agents operate safely within real business workflows.
 </li>
 <li>
 Deliver production-quality code with strong practices in testing, CI/CD, logging, versioning, and documentation; make architecture decisions that balance quality, safety, latency, cost, and model risk.
 </li>
 <li>
 Partner with our modeling and post-training engineers to improve model behavior for tool use, grounding, and long-horizon reasoning - through evaluation-driven feedback and, where it helps, fine-tuned or reasoning-optimized models.
 </li>
 <li>
 Translate ambiguous, high-complexity operational processes into robust system logic and reusable AI patterns; stay current with advances in agentic systems and translate research into practical engineering decisions.
 
 
 </li>
 </ul>
 The team
 
 
 Deloitte brings together AI researchers, modeling and platform engineers, architects, clinical and domain specialists, and product leaders to build, deploy, and operate verticalized AI systems across software, data, models, and cloud infrastructure - engineered for one of the most complex operating environments in the world. The work spans the healthcare industry - payers, providers, and life sciences - and involves genuinely hard reasoning problems, nuanced operational workflows, and a high bar for reliability, with little tolerance for shallow or unreliable outputs. We pair frontier AI research with production-grade engineering, and we ship into real clinical and operational settings rather than leaving models in the lab.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, Computational Linguistics, or a related field.
 </li>
 <li>
 Demonstrated depth building and shipping production agentic systems - this is your primary craft, not a recent exploration. We weigh shipped systems, research, model releases, and open source over years in a title; expect strong software/ML fundamentals plus substantial, recent hands-on agentic work.
 </li>
 <li>
 Strong, hands-on experience building production agent systems with modern orchestration - LangGraph/LangChain or equivalent, including custom orchestration.
 </li>
 <li>
 Experience designing and optimizing end-to-end RAG systems: indexing, retrieval, reranking, grounding, and evaluation.
 </li>
 <li>
 Strong understanding of memory and context management, including context windows, retrieval-driven context assembly, persistent memory, and high-signal context selection.
 </li>
 <li>
 Deep, practical understanding of LLM behavior - strengths, limitations, hallucination risks, reasoning constraints, and latency/cost trade-offs - and the evaluation methods used to measure them.
 </li>
 <li>
 Experience evaluating and debugging agent behavior - task-success and trajectory analysis, not just output quality.
 </li>
 <li>
 Strong Python engineering skills and modern software practices: testing, CI/CD, version control, and API integration; experience implementing observability, tracing, and debugging for LLM-based systems in production.
 </li>
 <li>
 Hands-on experience with at least one frontier model platform (e.g., Anthropic, Google, OpenAI) and/or open-weight/self-hosted models (e.g., Llama via vLLM), including production tool use and agent capabilities.
 </li>
 <li>
 Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve.
 </li>
 <li>
 Limited immigration sponsorship may be available.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with multi-agent systems and agent collaboration patterns.
 </li>
 <li>
 Familiarity with vector databases and retrieval infrastructure such as Pinecone, Weaviate, or Milvus.
 </li>
 <li>
 Exposure to model adaptation and fine-tuning techniques such as LoRA or QLoRA.
 </li>
 <li>
 Understanding of traditional NLP concepts: tokenization, semantic similarity, entity extraction, summarization, and transformer fundamentals.
 </li>
 <li>
 Experience operating in highly regulated, high-stakes, or operationally complex environments; healthcare exposure - clinical, payer, or life-sciences workflows, or standards such as FHIR - is a plus, not a requirement.
 </li>
 <li>
 Demonstrated habit of staying current with AI research, benchmarks, and emerging engineering patterns.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 Base salary is benchmarked to leading technology companies rather than traditional consulting scales, and the role carries a substantial performance-based incentive opportunity designed to grow with the value you help create - startup-style upside, with the backing of a committed, well-capitalized platform. The estimated base salary range is $110,700-$372,900 (not adjusted for geographic differential); actual base pay depends on your skills, experience, and level, and you may also be eligible for a discretionary annual incentive based on individual and organizational performance.
</div>

Agentic AI Engineer — Healthcare AI

Robots & Pencils

<div>
 
 This position will be onsite in Houston 50% of the time.
 
 
 
 We&rsquo;re looking for a Staff AI Engineer to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.
 
 
 In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You&rsquo;ll be joining real, in-flight work where reliability, security, and scalability are critical. You&rsquo;ll establish engineering standards, raise the bar on how we build AI systems, and contribute to the technical decisions that shape how our AI work scales over time.
 
 
 
 Why This Role Matters
 
 
 
 At Robots &amp; Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.
 
 
 Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Craft &amp; Delivery
 
 
 
 <ul>
 <li>
 Lead the design and implementation of complex ML/AI systems end-to-end, owning architecture decisions and driving solutions from research through production at scale
 </li>
 <li>
 Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams
 </li>
 <li>
 Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Partner with product, engineering, and leadership to shape AI strategy and align technical direction with business outcomes
 </li>
 <li>
 Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders
 </li>
 <li>
 Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team
 
 
 </li>
 </ul>
 
 Leadership &amp; Influence
 
 
 
 <ul>
 <li>
 Define AI architecture and engineering standards, bringing depth on tradeoffs, long-term implications, and responsible AI practices
 </li>
 <li>
 Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems
 </li>
 <li>
 Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development
 </li>
 <li>
 Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems
 </li>
 <li>
 Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings
 </li>
 <li>
 Proven track record designing and shipping complex agentic systems in production environments
 </li>
 <li>
 Mastery of AI frameworks and orchestration tools
 </li>
 <li>
 Strong experience with evaluation frameworks and observability tools for LLM apps, including building these capabilities where they don't yet exist
 </li>
 <li>
 Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
 </li>
 <li>
 Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval techniques
 </li>
 <li>
 API design experience, including architecting and integrating with internal and third-party services at scale
 </li>
 <li>
 Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization
 </li>
 <li>
 Strong working knowledge of Docker and Kubernetes for containerized deployments
 </li>
 <li>
 Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor
 
 
 </li>
 </ul>
 The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $
 
 $177,375 &ndash; $209,625 USD
 
 .  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
 
 
 An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
</div>

Staff AI Engineer

TC Energy

<div>Determined, imaginative, curious&mdash;if these are some of the ways you describe yourself, we want to learn more about you!
At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.
The Opportunity
The Facilities, Reliability &amp; Integrity (FRI) team provides technical governance and expertise for technical disciplines that are critical to the design, construction and operation of TC Energy assets. The team comprises technical subject matter expertise to resolve the most complex problems across the enterprise and influence external industry codes and standards that support TC Energy&rsquo;s business.
The team is evolving to meet the demands of the business and the Facilities and Reliability mandate. We are seeking a Senior Mechanical Engineer who has deep industry experience and technical knowledge in the mechanical engineering design, commissioning and operations of reciprocating and turbomachinery compression equipment. In addition, we are looking for asset management and reliability centered maintenance expertise to advance our maintenance strategies.
The successful candidate will have proven skills and competencies to act as a technical authority on reciprocating equipment and turbomachinery standards, advise BU engineering teams to resolve complex technical issues, assure the effectiveness and improve specifications and standards, and represent TC Energy on code committees and industry forums to influence industry requirements and recommended practices.
What you&rsquo;ll do<ul><li>
Act as Subject Matter Expert (SME) for engineering specification and standards relating to the pre-qualification, design, commissioning, operation, maintenance and repair of reciprocating equipment and turbomachinery on TC Energy assets. Assets supported will be across our natural gas pipeline business units in Canada, US, and Mexico.</li><li>
Resolve internal variance requests and feedback submissions on reciprocating equipment and turbomachinery standards and specifications.</li><li>
Maintain and improve engineering standards based on performance information such as variance trends, feedback, incident corrective actions, lessons learned, and opportunities for improvement.</li><li>
Collaborate with Technical Services teams to maintain and report an enterprise view of key technical risks and performance relating to the reciprocating and turbomachinery equipment and connected systems.</li><li>
Monitor critical activities across the enterprise, and support and implement assurance activities to verify that standards are managing key technical risks.</li><li>
As part of assurance activities, provide independent peer review of project deliverables to evaluate the compliance, quality and value of engineering delivery and implementation of turbomachinery standards.</li><li>
Act as a Subject Matter Expert on a cross functional team advancing the enterprise probabilistic reliability modelling framework, data collection techniques and asset management strategies.</li><li>
Quantify site and fleet-level operational reliability/availability gaps as it compares to the commercial requirements to meet throughput demand and enable value-based maintenance capital allocation across large pipeline facility infrastructure.</li><li>
Explore industry best practices and commercially available RAM-Performance modeling tools to model the facilities including a data driven framework for maintenance, upgrade and obsolescence strategy to improve reliability while optimizing cost, risk, and performance as a future step.</li><li>
Act as the business owner of enterprise tools that support the implementation of performance management and long-term maintenance strategy of reciprocating equipment and turbomachinery.</li><li>
Collaborate with and provide technical advisory support to project engineering teams, engineering service providers and equipment vendors on complex technical issues relating to reciprocating equipment and turbomachinery in project and construction phases.</li><li>
Advise BUs on procurement strategies, pre-qualification, contractual relationships, and performance management of key reciprocating and turbomachinery vendors.</li><li>
Initiate and lead research and development projects to improve equipment design, engineering standards and/or methods.</li></ul>
Minimum Qualifications<ul><li>
University degree in Mechanical Engineering and professional engineer (PE) with applicable governing body.</li><li>
Minimum of 10 years of progressive relevant experience.</li><li>
In depth knowledge of applicable industry regulations, codes and standards applicable to turbomachinery and relevant ancillary support systems.</li><li>
Experience in the development and management of engineering standards, specifications and procedures.</li><li>
Technical experience in engineering design, design oversight and quality assurance.</li><li>
Owner&rsquo;s Engineer experience in managing turbomachinery vendors and vendor relationships.</li><li>
Ability and willingness to travel to project or equipment vendor sites as required. Travel within North America is required.</li></ul>
Preferred Qualifications<ul><li>
Certified Maintenance &amp; Reliability Professional certification from SMRP is considered an asset.</li><li>
Engineering expertise in reciprocating equipment and turbomachinery is an asset. Preferred areas of expertise include: gas turbine and component design, equipment manufacturing and fabrication methods and quality standards, thermal performance, combustion and emissions performance, rotor-dynamics, and materials and metallurgy particular to gas turbines, reciprocating drive and compression equipment.</li><li>
Experience with data analytics, AI agents and prompt development, performance monitoring and engine model diagnostics.</li><li>
Extensive field commissioning experience and knowledge of startup processes considered an asset.</li><li>
Experience with modern condition monitoring and prognostic analytical methods and their applicability to reciprocating equipment and turbomachinery.</li><li>
Ability to support complex operability and failure investigations, when required, as a Subject Matter Expert (SME).</li><li>
Driven to achieve technical and business results balancing the needs of customers within technical, safety and regulatory boundaries.</li><li>
Ability to build relationships with stakeholders and partner groups.</li><li>
Demonstrated ability to clearly and effectively communicate complex issues to different levels of leadership.</li><li>
Self-motivated and organized with strong time management skills.</li><li>
Outstanding collaboration, interpersonal and communication skills with the ability to lead engagement with stakeholders and SMEs across the organization.</li><li>
Strong negotiation and conflict management skills</li></ul>
To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico.
About our business
We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs&mdash;moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.
TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.
All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.
Learn more
Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.
Thank you for considering TC Energy in your career journey.</div>

Reciprocating Equipment and Turbomachinery Engineer - US

Explore 5+ Research study coordinator in Houston this September. Find roles across top companies and apply now to boost your career.

5 research study coordinator jobs In Houston

Assistant Professor - Artificial Intelligence and Data Scientist

Procurement Assistant (Remote) - Part Time & Full Time

Agentic AI Engineer — Healthcare AI

Staff AI Engineer

Reciprocating Equipment and Turbomachinery Engineer - US