H

Harrison.ai

AI diagnostic solutions for radiology, pathology

People Experience Lead

Part-Time
$100k - $150k/yr
Senior
Bachelor's
Remote in USA
RemoteRemote role; candidates must be US-based.
People & HRHR Generalist & Employee Relations

About the job

Requirements
  • At least 5 years of generalist HR/People experience, including time in a senior or lead capacity.
  • Be US-based and have hands-on multi-state US employment experience across employee relations, compliance, benefits, and leave.
  • Have experience supporting clinician populations, such as radiologists, physicians, or other licensed clinicians, in a health system, teleradiology, or telehealth setting.
  • Have demonstrated experience partnering with senior leaders and executives to shape and deliver people strategy.
  • Have deep, hands-on expertise across the full employee lifecycle, including talent, performance, remuneration, engagement, and employee relations.
  • Have strong coaching and mentoring skills, with a track record of building capability in others without direct management authority.
  • Have sound judgement and discretion when handling complex, sensitive, and confidential people matters, and be able to prioritize across three days.
Responsibilities
  • Partner with the Chief People Officer to shape and deliver the people vision, strategy, and priorities for the US team.
  • Deliver end-to-end generalist support across the US employee lifecycle, including partnering, onboarding, performance, development, remuneration cycles, engagement, and offboarding.
  • Advise and upskill US squad leads and managers on people matters, including performance, difficult conversations, team health, and capability.
  • Own and continuously improve US people programmes, processes, and policies, including multi-state employment compliance, benefits, and leave, keeping them fit for a remote, AI-native, squad-based organisation.
  • Partner with the Credentialing, Licensing & Privileging Manager and physician recruitment team so people processes join up across the US team, without taking on credentialing or clinical decisions.
  • Coach and mentor the People Experience team, building their capability and confidence.
  • Use people data and insights to identify trends and drive proactive, evidence-based decisions.
  • Champion the company’s culture and values, and lead engagement, wellbeing, and belonging initiatives across a distributed US team.
  • Manage complex or sensitive employee-relations matters with sound judgement and discretion, escalating to the Chief People Officer and US counsel where needed.
Desired Qualifications
  • Experience in a health system or a rapidly scaling health or technology organisation.
  • Teleradiology or telehealth experience.
  • A tertiary qualification in HR, business, psychology, or a related field.
  • Familiarity with squad/agile-style or non-hierarchical operating models, and with multi-entity MSO/PC structures.
  • Exposure to people analytics tools and data-driven people decision-making.
  • A deep interest in being part of an AI-native organisation and the possibilities it brings.

About the company

H

Harrison.ai

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Harrison.ai creates AI-powered diagnostic tools for radiology and pathology to help healthcare providers diagnose and treat patients more efficiently. The software analyzes medical data at scale, enabling doctors to review images and test results faster and with fewer delays. It partners with clinicians to develop these AI solutions and then licenses or sells them to hospitals and other healthcare providers to integrate into care workflows. What sets Harrison.ai apart is its focus on two high-demand diagnostic fields—radiology and pathology—and its collaboration with medical specialists to tailor AI tools to real clinical needs, aiming to fit into existing hospital systems. The company’s goal is to scale global healthcare capacity and raise the standard of care for millions of patients by expanding access to accurate, timely diagnoses.

Company Size

51-200

Company Stage

Series C

Total Funding

$217.6M

Headquarters

Sydney, Australia

Founded

2018

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Simplify's Take

What believers are saying

  • FDA cleared acute infarct triage on March 3, 2026, expanding U.S. reimbursement pathways.
  • Harrison.ai added four partners to its Open Platform in March 2026.
  • Telefónica says Harrison.ai's chest X-ray tool already serves several Spanish health systems.

What critics are saying

  • ABC reported Australian layoffs in September 2026 after the January 2025 NRFC investment.
  • Frontier Radiology ties Harrison.ai software to employed U.S. doctors, inviting conflict scrutiny.
  • If hospitals reject autonomous-agent workflows, Harrison.ai's commercialization story collapses quickly.

What makes Harrison.ai unique

  • Harrison.ai combines FDA-cleared radiology triage, CE-marked products, and a zero-markup Open Platform.
  • Harrison.Rad 1.5 passed the FRCR 2B Short Case exam in June 2026.
  • Telefónica ships Harrison.ai chest X-ray AI across Spain's regional health services.

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Benefits

  • Flexible Work Hours
  • Remote Work Options
  • Wellness Program
  • Family Planning Benefits
  • Fertility Treatment Support

Growth & Insights and Company News

6 month growth

0%

1 year growth

-4%

2 year growth

4%
Giggy
Sep 9th, 2026
Australia invested $32 million in health-AI startup Harrison.ai to help keep it based there; a year later it is cutting Australian jobs and hiring US doctors to work with its AI.

Australia invested $32 million in health-AI startup Harrison.ai to help keep it based there; a year later it is cutting Australian jobs and hiring US doctors to work with its AI. September 10, 2026 Harrison (dot) ai was valued at close to $400 million during a 2025 fundraising round. The federal government's National Reconstruction Fund Corporation contributed $32 million, supporting the company's ambitions to scale internationally while maintaining its base in Australia. Australia's bet on artificial intelligence in healthcare is entering a new and complicated phase. Just a year after the federal government invested $32 million in Harrison (dot) ai as part of a funding round intended to help the company grow from Australia, the health-tech startup is restructuring its Australian workforce while expanding into the United States with a new business that employs American doctors to use its AI technology, states a news report by ABC News. Founded by brothers Aengus and Dimitry Tran in 2018, Harrison (dot) ai develops artificial intelligence tools designed to assist doctors in interpreting medical scans, particularly radiology images. According to the news report, the company says its technology is now used by about 3,500 clinicians across more than 1,000 sites and its investors include major Australian healthcare companies such as I-MED and Sonic Healthcare, alongside venture capital firm Blackbird.For the uninitiated, Harrison (dot) ai was valued at close to $400 million during a 2025 fundraising round. The federal government's National Reconstruction Fund Corporation contributed $32 million, supporting the company's ambitions to scale internationally while maintaining its base in Australia. But the company's next phase is bringing significant changes at home. Scroll down to read the details. Australian jobs cut as AI strategy changes. Earlier this year, Harrison (dot) ai informed Australian employees that some positions would be made redundant. An internal document seen by the ABC showed affected workers were told in April that the company would undergo a consultation process before final decisions were made. At least two employees subsequently announced on LinkedIn that their positions had been made redundant. As per the report, the restructuring is linked to a broader shift in how Harrison.ai intends to operate. The company is moving towards a model in which employees are expected to manage fleets of increasingly autonomous AI agents, effectively combining traditional roles with responsibility for overseeing AI systems. Company leadership has indicated that the transformation has also prompted some employees to leave because they preferred more conventional workplace structures. The National Reconstruction Fund Corporation has acknowledged the job cuts, describing the company's transition as a move from product development towards commercialisation and international deployment. A new US business model. At the same time, Harrison (dot) ai is expanding its presence in the United States through Frontier Radiology, an AI-enabled teleradiology service that hires US radiologists to interpret scans using Harrison (dot) ai's technology. Accordig to the ABC News report, Frontier describes itself as an independent medical practice affiliated and partnered with Harrison (dot) ai, which provides administrative, operational and technological support. The new model has raised questions about potential conflicts of interest. Frontier's doctors are being recruited to use technology developed by a company with which the service is closely affiliated. Its recruitment materials include a payment calculator that factors in the expected productivity gains from Harrison.ai's AI. The model assumes doctors using the technology can become 30 per cent more productive, with an additional bonus tied to the extra work attributed to AI assistance. That arrangement has prompted concerns over whether doctors will always feel free to challenge AI-generated recommendations when they believe those recommendations are wrong. Earlier privacy scrutiny adds another layer. Harrison (dot) ai has previously faced scrutiny over the data used to train its systems. Millions of medical scans supplied by I-MED were used for AI development after being de-identified. I-MED said the scans had been sufficiently de-identified, but patients were not directly notified or asked for consent.An investigation by Australia's privacy regulator ultimately accepted that the information had been adequately de-identified and closed its inquiries. Separately, government documents later revealed that the Department of Health and Aged Care had briefed the health minister's office about concerns surrounding the use of medical scans for AI training. Global ambitions, Australian questions. Harrison (dot) ai now appears focused on turning its technology into a global healthcare business, with signs that it is also preparing for a possible ASX listing. The company's transformation raises a broader question for Australia's AI strategy: how should public investment balance the goal of building globally competitive technology companies with expectations around Australian jobs, healthcare data and domestic economic benefits? For them, the next stage may prove whether an Australian-founded health-AI company can scale globally while delivering on the domestic promise that helped attract public funding in the first place.Images Courtesy: istock

Pulse IT Communications Pty Ltd
Sep 8th, 2026
Harrison.ai secures $32M from NRFC despite restructure and job cuts

The National Reconstruction Fund Corporation has defended its $32 million investment in Harrison.ai after the health AI company cut Australian jobs during a restructure. The NRFC invested in January 2025 to support development of Harrison.ai's radiology and pathology diagnostic technology. The corporation maintains that Harrison.ai will remain based in Australia despite expanding US operations. The restructure has prompted questions about the company's commitment to its Australian workforce whilst growing internationally. Harrison.ai specialises in artificial intelligence technology for medical diagnostics in radiology and pathology.

The Fast Mode
Jul 21st, 2026
Telefónica, Harrison.ai launch AI solution to support chest x-ray diagnosis in Spain.

Telefónica, Harrison.ai launch AI solution to support chest x-ray diagnosis in Spain. Telefónica, through its business unit Telefónica Tech, has partnered with the global healthcare technology company Harrison.ai to offer an artificial intelligence-based solution in Spain that will support healthcare professionals during the diagnostic process for chest X-rays. The technological solution incorporates a diagnostic support algorithm capable of analysing chest X-rays, automatically identifying up to 124 clinical findings (including pulmonary nodules to facilitate lung cancer screening) and detecting other critical conditions at an early stage. The artificial intelligence algorithm used has been trained using data from more than 780,000 chest X-ray studies, each of which has been independently labelled by at least three qualified radiologists to ensure diagnoses of a high standard of quality and reliability. Furthermore, the algorithm is certified as a medical device under the CE IIb marking, which provides the highest level of assurance in diagnostic support as it is authorised to address conditions that may pose a risk to patients' lives and guarantees compliance with the safety, efficacy and quality requirements set out in European Union legislation. The solution integrates into existing healthcare systems and infrastructure, thanks to the professional services provided by Telefónica's artificial intelligence and data experts, who ensure the technology can be adapted to the specific technical and clinical characteristics of each healthcare system. The company also provides managed maintenance and ongoing support services. This diagnostic support solution helps healthcare professionals improve patient care by optimising response times, streamlining workflows and enabling the early detection of diseases such as lung cancer. Artificial intelligence acts as a support tool, but it is the healthcare professional who retains the final say on the patient's assessment and the most appropriate course of treatment. A&E and primary care services will be able to view the diagnoses generated by artificial intelligence via a web-based viewer, which acts as an initial medical filter and helps to reduce unnecessary referrals to specialists. Furthermore, the solution integrates with the systems and patient lists that the radiologist needs to review, enabling them to customise the categorisation by level of urgency and prioritise the most urgent cases. Carlos Martínez, Head of Data and AI at Telefónica Tech The incorporation of artificial intelligence into radiology represents a significant step towards more effective and efficient healthcare models, in which technology becomes an ally of healthcare professionals to deliver faster, more accurate and more personalised care. With this new solution, which we are already offering to several regional health services, we are continuing to expand the services we offer our clients and making progress towards our aim of becoming the best gateway for citizens, businesses and public administrations to access digital technologies. Dr Aengus Tran, CEO and co-founder of Harrison.ai We are proud to partner with Telefónica Tech to bring clinically validated and scalable AI to healthcare professionals across Spain. Telefónica's reach in Spain gives us the opportunity to do what we set out to do: reduce the gap in healthcare capacity. Our aim is simple: to help clinicians detect diseases such as lung cancer at an earlier stage, prioritise the most urgent cases and ensure that no findings go unnoticed. Ray Sharma is an Industry Analyst and Editor at The Fast Mode. He has over 15 years of experience in mobile broadband technologies and solutions, conducting research and analysis on various technology segments and producing articles and write-ups on the latest developments within the sector. He is also in charge of social media engagement and industry liaisons. The Fast Mode 9658 likes TWEETS 28.4K FOLLOWING 3479 FOLLOWERS 13.2K

Telefónica
Jul 21st, 2026
Telefónica and Harrison.ai join forces to support the diagnosis of chest X-rays using AI.

Telefónica and Harrison.ai join forces to support the diagnosis of chest X-rays using AI. - Telefónica is offering a solution in Spain based on artificial intelligence that is capable of analysing chest X-rays, automatically identifying up to 124 clinical findings and detecting other critical conditions at an early stage. - The solution will help healthcare professionals optimise their responses, streamline workflows and prioritise care for the most urgent cases. 21/07/2026 Reading time: 4 min Link copied. Telefónica, through its business unit Telefónica Tech, has partnered with the global healthcare technology company Harrison.ai to offer an artificial intelligence-based solution in Spain that will support healthcare professionals during the diagnostic process for chest X-rays. The technological solution incorporates a diagnostic support algorithm capable of analysing chest X-rays, automatically identifying up to 124 clinical findings (including pulmonary nodules to facilitate lung cancer screening) and detecting other critical conditions at an early stage. The artificial intelligence algorithm used has been trained using data from more than 780,000 chest X-ray studies, each of which has been independently labelled by at least three qualified radiologists to ensure diagnoses of a high standard of quality and reliability. Furthermore, the algorithm is certified as a medical device under the CE IIb marking, which provides the highest level of assurance in diagnostic support as it is authorised to address conditions that may pose a risk to patients' lives and guarantees compliance with the safety, efficacy and quality requirements set out in European Union legislation. The solution integrates into existing healthcare systems and infrastructure, thanks to the professional services provided by Telefónica's artificial intelligence and data experts, who ensure the technology can be adapted to the specific technical and clinical characteristics of each healthcare system. The company also provides managed maintenance and ongoing support services. Carlos Martínez, Head of Data and AI at Telefónica Tech, explains: "The incorporation of artificial intelligence into radiology represents a significant step towards more effective and efficient healthcare models, in which technology becomes an ally of healthcare professionals to deliver faster, more accurate and personalised care. With this new solution, which we are already offering to several regional health services, we are continuing to expand the services we offer our clients and making progress towards our aim of becoming the best gateway for citizens, businesses and public administrations to access digital technologies." "We are proud to partner with Telefónica Tech to bring clinically validated and scalable AI to healthcare professionals across Spain," says Dr Aengus Tran, CEO and co-founder of Harrison.ai. He adds: "Telefónica's reach in Spain gives us the opportunity to do what we set out to do: reduce the gap in healthcare capacity. Our aim is simple: to help clinicians detect diseases such as lung cancer at an earlier stage, prioritise the most urgent cases and ensure that no findings go unnoticed." This diagnostic support solution helps healthcare professionals improve patient care by optimising response times, streamlining workflows and enabling the early detection of diseases such as lung cancer. Artificial intelligence acts as a support tool, but it is the healthcare professional who retains the final say on the patient's assessment and the most appropriate course of treatment. A&E and primary care services will be able to view the diagnoses generated by artificial intelligence via a web-based viewer, which acts as an initial medical filter and helps to reduce unnecessary referrals to specialists. Furthermore, the solution integrates with the systems and patient lists that the radiologist needs to review, enabling them to customise the categorisation by level of urgency and prioritise the most urgent cases. Share it on your social networks Link copied. Word of the week

Telecoms.com
Jul 21st, 2026
Telefónica and Harrison.ai build AI tool for chest X-rays.

Telefónica and Harrison.ai build AI tool for chest X-rays. The telco group's business unit Telefónica Tech has teamed up with healthcare technology company Harrison.ai for an AI solution that can analyse chest X-rays. July 21, 2026 It's being offered in Spain, and is designed to support healthcare professionals during the diagnostic process. It incorporates a diagnostic support algorithm capable of analysing chest X-rays, which can automatically identify up to 124 clinical findings (including pulmonary nodules to facilitate lung cancer screening) and detect other critical conditions at an early stage, we're told. The algorithm has been trained using data from more than 780,000 chest X-ray studies, "each of which has been independently labelled by at least three qualified radiologists to ensure diagnoses of a high standard of quality and reliability." It's also certified as a medical device under the CE IIb marking, which we're told provides the highest level of assurance in diagnostic support as it is authorised to address conditions that may pose a risk to patients' lives, as well as guaranteeing compliance with the safety, efficacy and quality requirements set out in EU legislation. It plugs into existing healthcare systems and infrastructure, and the pitch is it helps healthcare professionals improve patient care by speeding up response times, streamlining workflows and enabling the early detection of diseases. It also integrates with the systems and patient lists that the radiologist needs to review, which is supposed to help them prioritise the most urgent cases. "The incorporation of artificial intelligence into radiology represents a significant step towards more effective and efficient healthcare models, in which technology becomes an ally of healthcare professionals to deliver faster, more accurate and personalised care," said Carlos Martínez, Head of Data and AI at Telefónica Tech. "With this new solution, which we are already offering to several regional health services, we are continuing to expand the services we offer our clients and making progress towards our aim of becoming the best gateway for citizens, businesses and public administrations to access digital technologies." Dr Aengus Tran, CEO and co-founder of Harrison.ai, added: "We are proud to partner with Telefónica Tech to bring clinically validated and scalable AI to healthcare professionals across Spain. Telefónica's reach in Spain gives us the opportunity to do what we set out to do: reduce the gap in healthcare capacity. Our aim is simple: to help clinicians detect diseases such as lung cancer at an earlier stage, prioritise the most urgent cases and ensure that no findings go unnoticed." The release stipulates that this acts as a support tool, "but it is the healthcare professional who retains the final say on the patient's assessment and the most appropriate course of treatment." Earlier this year, Telefónica teamed up with Mavenir, signing a Memorandum of Understanding (MOU) to create a joint AI Innovation Hub, designed to accelerate the integration of AI into core networks. It will serve as a testbed where things like AI-driven autonomous network orchestration, intent-based services, and AI-enabled monetisation frameworks can be worked on, and will be concerned with AI practices, data security, regulatory compliance, joint marketing initiatives, technical thought leadership, and participation in global industry forums. Deputy Editor Andrew joined Telecoms.com on the back of an extensive career in tech journalism and content strategy. Prior to Telecoms.com, he held numerous editorial, content marketing and publishing roles covering various technology markets. Want more Telecoms.com stories in your Google search results? Join 56,000+ members. Yes it's completely free.