behold.ai is expanding to meet the needs of the global healthcare market with the regulatory and clinical strategy being the core component.

We are pursuing market approval in multiple regions, and to that end have a strong internal focus on Quality, Information Security and Information Governance within the business.  Effective Information Security controls are vital in an industry dealing with sensitive health data and novel technology; effective information governance processes (including compliance with applicable data protection laws and regulations) are integral to ensuring smooth market access in the regions in which behold.ai operate.

ROLE RESPONSIBILITIES:

• Day-to-Day management of the ISO 27001 Information Security Management System (ISMS)
• Execute on the behold.ai IG & IS plan, with activities ranging from documenting procedures and internal audit to motivational and promotional activities expounding the value of information security and good governance
• To lead on the operation of related compliance monitoring and improvement activities to ensure compliance both with internal security policies/procedures and applicable laws and regulations.
• Work with representatives from customers and suppliers to complete Data Protection Impact Assessments and establish Data Sharing Agreements
• Liaise and offer direction to related governance functions (such as Physical Security, Risk Management, IT, HR, etc…) as necessary, on information security matters such as routine security control activities plus review of emerging security risks & related control technologies.
• Contribute to the development of internal Information Security/Governance policies, processes, procedures, work instructions & workflows
• Lead on activities relating to contingency planning, business continuity management and IT disaster recovery in conjunction with relevant internal business functions and third parties
• Lead on GDPR, HIPAA and other regional compliance requirements
• Lead on annual NHS DSP Toolkit submissions
• Coordinate HITRUST certification activities
• Work with the Operations Team to ensure effective systems and network monitoring/management
• Assist in some QMS maintenance activities as required

SKILL REQUIREMENTS

ESSENTIAL:

• Expert level ISO 27001 ISMS management & administration experience
• Expert level knowledge of ISO 27001 Annex A controls
• Intermediate to expert level knowledge of the GDPR
• Intermediate to expert level knowledge of HIPAA
• Expert knowledge of general information security & governance principles
• Previous experience of carrying out ISO 27001 internal audits
• Beginner to intermediate level technical knowledge of network and desktop/server operating systems
• Beginner to intermediate level technical knowledge of current network hardware, protocols, and standards
• Expert knowledge of systems access control principles
• Intermediate level knowledge of cyber security risks and principles
• Intermediate level knowledge of business continuity planning
• Intermediate knowledge of systems hardening principles
• Intermediate knowledge of vulnerability management technologies
• Intermediate knowledge of change management principles
• Beginner knowledge of logging and monitoring technologies

NICE TO HAVE:

• Previous experience of working with NHS organisations
• Previous experience working in the Medical Devices industry
• Previous experience of implementing centralised control and management of both desktop and server endpoints
• Expert level Cyber Security knowledge with experience of penetration testing
• Previous experience of project management
• Previous experience of HITRUST implementation

A full job description is available on request. Please click the “Contact Us” button to enquire about this role.

We are currently seeking outstanding Fullstack Software engineers to join our development team to help us build our front and back-end web environment and our data pipeline. Designing to scale is critical to the backbone of the company and the right candidate will bring experience of large scale application deployments.

We build with open source technology, using a newly created stack built from ReactJS, RabbitMQ, gRPC, Elasticsearch, Redis, Kubernetes & GCP – we’re open to trying out new things to find the best tool for the job.

This role does not require Machine Learning experience.

ROLE RESPONSIBILITIES:

• Design overall architecture of the web application.
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Maintain code integrity and organization.
• Experience working with graphic designers and converting designs to visual elements.
• Understanding and implementation of security and data protection.
• Highly experienced with back-end programming languages Ex Python, Javascript
• Proficient experience using advanced JavaScript libraries and frameworks such as ReactJS, BackboneJS, Meteor
• Development experience for both mobile and desktop.
• Proficient understanding of cross-browser compatibility issues and ways to work around them.
• Understanding of server-side services such as elasticsearch, redis
• Experience with cloud message APIs and usage of push notifications.
• Knowledge of code versioning tools such as Git, Mercurial or SVN.

A PLUS IF:

• You have an advanced degree
• You have knowledge of machine learning

A full job description is available on request. Please click the “Contact Us” button to enquire about this role.

We are seeking an outstanding Machine Learning Engineer to join our Research & Development team, who can work collaboratively with the rest of the engineering team to build high quality data products.

ROLE RESPONSIBILITIES:

• Build and develop machine learning solutions to be applied across a range of medical examinations.
• Perform experiments to iterate and improve current models.
• Investigate and diagnose model issues with a focus on patient wellbeing.
• Engage with our Radiologists and Clinicians to better understand their processes and the deployment environment.
• Turn models into data products, collaborate with engineering teams, and integrate into process throughout behold.ai.
• Work with freedom and autonomy to identify and pursue research areas of interest.

QUALIFICATIONS:

• Bachelor’s Degree in Statistics/Mathematics/Computer Science/Physics or similar with practical experience.
• Passionate about applying machine learning techniques to improve healthcare.
• Keeps up to date with current literature and advancements in machine learning.
• Experienced in building machine learning models and working with computer vision problems.
• Expert level Python experience and experience with mainstream deep learning and data science frameworks (e.g. Pytorch, Tensorflow, Pandas, SciKit Learn, jupyter notebooks etc).
• Strong data and statistical analysis skills for model testing and validation.
• Contributes positively to a collaborative and supportive research and development environment.

NICE TO HAVE:

• Doctorate Degree or Master’s Degree in Statistics/Mathematics/Computer Science/Physics or similar with equivalent practical experience.
• Familiarity with deep learning computer vision methods for localization, detection, classification or segmentation.
• Strong software and data engineering experience for developing data visualisation and model validation tools.
• Experience working with our tech stack, including MongoDB, ElasticSearch, AWS.
• Knowledge of Software Development Procedures and Processes according to ISO 13485.
• ISO 27001 Information Security Management System support and administration.

A full job description is available on request. Please click the “Contact Us” button to enquire about this role.

We are seeking an outstanding Data Scientist to join our Research & Development team, who can work collaboratively with the rest of the engineering team to build high quality data products.

ROLE RESPONSIBILITIES:

• Perform data analysis and model validation across our research areas.
• Create and maintain data pipelines and monitoring tools to enable analysis and rapid development of model performance.
• Perform model testing and analysis with ML engineers as part of model development and validation studies.
• Engage with our Radiologists and Clinicians to better understand their processes and the deployment environment.
• Work with freedom and autonomy to identify and pursue research areas of interest.
• Work to ensure the efficacy and fairness of all the behold.ai products.

QUALIFICATIONS:

• Bachelor’s Degree in Statistics/Mathematics/Computer Science/Physics or similar with practical experience.
• Passionate about applying machine learning and data science techniques to improve healthcare.
• Keeps up to date with current literature and advancements in machine learning and data science.
• Experience building data analysis pipelines and integrating data-driven workflows across teams.
• Expert level Python experience and experience with mainstream data science frameworks (e.g. Pandas, SciKit Learn, jupyter notebooks etc).
• Strong data and statistical analysis skills for model testing and validation.
• Contributes positively to a collaborative and supportive research and development environment.

NICE TO HAVE:

• Doctorate Degree or Master’s Degree in Statistics/Mathematics/Computer Science/Physics or similar with equivalent practical experience.
• Experience implementing deep learning techniques and building neural networks and using popular deep learning frameworks (e.g. Pytorch, Tensorflow etc).
• Strong software engineering experience, preferably building full-stack, data-oriented applications using popular libraries (e.g. Django, Flask, Fast API, D3 or similar)
• Experience working with our tech stack, including MongoDB, AWS, Django, ElasticSearch, Redis and Flask.
• Knowledge of Software Development Procedures and Processes according to ISO 13485.
• ISO 27001 Information Security Management System support and administration.

A full job description is available on request. Please click the “Contact Us” button to enquire about this role.

We have open positions for seasonal interns looking to start their career in the roles of a Data Scientist and Machine Learning Engineer.

The internship programme will gain valuable experience of working for an innovative and growing AI Medtech company. If you would like to apply for an internship, please send us your resume / CV by clicking on the button below.

We have open positions for seasonal interns looking to start their career in the roles of a Data Scientist and Machine Learning Engineer.

The internship programme will gain valuable experience of working for an innovative and growing AI Medtech company. If you would like to apply for an internship, please send us your resume / CV by clicking on the button below.

As we expand our platforms to support new products, hospital sites and expand into international geographies, we have an opening in our Operations team.  We are seeking a skilled and experienced Infrastructure Engineer to work with both UK & USA teams on the development and deployment of new software solutions delivered on a secure, fast and resilient global infrastructure.

The role has a number of responsibilities both technical and operational so if this is of interest, please request the full job description.

ROLE RESPONSIBILITIES:

• Work with all areas of the business in product and strategic project planning including:
  • Risk analysis
  • Cost & benefits analysis and forecasting
  • Operational and development needs
  • Impact analysis
  • Information security risk assessments
• Design and implement processes and procedures to support business continuity and support a 100% business SLA.
• Design and implementation of disaster recovery procedures, including regular testing.
• Work with the compliance team to implement necessary technical controls to support medical devices and maintain QMS records.
• Work with the engineering team to accelerate delivery of software to the business through automation and continuous integration.
• Work with the client deployment team to deliver new products and business solutions to clients, performing the following:
  • Establish connectivity with the client through site-to-site VPN or deployment of managed encryption router
  • Answer and satisfy any information governance documentation requirements or concerns
  • Establish image pathway through connectivity with the client PACS
  • Establish communication pathway through HL7 broker
  • Meet with clients on-site as required as part of the deployment process
  • Work with DICOM / HL7 brokers to create an end-to-end solution
  • Work with deployment team to perform full end-to-end solution testing
  • Provide supporting documentation and QMS records
  • Provide handover and support to the operations team post deployment
  • Provide ongoing reporting and support for the client integration
• Manage and maintain the global infrastructure, including:
  • Public cloud environments
  • Private cloud and physical datacentres
  • Physical and virtual server estates
  • Storage infrastructure
  • WAN and interconnecting networks
  • Client connectivity and integrated systems
• Take ownership of databases, their installation, scaling, resilience, maintenance, security and performance.
• Ensure infrastructure availability and reliability.
• Provide reporting on information held within the business systems, automating where possible.
• Provide 24×7 technical support (on a rota’d basis) to the business and clients.
• Provide 24×7 2^nd & 3^rd line technical support as part of an escalation path.
• Work with the operations team on issue management, root cause analysis, repeat problem prevention, automation and reporting.
• Keep task and project documentation up to date, provide regular management reports.

SKILL REQUIREMENTS

ESSENTIAL

• Linux operating systems (Advanced Level)
• Microsoft Windows Server operating systems (Advanced Level)
• Linux shell scripting (Advanced Level)
• Docker, Kubernetes and container cluster management (Advanced Level)
• VMware vSphere virtual environments (Advanced Level)
• Cross-vendor networking fundamentals including configuration and troubleshooting of the following:
  • Routing
  • Switching
  • Firewall
  • Load balancing
  • DNS
  • IPsec VPN
• Cisco IOS & ASA OS devices
• Intermediate level experience of Nagios monitoring systems
• Expert understanding of networking protocols
• Interpreting system and application logs
• SQL & NoSQL database management, including the installation of, scaling, maintenance, backup and performance monitoring – in particular MongoDB & PostgreSQL
• Data storage systems including Fibre/iSCSI SAN, object storage and data integrity mechanisms
• Business continuity and disaster recovery principles
• Cyber Security including application and operating system hardening, network security controls, vulnerability management
• Implement security tools, policies and procedures
• Physical hardware configuration and installation
• Raising and management of incident and problem tickets
• Experience of backup systems such as Veeam or BackupExec

NICE TO HAVE:

• Knowledge of DICOM & HL7 standards
• Experience of radiology PACS & RIS systems
• Experience of a radiology workflow
• Experience of implementing or working in an ISO 27001 environment
• Experience of ISO 13485, ISO 14971, IEC 62304
• Experience working with medical devices

We are looking for a motivated, skilled and experienced customer facing Integration Specialist to work with both UK & USA teams on the integration and deployment of our products across our technology leading and innovative hospital sites.

ROLE RESPONSIBILITIES:

• Customer point of contact for project integration activities and the co-ordination of task within behold.ai and the customer team
• Co-ordinate the completion of required documentation for the integration of the behold.ai services including:
  • Information Governance / Data Privacy Impact Assessments
  • NHS Digital Framework and Security Questionnaires
  • NHS Services Contract
  • Data Sharing and Governance
  • Risk analysis questionnaires
  • Cost & benefits analysis and forecasting
• Work with the internal technical teams and suppliers to co-ordinate the integration of technical services to the hospital sites
• Work with the internal technical and operational teams to deliver new products and business solutions to clients, performing the following:
  • Assist with the technical connectivity between behold.ai and hospital site
  • Answer and satisfy any information governance documentation requirements or concerns
  • Establish image pathway through connectivity with the client PACS
  • Establish communication pathway through HL7 broker
  • Meet with clients on-site as required as part of the deployment process
  • Work with DICOM / HL7 brokers to create an end-to-end solution
  • Conduct full end-to-end solution testing
  • Provide supporting documentation and QMS records
  • Provide handover and support to the operations team post deployment
  • Provide ongoing reporting and support for the client integration

SKILL REQUIREMENTS

ESSENTIAL

• Picture Archiving and Communication Systems (PACS)
• DICOM imaging formats
• HL7 reporting standards
• Radiology Clinical Workflows
• Radiology Information Systems (RIS)
• Previous clinical experience as a radiographer or PACS / RIS manager
• Experience of creating customer facing management reports
• Microsoft Office 365 experience (Advanced level)

NICE TO HAVE:

• Knowledge of DICOM & HL7 standards
• Experience of implementing or working in an ISO 27001 environment
• Experience of ISO standards including: ISO 13485, ISO 14971
• Business development and/or Account management experience in a medical company