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Leica Biosystems' mission of "Advancing Cancer Diagnostics, Improving Lives" is at the heart of our corporate culture. We're a global leader in cancer diagnostics with the most comprehensive portfolio from biopsy to diagnosis. Our easy-to-use and consistently reliable offerings help improve workflow efficiency and diagnostic confidence. Our associates know that every moment matters when it comes to cancer diagnostics. When you come to work, you're helping develop solutions that enable accurate diagnoses to turn anxiety into answers. Join our diverse, global team of talented people, and be inspired to grow every day. Leica Biosystems is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we're working at the pace of change to improve patient lives with diagnostic tools that address the world's biggest health challenges. The Senior Research & Development Scientist - Advanced Staining Reagents is a key technical contributor to the development of immunochemistry technology and advanced staining reagent products. This position forms part of LBS initiative as a leading-edge cancer diagnostics partner with a vision to advance cancer diagnostics and improve lives. This position is part of the Research and Development (R&D) team located in Newcastle and will be an on-site, position. You will be a part of the Advanced Staining Reagents (ASR) R&D team and report to the R&D Manager. In this role you are a resource for all New Product Development projects and Compliance work performed in the R&D team. If you thrive in an innovative research and development environment and want to be part of a world-class R&D organization, read on. In this role, you will have the opportunity to: Lead projects and gain insight from other department SMEs. Become part of a team responsible for the delivery of cutting edge new diagnostic products. Become an expert on designing, performing and interpreting experiments on the automated staining instrumentation. Be part of a wider R&D organisation, gaining exposure to a variety of different project types. Learn and implement the process of developing products within a regulatory environment. The essential requirements of the job include: Significant prior lab experience within a regulated environment and understanding of IHC and molecular biology techniques (e.g.FISH). Possess a Degree in a scientific subject Have knowledge of H&S and how this applies to Laboratory environments Have experience of project delivery in a high-pressure environment It would be a plus if you also possess previous experience in: In-depth experience of Molecular Biology Experience of working within a regulated environment A higher degree Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Job description Site Name: London The Stanley Building Posted Date: Jun At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. We're looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world scientific problems and production grade AI-powered software solutions. Our team focuses on the discovery of preclinical digital biomarkers that translate robustly to clinical outcomes. An important outcome of our work is that, while enabling deeper insights into the effects and mechanisms of action of treatments, importantly, it also helps to advance the 3Rs framework, a set of principles that guide the ethical and humane use of animals in scientific research. In this role you will Convert vaguely described biological/drug discovery challenges into well-defined machine learning problems, particularly in the computer vision domain (both images and video). Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmarking, and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment. Engage with a diverse group of research scientists to help solve complex problems in the preclinical domain. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional AI/ML engineer. Experienced in developing deep learning models for solving real world scientific problems. For example, creating a visual transformer to detect anomalous tissue from a tissue sample or creating a semi-supervised model to classify text from physiology references (Note: these are just examples, and not necessarily reflective of specific work you will be doing). An outstanding software engineer and machine learning engineer. Demonstrable expertise and depth in at least one area and breadth across your expertise. Experienced/accomplished in software engineering with advanced skills and expertise in best practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch. Proficiency with standard deep learning algorithms and model architectures, can build new models either using Pytorch functional API or from scratch. Familiarity with current deep learning literature and math of machine learning In-depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Experience in deep learning for computer vision, including but not limited to image segmentation and object detection Advanced level in PyTorch or Tensorflow. Experience with devop stacks: version control, CI/CD, containerization, etc. A thorough understanding of security and privacy best practices as relates to data and code. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Track record of contributing to open-source projects, or evidence of working collaboratively on codebases Mentality of commit early and often, metrics before models, and shipping high quality production code Experience with video analysis and tracking Experience/familiar with different modules of an ML product interacting with each other asynchronously (say API calls or shared database) Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.) Closing Date for Applications: Thursday 10th July 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose to unite science, technology and talent to get ahead of disease together so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at

Job description Site Name: London The Stanley Building Posted Date: Jun At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. We're looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world scientific problems and production grade AI-powered software solutions. Our team focuses on the discovery of preclinical digital biomarkers that translate robustly to clinical outcomes. An important outcome of our work is that, while enabling deeper insights into the effects and mechanisms of action of treatments, importantly, it also helps to advance the 3Rs framework, a set of principles that guide the ethical and humane use of animals in scientific research. In this role you will Convert vaguely described biological/drug discovery challenges into well-defined machine learning problems, particularly in the computer vision domain (both images and video). Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmarking, and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment. Engage with a diverse group of research scientists to help solve complex problems in the preclinical domain. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional AI/ML engineer. Experienced in developing deep learning models for solving real world scientific problems. For example, creating a visual transformer to detect anomalous tissue from a tissue sample or creating a semi-supervised model to classify text from physiology references (Note: these are just examples, and not necessarily reflective of specific work you will be doing). An outstanding software engineer and machine learning engineer. Demonstrable expertise and depth in at least one area and breadth across your expertise. Experienced/accomplished in software engineering with advanced skills and expertise in best practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch. Proficiency with standard deep learning algorithms and model architectures, can build new models either using Pytorch functional API or from scratch. Familiarity with current deep learning literature and math of machine learning In-depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Experience in deep learning for computer vision, including but not limited to image segmentation and object detection Advanced level in PyTorch or Tensorflow. Experience with devop stacks: version control, CI/CD, containerization, etc. A thorough understanding of security and privacy best practices as relates to data and code. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Track record of contributing to open-source projects, or evidence of working collaboratively on codebases Mentality of commit early and often, metrics before models, and shipping high quality production code Experience with video analysis and tracking Experience/familiar with different modules of an ML product interacting with each other asynchronously (say API calls or shared database) Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.) Closing Date for Applications: Thursday 10th July 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose to unite science, technology and talent to get ahead of disease together so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at

Cambridge, UK Full-time Permanent Salary: £55,000 to £78,500 GBP DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane's mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world's most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It's a complex problem that requires a range of skills, talent and passion. We recently raised $75M in Series C funding to accelerate our cutting-edge R&D in quantum error correction (QEC), and are partnering with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role At Riverlane, we build new and advanced solutions to solve one of the hardest problems in quantum computing: quantum error correction (QEC). Our cutting-edge solutions must work seamlessly with varying customer requirements, in different environments and for multiple types of quantum computers. To ensure we can achieve this effectively, we rigorously test our innovative software and hardware solutions and measure performance, identifying any integration issues early on. This is a fantastic opportunity for a proven System Test Engineer to support the critical testing of Riverlane's groundbreaking products. This role will suit someone who is comfortable with adjusting to new specifications and who is keen to learn how to best support Riverlane's dedicated verification and testing teams to enable our products, paving the way for innovation. What you will do Working with the QA team, you will support the testing of our flagship Deltaflow products by running existing tests on our hardware/software regression farms. As you progress in the role, you will have the opportunity to design new tests and implement new ways of working to improve Riverlane's quality, and/or accelerate our quality assurance cycle. What we need Proven experience as a System Test Engineer Knowledge of Python3, with good understanding of pytest Understanding of scripting for networking: connecting remotely to a machine; sending and retrieving data; extract logs. Familiarity with hardware development or testing for FPGAs, ASICs, or embedded microcontrollers Experience with Continuous Integration Excellent communication skills, both written and verbal Curiosity to learn new things Ability to work collaboratively, with a diverse range of people Even better if you have Experience of setting up test-RIGs Familiarity with linear algebra and statistics Familiarity with dashboards creation (for test status reporting) How to apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates, so, please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact . Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Studies have shown that women tend to apply to jobs if they meet all or almost all of the requirements whereas men apply even if they meet only some of the requirements. If that sounds like you then please apply - we are happy to review your application and let you know if we think you might be a good fit. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme Equity, so that our team can share in the long-term success of Riverlane 28 days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and learning, including a regular programme of learning events and training and conference budgets

Senior Research Executive - Porterhouse Insights Porterhouse Insights Porterhouse Insights is the global research, insight and evidence consultancy of Porterhouse Medical Group (part of the SCIRIS network ), which was established in 2017 to generate actionable insights to meet evolving client needs. Our agency works with healthcare and pharmaceutical clients across R&D, commercial and medical to answer ad hoc research questions with global primary and secondary market research studies. The team also works closely with Porterhouse Medical colleagues to ensure our campaigns and solutions are driven by powerful, real-world insights and truly make a difference to people's lives. A summary of who we are looking for Our consultancy has grown rapidly in the last few years, and we are now looking for a talented Senior Research Executive to join our friendly team. The successful candidate will be involved in both qualitative and quantitative research projects and will develop a broad multi-disciplinary insight skill set. Senior Research Executive (UK office - Reading/London/Hybrid) - job description As a Senior Research Executive, your key responsibilities will include: Supporting the Directors and Managers on nominated projects Understanding project objectives and how these will be addressed by the research, seeking clarification from the senior team as required Proactively implementing research processes and practices Whilst adhering to SOPs and industry codes of conduct Becoming a key point of contact for data collection logistics, liaising with external suppliers with support from the wider team Reviewing and identifying issues Resolving issues in a proactive manner with support from the senior team Ensuring projects are progressing as per the timeline Demonstrating awareness of project timelines and proactively preparing for the next steps Becoming involved in client management Becoming involved in financial monitoring of projects with support from the senior team Playing a key role in project analysis and reporting Provide significant input into team analysis / reporting brainstorms and assuming responsibility for a significant proportion of reports Supporting the senior team with proposals and business development activities through desk research and other activities Collaborating closely with Porterhouse Medical colleagues to develop joint ventures Desired background and skills We are looking for the very best researchers to maintain our reputation as a first-class, evidence, insights and research agency delivering projects of the highest quality. Specifically, we are looking for individuals with the following skills, attributes and qualifications: At least two years' experience in a research/insight agency role or similar A bachelor's degree (2:1 or higher) in a life science (biological sciences, biomedical sciences, biochemistry or a closely related subject) and a strong academic record; appropriate psychology or business qualifications will add to the strength of the application Excellent English language skills and meticulous attention to detail Good working knowledge of Microsoft Office (Word, PowerPoint and Excel) and AdobeAcrobat The ability to pick up and understand new information rapidly, and to work well both in a team andindividually A strong work ethic and a solution-focused 'can do' attitude combined with intellectual curiosity andcreativity A self-starter with a passion for research, communications and healthcare Applications To apply, please send your CV and a covering letter to for the attention of Jan Coetzee (Talent Manager). We do not accept unsolicited CVs from recruiters or employment agencies.

Laboratory, R&D, Quality Management / Job Experience Quality Assurance Manager Our team at Tentamus Pharma UK is looking for an internal applicant to fill our up-coming vacancy for a Quality Assurance Manager. You would be responsible for establishing and maintaining the highest quality standards across our laboratories. This role involves developing and implementing quality systems, conducting audits and inspections, and ensuring compliance with regulatory requirements. The successful candidate will have a strong background in quality assurance, a deep understanding of laboratory operations, and a proven ability to drive quality improvement initiatives. Objectives of the role: Develop, maintain and continually improve a robust quality management system (QMS) aligned with industry standards and regulatory requirements. Ensure the laboratory's compliance with all relevant regulations and accreditations. Minimize quality risks and defects through effective quality control and improvement processes. Build a strong quality culture within the organisation. Continuously improve quality performance and metrics. Responsibilities of the role: Develop, maintain and continually improve quality policies, procedures, and standards. Conduct internal audits and quality assessments. Host external audits and inspections Investigate and resolve quality issues and non-conformances. Manage quality assurance team and resources. Collaborate with other departments to ensure quality is integrated into all processes. Analyse quality data and metrics to identify trends and improvement opportunities. Develop and implement quality improvement initiatives. Manage relationships with external quality assurance bodies. Stay updated on industry best practices and regulatory changes. Be an integral member of the site senior management team, driving compliance, excellence and positive change. Skills required: Degree in a relevant scientific field (e.g., chemistry, biology, microbiology) or quality assurance Extensive experience in quality assurance within a laboratory environment. Strong knowledge of quality management systems (GMP, etc.). Proven track record in leading quality improvement initiatives. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to influence and collaborate with cross-functional teams. Strong understanding of statistical process control (SPC). Proficiency in quality management software. Excellent attention to detail and accuracy. Ability to think critically and identify root causes. Strong leadership and organisational skills. Please, include the job position in the subject of your email in the following format TPUK: QA Manager . Job Type: Full-time, on-site Company pension Free and on-site parking Private Healthcare