Groupe 2im

About Us The Institute of Pharmaceutical Science (IPS) at KCL supports world class fundamental and applied research across the full spectrum of pharmaceutical science, from drug discovery through biophysical and biological characterization, pharmacology, formulation, drug delivery and use of medicines, with a strong culture of multi-disciplinary collaboration and links to clinical colleagues evidenced by awards of major grants from organisations such as MRC, BBSRC and NC3Rs. The medicinal chemistry laboratory of IPS has been recently refurbished and modernized with new equipment and facilities, and the selected candidate will be based at the medicinal chemistry laboratory at Franklin Wilkins Building. About The Role Inflammation drives the pathogenesis of many respiratory disorders. Established anti-inflammatory medications (e.g. glucocorticosteriods or PDE4 inhibitors) have questionable efficacy in the majority of COPD patients. Patients often suffer side effects (eg increased pneumonia risk in patients administered glucocorticosteroids; dose limiting gastrointestinal side effects with PDE4 inhibitors). Furthermore, current drugs are delivered via the inhaled route, and cannot address the issue of systemic inflammation in COPD patients that increases the likelihood of disease exacerbations, or inflammation-driven co-morbidities (e.g. cardiovascular disease) that are also life threatening. Research into the inflammasome; and inflammatory resolving pathways are novel competing strategies, however these retain a risk of immunosuppression. Our approach is advantageous because: 1, systemic platelet activation during inflammation is a critical process that does not carry operational redundancy; 2, targeting biased P2Y1 signalling associated with inflammation eliminates side effects associated with haemostasis eg unwanted bleeding; 3, rapid anti-inflammatory effects are induced by targeting platelet activation; 4, regular platelet turnover means drug effects can be ‘washed out’ if needs be; 5, we have proven local (lung) efficacy via systemic administration of our tool compounds. The project will provide data to allow comparisons between chemical scaffolds (involve synthesis of novel structures chosen from understanding of initial series of compounds and their performance from MRC grant MR/T015845/1) in terms of measurements of efficacy using a validated in vivo model of respiratory disease (COPD), therapeutic dosing strategy to determine duration of action, (in house); pharmacokinetic (PK) data, and early safety profiles (maximum tolerated dose MTD) outsourced to Eurofins. This is a 0.5 FTE post, you will be offered an a fixed term contract until 30/09/2026. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria MSc in Medicinal Chemistry, Pharmaceutical Chemistry or Pharmacy. Practical experience of C-C, N-C and amide coupling reactions, protection-deprotection chemistry and multi-step synthesis Knowledge of small-molecule characterization using NMR, IR, UV, Mass and HPLC techniques Knowledge of software packages, including Word, Excel and chemical structure drawing and bibliographic programmes Knowledge of analytical and preparative LC_MS techniques Track record of published research in peer-reviewed journals of international standing Research experience in Synthetic and Medicinal Chemistry Desirable criteria Experience in chemistry laboratory management including electronic inventory maintenance Record of presenting scientific research at national/international conferences Experience in operating LC-MS system Excellent interpersonal skills Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held in January/February. Grade and Salary: £39,735 per annum inclusive of London Weighting Allowance Job ID: 134225 Close Date: 04-Jan-2026 Contact Person: Professor Miraz Rahman Contact Details: k.miraz.rahman@kcl.ac.uk

About us: The post will be based in the Department of Biostatistics & Health Informatics at KCL, within the Institute of Psychiatry, Psychology and Neuroscience (IoPPN). The centre offers a diverse research environment that is open, welcoming and supportive to all. The faculty-wide initiatives are supported by an active Diversity & Inclusion Team. The Department has been a major force in the development of quantitative methodology as applied to mental health research. We have significant national and international collaborations, and our research has growing impact into all areas of medicine particularly through expertise in trials and software development. About the role: We are seeking a highly skilled and motivated Postdoctoral Research Associate to join a pioneering project at the intersection of speech analytics, mHealth, and precision psychiatry. This is an exciting opportunity to contribute to an internationally unique study that integrates speech analysis with qualitative and quantitative methodologies at scale, aiming to transform our understanding of Major Depressive Disorder (MDD) and advance patient-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in content, lexical choice, prosody, and acoustic features. These speech-derived measures will be integrated with insights derived from wearable data, structured assessments, medical records, and multi-omics datasets to enable innovative genetic and biomarker association studies, supporting the development of stratified and personalized approaches to mental health treatment. In addition to conducting cutting-edge analyses, the postholder will prepare research findings for dissemination in high-impact, REF-returnable journals and actively engage with Patient and Public Involvement and Engagement (PPI-E) efforts to ensure authentic, patient-centred interpretations of the data. To be considered for this role, you should have:  A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing).  Strong skills in data analysis and programming (e.g., Python or R).  A track record of publications in high -quality scientific journals.  Experience or interest in large language and foundational models is an advantage.  This is a full-time post (35 hours per week), and you will be offered a fixed term contract from 1st April 2026 - 30th September 2028. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. Please note that we reserve the right to close this advert early if we receive a high volume of applications. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD or equivalent in a relevant discipline (e.g., biostatistics, computer science, clinical informatics, natural language processing). Proven experience in speech and language analysis, including acoustic feature extraction and/or natural language processing (NLP) techniques. Proficiency in data analysis and programming with languages such as Python or R. Experience handling and integrating large, complex datasets, including multimodal data Proven track record of writing and publishing scientific papers in high-impact journals. Desirable criteria Experience with Large Language Models (LLMs) or other foundational models applied to speech or text data Experience applying speech and language technology in mental health research, particularly in depression Familiarity with wearable technologies, including data cleaning and feature extraction Experience in grant writing and securing research funding. *Please note that for applicants currently undertaking a PhD and awaiting their results (thesis submitted), the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £45,031 - £49,871 per annum, including London Weighting Allowance Job ID: 134105 Close Date: 11-Jan-2026 Contact Person: Nicholas Cummins Contact Details: nick.cummins@kcl.ac.uk

About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) is a vibrant faculty based in the heart of London with a long tradition of world-leading research and teaching in physics, mathematics, chemistry, informatics and engineering.  This role presents an exciting opportunity to run and develop the Nuclear Magnetic Resonance (NMR) service in the Chemistry department providing expert guidance and advice to end users from method development to data collection and interpretation. Reporting to the Senior Technical Manager (Operations) at the Guys Campus. About the role The role-holder will have extensive technical expertise in NMR and comprehensive knowledge of small molecule solution NMR. They will support research activities across several different user groups, such as PhD students, researchers, external and industrial users, to deliver an exceptional service. They will manage the service, troubleshoot to minimise downtime and will be responsible for the compliance with Health & Safety and other relevant regulations governing the service. The successful candidate will be an active member of King’s Technical Network, engaging in Faculty and College initiatives to strengthen and share best practice, with an ongoing commitment to professional development. They will facilitate an inclusive culture and ethos in line with King’s Equality, Diversity & Inclusion (EDI) strategy, proactively liaising with both internal and external stakeholders at all levels. This is a full-time post (35 hours per week), and you will be offered an indefinite contract. Please note the role is fully on-site. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience:  ​Please note that all applications must be accompanied by a supporting statement. Within that statement, all the below essential criteria must be addressed. Essential criteria Level 6 qualification in a relevant field, e.g., relevant bachelor’s degree in chemistry and or pharmacy, or equivalent, plus substantial work experience in relevant technical/scientific service posts. Comprehensive technical knowledge and skills in small molecule solution NMR, maintenance and troubleshooting of NMR spectrometers, with experience in providing expert guidance and advice to end users on method development and interpretation. Comprehensive knowledge of regulations and best practice governing area of work, including Health & Safety and environmental sustainability. Strong written, oral, and IT communication skills, with advanced computer use and strong interpersonal and influencing/behavioural skills to build a strong network to support the delivery of the service. Effective management skills and the ability to work as part of a team. Excellent planning & organisational skills as evidenced by successfully managing facilities, identifying performance standards and putting in place mechanisms to deliver these.  Ability to manage own workload, take effective decisions and be an effective problem solver, responding to changing priorities to make improvements to services and protocols.  Ability to train all end users, e.g., staff, students, researchers, and technical staff. Desirable criteria Level 7/8 qualification (e.g. Masters/PhD) NMR spectroscopy. Experience of managing and maintaining an NMR facility. Bruker training courses: i.e. Advanced NMR system Operation; Operators and/or Applications. Able and willing to provide support beyond core hours, as required e.g. during a weekend open day event. Evidence of an active commitment to professional development. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.  Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.  We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: Grade 6: £45,031 - £52,514 per annum, including London Weighting Allowance Job ID: 134186 Close Date: 28-Jan-2026 Contact Person: Isabel Cruz-Gallardo Contact Details: isabel.cruz-gallardo@kcl.ac.uk