Phd jobs in Reino Unido - Page 2

Join an innovative AI cybersecurity startup based in London that’s tackling cutting-edge challenges in large language models (LLMs) and machine learning security. Following a successful Series A funding round, they’re expanding their team and looking for a talented ML Scientist to help shape the future of intelligent, secure systems. You’ll be part of a strong research group located near King’s Cross, working in a hybrid environment alongside accomplished ML scientists with publications at top-tier conferences. Experience Required • MSc or PhD in Computer Science, Machine Learning, or a related discipline, • Strong hands-on experience with transformer-based models / LLMs, • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), • Proven publication record at leading conferences such as NeurIPS, ICML, or ICLR On Offer • Collaborate with an elite, research-driven team in a rapidly growing sector, • Work on real-world applications of cutting-edge ML techniques, • Competitive compensation and flexible hybrid working model If you’re passionate about advancing ML research and applying it to the fast-evolving world of cybersecurity, we’d love to hear from you. Apply today!

My client is a start-up Quant hedge fund founded by a Math Postdoc and a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan. Role Contribution to production proprietary trading systems and create and deploy Machine Learning and Airtifical Intelligence models and experiment with trading ideas. Required Experience training Machine Learning models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, with publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences. Positives PHD

About Sahaj Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. About the role and the skill set: A Data Scientist at Sahaj should be able to interact with clients and help solve client problems. They should be conversant with problem solving, first principles thinking, data science model life cycle, metrics, and deployments. The model choices should be chosen based on accuracy requirements, the target operational environment and the latencies. The activity for a data scientist involves conceptualizing, formulating, coding and deploying the solutions to the problem. They should be conversant with using cloud computing depending on the target environment. They should be conversant with interacting with the clients and be able to make sense of ambiguous problem statements. Our client problems can range in a variety of domains. Some examples, but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas, and be conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with engineering and business teams and is good at formulation, solving and deploying Data Science models. What will you experience in terms of culture at Sahaj? A culture of trust, respect and transparency Opportunity to collaborate with some of the finest minds in the industry Work across multiple domains What are the benefits of being at Sahaj? Unlimited holiday allowance Life insurance & private health insurance Stock options No hierarchy Open Salaries

• An opportunity to apply your Materials Science skills in a meaningful way., • Take full ownership and lead a significant part of the R&D development of the technology and vision., • Good potential for this to become a permanent position after 12 months with the next round of funding. About the company: Did you know that more than 45 billion disposable RFID tags are made annually and typically end up in landfill after a short life cycle? PulpaTronics develops fully-recyclable and metal-free RFID tags that are also cheaper and simpler to manufacture. PulpaTronics spent the last 2 years in R&D and we’re looking to deliver our first pilots. We have won two research grants, numerous competitions (e.g. Dezeen Awards, SantanderX Global Challenge, H&M Foundation) and secured our pre-seed funding. We are looking for applicants to join our team of five, who share our passion for sustainability, have a startup “hustle” mentality, and are eager to make real change in our society. What you'll be doing: We are looking to grow our R&D team with a Materials Engineer joining us as a recyclable and bio-based material specialist. The main responsibility of this role is to support our organic substrate development. Additionally, the Materials Engineer will work closely with our Materials, Laser Technology and Radio Frequency Specialists as well as our CTO, to optimise the overall performance of our technology and support the industrial scaling-up and commercialisation of our bio-based products. The position can also expand into developing the scaling up and commercialisation of the technology, and potentially lead to a permanent position. Responsibilities include: • Develop the substrate material component of our technology based on primary and secondary research findings., • Responsible for substrate formulation, prototyping, testing, validation and scale-up., • Help build and maintain strong relationships with both academic and industrial partners., • Design and conduct rigorous scientific material characterisation and testing protocols., • Generate technical performance summaries and report findings in research review sessions., • Propose new directions for further optimisation and implement improvements through rapid ideation and prototyping iteration., • Support developing and designing project timelines and grant applications., • Contribute to developing our intellectual property protection strategy., • Communicate and collaborate with scientific advisors, researchers, product development, IP, legal and commercial experts. What experience you'll need to apply: • Master’s degree in Materials Science and Engineering, Chemical Engineering or similar (PhD is a plus) from a highly regarded University., • Experience working with plant-based materials, ideally bioplastics, is important (publications in the field are a plus)., • Preferably two or more years of relevant industry experience focusing on renewable and/or organic materials., • Relevant portfolio of novel material development desirable., • Demonstrated ability using polymer processing and characterisation equipment (injection and compression molding, extrusion, film casting, tensile testing, rheology, etc.) is preferred., • Strong interest in sustainable solutions and recyclable, renewable or organic materials, ideally in the packaging industry, is key., • Experience in using Matlab, R, Python or other programming languages is a plus., • Good understanding of health and safety-related risk assessments and reporting is essential., • Team player with good communication skills, able to explain information to technical and non-technical audiences., • Self-motivated, with a passion for the job, and able to follow tasks through to completion without direct supervision., • Experience working in a fast-paced and challenging environment and collaborate successfully in a multidisciplinary team to achieve specific objectives. Pay range and compensation package: This would be an initial 12 months full time role, with a good chance of becoming more permanent - Salary guideline of £35,000 - £50,000 per annum. • Opportunity to take full ownership and lead a significant part of the R&D development of the technology and vision, • Milestones tailored to personal development goals with plenty of support and training, • Access to lab and fully-equipped workstation, including computer-aided manufacturing tools, • 20 days of annual leave on top of the 8 bank holidays., • Competitive salary and potential equity compensation., • One work from home day per week. What's next Apply to this advert and Roy Bennett our recruitment partner at ADLIB will be in touch if you have the relevant skills for the position.

We are seeking an experienced computational biology leader to guide the evaluation and real-world applications of our foundation models. The successful applicant will bring expertise in biology and data science to provide crucial scientific direction and tackle the most important problems in drug development and translational research. Reporting to the Head of Computational Biology, this is a senior individual contributor role within our R&D team that will expand into management as the company grows. You will provide domain expertise to our research team, mentor junior team members, and collaborate closely with our Product and Business Development teams. This role can be remote, with expected regular travel to Paris for team meetings. The role As a Computational Biology Lead, you will: • Research & Innovation: Identify and develop AI and foundation model approaches to answer key questions in biopharma and translational research. Collaborate with our research team to identify, acquire, or generate new datasets and data modalities to incorporate into our models. Contribute to publications, patents, and case studies showcasing novel applications in pharma R&D., • Leadership: Represent at conferences, workshops, and client meetings, demonstrating domain expertise and the potential of AI-driven drug development. Mentor junior team members and provide domain expertise to our R&D team., • Bridge Research & Product: Translate biopharma research questions into actionable machine learning objectives and tasks. Work closely with product, business, and research teams to define feature priorities., • Stakeholder Engagement: Serve as a trusted scientific partner during external technical discussions. Design proof-of-concept studies, address domain-specific queries, and deliver high-quality presentations that highlight the value of solutions. Provide ongoing training and support to partners on how to interpret and apply our foundation models in R&D pipelines. Help unlock actionable insights in transcriptomics, proteomics, histology, and beyond. What you'll bring The successful applicant will have a ‘team-first’ attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring deep domain expertise in pharmaceutical R&D alongside strong hands-on computational skills. Educational background: • PhD or equivalent experience in Computational Biology, Bioinformatics, or related field. BioPharma R&D experience: • 4+ years professional experience in Biopharma R&D., • Deep understanding of biopharma R&D use-cases, challenges, tools and processes, • Ability to break down high-level biopharma use-cases into actionable recommendations for the research & product team (ex: evaluation metrics, data annotations, specific loss function, etc…) Computational Biology: • Extensive experience working with end-to-end genomics and multi-omics datasets (transcriptomics, single-cell, proteomics, imaging, etc..), from dataset generation & QC, to the analysis and interpretations of results., • Demonstrated expertise critically applying machine learning to computational biology, including scientific publications at high-impact journals and/or top conferences in the field., • Deep experience in Python/R. Comfortable working in cloud computing environments and with version control systems Exceptional communication skills: • Experience working in cross-functional environments and influencing the decision making of senior/executive stakeholders, • Capable of engaging both technical and non-technical stakeholders. Adept at crafting compelling presentations and scientific narratives for high-level stakeholders and internal teams. How to stand out • Translational Oncology/Immunology Research: Demonstrated experience leading computational biology efforts in translational research from IND filing to clinical trials., • Single Cell & Spatial Expertise: Extensive experience in computational biology research, in particular in single cell and spatial domains, applying AI/ML models in translational or clinical research., • Project Leadership Experience: Demonstrated ability to manage complex projects and deliver results in a fast-paced environment., • Internal/External Leadership: A track record of impactful contributions to computational biology, drug discovery & development, or foundation models. Demonstrated success mentoring junior scientists., • Entrepreneurial Mindset: Experience in a startup or innovative environment, showing adaptability, proactiveness, and eagerness to take on varied responsibilities., • Stakeholder Management: Proven success in matrixed or consulting activities, shaping product offerings, and ensuring stakeholder satisfaction through ongoing relationship management.

Head of Cheminformatics and Data Architecture About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Head of Cheminformatics and Data Architecture. The Role The Head of Cheminformatics and Data Architecture will define how chemical, biological, and data ecosystems integrate to power our discovery engine. You will lead a world-class team responsible for cheminformatics innovation, molecular data architecture, and the integration of AI/ML platforms (MLOps) to accelerate small molecule design and optimisation. What You’ll Do • Strategic Leadership: Define and execute Nxera’s cheminformatics and data architecture vision across discovery and early development., • Data Architecture & Infrastructure:, • Architect and oversee scalable data frameworks that unify chemical, biological, and structural data across the enterprise., • Partner with Discovery and Platform teams to ensure seamless data flow, standardisation, and accessibility for scientific users., • Implement FAIR (Findable, Accessible, Interoperable, Reusable) data principles across discovery workflows., • Cheminformatics Innovation:, • Advance the use of computational chemistry, molecular modelling, and AI-driven structure–activity prediction., • Lead the design and deployment of internal cheminformatics platforms, APIs, and visualisation tools., • Cross-functional Collaboration: Partner with Discovery scientists to develop predictive design capabilities and multi-modal data strategies., • External Engagement: Represent Nxera in strategic collaborations, conferences, and partnerships with technology providers and academic leaders., • Leadership & Mentorship: Build, inspire, and grow multidisciplinary teams spanning cheminformatics, data architecture, and computational sciences. What You’ll Bring • PhD in Chemistry, Computational Chemistry, Cheminformatics, or related field., • 10+ years in pharma/biotech R&D with at least 5 years in senior leadership roles., • Proven expertise in building and managing cheminformatics platforms and data ecosystems., • Deep understanding of data architecture principles, ontologies, and modern data stack technologies (cloud-native, API-first, microservices)., • Hands-on experience with ML/AI model integration into cheminformatics workflows., • Strong track record of advancing discovery programs through computational and data-driven innovation., • Exceptional communication and leadership skills, capable of influencing across technical and executive domains. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experienc required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity

Director of AI Research & Engineering About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Director of AI Research & Engineering. The Role We are seeking a visionary Director of AI Research to lead the design, development, and deployment of advanced AI and machine learning capabilities across Nxera’s discovery pipeline. This role will accelerate the evolution of NxWave™, embedding AI throughout structure determination, ligand discovery, and translational biology. You will bridge data science, structural biology, and chemistry, transforming how Nxera generates, analyses, and applies biological knowledge. What You’ll Do • Help define and implement Nxera’s enterprise-level AI strategy to scale intelligent automation across discovery and design including:, • Algorithmic Innovation, • Drive the application and development of advanced AI methods, including:, • Generative models for de novo ligand and peptide design (e.g. diffusion models, VAEs, GANs, reinforcement learning)., • Protein structure prediction and conformational modelling using graph neural networks (GNNs) and equivariant transformers., • Molecular property prediction via multitask learning, transfer learning, and self-supervised pretraining on molecular graphs., • Active learning and Bayesian optimisation to prioritise compounds for synthesis and assay., • Natural-language processing (NLP) and retrieval-augmented generation (RAG) for mining scientific literature and experimental reports., • Multi-modal integration of structural, chemical, and biological data using embedding fusion and transformer-based architectures., • Integrate with NxWave™, • Collaborate with computational chemists and biophysicists to integrate AI models with experimental pipelines such as cryo-EM, crystallography, and high-throughput screening., • Data Infrastructure & Governance, • Oversee design of scalable data pipelines, model lifecycle management, and ML-Ops infrastructure for secure and reproducible research., • Collaboration & Mentorship, • Build and lead a high-performing AI research & engineering team, mentoring scientists and engineers to deliver impactful, production-ready models., • Partner with global AI and cloud technology leaders to co-develop new discovery algorithms. What You’ll Bring You combine deep technical expertise with a passion for translating AI breakthroughs into transformative medicines. Essential Qualifications • PhD (or equivalent) in Computer Science, Computational Biology, Applied Mathematics, or related quantitative discipline., • 5+ years of experience applying AI/ML to life sciences, drug discovery, or healthcare innovation., • Proven leadership in developing and deploying deep learning or generative AI systems at scale., • Proficiency in frameworks such as PyTorch, TensorFlow, or JAX; and experience with cloud-native ML infrastructure (AWS SageMaker, Vertex AI, Azure ML)., • Demonstrated understanding of chemoinformatics, molecular docking, free-energy prediction, or structure-based drug design workflows. Desirable • Experience with co-folding., • Publications or patents in deep generative chemistry, protein design, or foundation models., • Familiarity with graph transformer architectures, diffusion models, or LLMs for scientific reasoning. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

Company: Globally leading, fully systematic equity stat-arb business. Location: London, United Kingdom. Brief: The firm's specialist portfolio optimisation and construction team is seeking an additional researcher to expand its optimisation and alpha research capabilities. Responsibilities: • Develop and enhance portfolio optimisation and construction frameworks for systematic equity portfolios., • Perform alpha research to generate, test, and productionise predictive equity signals and strategies., • Design and implement risk models and factor constraints., • Integrate alpha forecasts, risk estimates, and liquidity constraints into scalable optimisation pipelines., • Research on turnover, capacity, and execution-aware portfolio construction., • Work collaboratively across the firm to deploy strategies into live trading. Requirements: • MSc or PhD in a quantitative discipline (mathematics, statistics, machine learning, physics, engineering)., • Strong foundation in statistics, optimisation, and equity market microstructure., • Advanced programming skills in Python., • Prior experience in buy-side quant research across systematic equities.

Head of AI Research & Engineering About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Head of AI Research & Engineering. The Role The Head of AI Research will be a key scientific and technical leader within Nxera, responsible for building and scaling our AI capabilities for molecular discovery. This is a role for a mathematically grounded innovator who thrives at the intersection of algorithm development, biological modeling, and scalable engineering. You will lead the design of generative AI systems, protein co-folding architectures, and graph neural networks (GNNs) and agentic AI, that help uncover new therapeutic possibilities. Working alongside leading computational scientists, data engineers, and domain experts, you will shape the future of AI-driven discovery at Nxera — advancing our mission to make precision medicines a reality. What You’ll Do • Define and deliver Nxera’s AI research & engineering strategy, driving innovation in molecular representation learning, protein structure modeling, and predictive algorithms for drug design., • Lead the creation of graph-based and geometric deep learning architectures for molecular and structural data, including protein co-folding and multimer prediction., • Oversee the mathematical and computational rigor underpinning all AI models — ensuring transparency, interpretability, and reproducibility., • Build and inspire a cross-disciplinary team of AI engineers, applied mathematicians, and computational biologists, fostering a collaborative research environment., • Collaborate across Discovery and Data Science teams to integrate AI models into experimental design and data interpretation pipelines., • Lead the deployment of scalable AI infrastructure and Agentic AI for biomolecular computation and model lifecycle management., • Engage with external research partners, academic collaborators, and technology providers to stay at the forefront of innovation in AI for drug discovery. What You’ll Bring • PhD (or equivalent experience) in Mathematics, Statistics, Computer Science, Computational Biology, or a related quantitative field., • 10+ years of experience in AI, computational biology, or applied mathematics, with a proven record of leadership in algorithm development or AI platform design., • Deep technical knowledge of PyTorch, TensorFlow, and cloud or HPC infrastructure for large-scale model training., • Strong foundation in statistics, probability, optimization, and high-dimensional data analysis., • Demonstrated success in translating AI research into applied outcomes in drug discovery, molecular design, or structural biology., • Expertise in machine learning for molecular systems, including graph neural networks (GNNs), transformer architectures, and protein folding / co-folding prediction. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

Quantitative Developer Industry: Energy / Commodities / Trading Technology Location: London - Hybrid Salary: £100-160,000 Base Salary + Market-Leading Bonus Potential X4 Engineering are delighted to partner with a leading commodities trading group who are seeking a Quantitative Developer to join their high-performing Pricing & Risk Technology function. The team builds and maintains the core valuation engines that support trading, risk, and quantitative research across energy markets and equities. In the role, you will drive the development and enhancement of the firm’s Python-based pricing library, the backbone of real-time and end-of-day analytics. You’ll work closely with quants, traders, and risk technologists to deliver fast, accurate, and scalable models for both vanilla and structured derivatives across Oil, Power, Gas, and Equity products. You will take ownership of implementing complex pricing models, designing calibration routines, integrating market data, and ensuring robust model performance in live trading environments. This position is well suited for someone who blends strong quantitative expertise with production-grade engineering skills and enjoys solving sophisticated modelling challenges. Key Requirements • 5–10 years’ experience in quantitative development, model engineering, or trading technology., • Advanced degree (Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline., • Advanced Python engineering capability (inc. NumPy/SciPy/Pandas)., • Strong understanding of derivatives pricing theory., • Background working with commodity or equity options, including structured derivatives., • Solid understanding of Greeks, risk measures, and valuation impacts in front-office contexts., • Exposure to cloud compute or CI/CD tooling (AWS, Docker/Kubernetes, Git/Jenkins)., • Experience supporting pricing models in live production environments is highly desirable. This role offers the opportunity to influence mission-critical pricing infrastructure used globally, while contributing to innovation in modelling, calibration, and performance optimisation. If you're interested in exploring this opportunity, please get in touch or apply directly via the job advert.

Title: Senior Quantitative Researcher / Sub-Portfolio Manager Location: London Team: Systematic Trading Strategies About the Role: Seeking a highly skilled and experienced Senior Quantitative Researcher or Sub-Portfolio Manager to join a systematic trading team. The successful candidate will play a key role in the full lifecycle of alpha research and strategy development, with the potential to manage risk capital independently or transition into a lead PM role over time Key Responsibilities • Design, research, and implement systematic trading strategies across global markets., • Conduct high-quality alpha signal research leveraging fundamental, alternative, and market data, using advanced statistical and machine learning techniques where appropriate, • Develop and test robust portfolio construction, execution, and risk management models specifically tailored to equity markets, • Work closely with data engineering and infrastructure teams to enhance research workflows, data pipelines, and backtesting capabilities, • Continuously monitor and refine model performance, ensuring strategies remain competitive and scalable, • Take ownership of strategy performance and contribute directly to the team’s overall equity P&L, • Opportunity to transition into a standalone PM role or run a systematic sub-portfolio within defined risk parameters Requirements • 5+ years of experience in quantitative research or trading with a focus on systematic strategies at a hedge fund, proprietary trading firm, or top-tier investment bank, • Proven track record of alpha generation or contribution to profitable systematic strategies, • Deep understanding of equity market microstructure, cross-sectional and time-series modeling, and portfolio optimization techniques, • Strong programming skills in Python, C++, or similar, with experience handling large equity datasets (e.g., fundamentals, estimates, alternative data), • Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics), • Excellent communication and collaboration skills, with a team-oriented yet performance-driven mindset

Role Join an innovative climate research institute dedicated to advancing the understanding and application of climate risk assessments, developing innovative methodologies. In this role, you will design and deliver integrated, next-generation frameworks to assess climate risk in real estate, evaluating acute and chronic physical hazards, energy-efficiency performance and retrofit potential, and exposure to policy and market drivers (building codes, EPCs/labels, carbon pricing). You will also assess potential mitigants such as resilience and decarbonisation measures to translate asset-specific vulnerabilities into clear financial outcomes (CapEx/OpEx, NOI, valuation, PD/LGD, and stranded-asset risk). The methodologies and tools you build will be used by corporates and investors to quantify, price, and manage climate-related risks and opportunities at both asset and portfolio level. You will work in a collaborative and interdisciplinary environment, leveraging scientific research to deliver methodologies and outcomes that drive decision-making across industries. Responsibilities • Conduct advanced research on climate risk quantification for real estate assets considering the main aspects from physical to transition risk, with a large focus on policy and market risk drivers,, • Translate technical outputs into financial metrics for lenders, insurers, and asset owners., • Design asset-specific methodologies that quantify how physical risk, energy efficiency, and retrofit options translate into asset specific risks; adapt and improve existing numerical models (e.g., CRREM, building archetype/stock models, LCA models) to local contexts and data., • Assist integration of developed model into reproducible pipelines (versioning, documentation, and model validation/back-testing)., • Integrate EPC label datasets; evaluate data coverage/quality and propose pragmatic substitutions or calibration strategies where needed. Explore the use of additional data such as LCA/EPD., • Collaborate with interdisciplinary teams to create innovative tools and models for climate risk assessments that address real-world challenges., • Engage directly with financial institutions and real-estate operators to align methods with regulatory requirements and real-world workflows., • Publish high-impact research in scientific journals and contribute to conferences, workshops, and industry forums., • Stay informed on emerging climate policies, technological advancements, and market trends, in relation to regulations, potential applications, and quantitative methods, to incorporate them into assessments and recommendations. Requirements • Advanced degree (PhD or Master’s + experience) in building/energy systems, environmental engineering, economics, data science, or a related field, with relevant components related to real estate and climate risks., • 5+ years applying quantitative methods to the built environment/real estate (research, consultancy, finance, or industry)., • Proven expertise in transition-risk modelling for real estate, including Scope 1–3 GHG accounting and scenario analysis (e.g., NGFS/IEA/custom)., • Strong grasp of building physics & systems (HVAC, envelope, DHW, controls) and energy performance metrics (EUI, load profiles, EPC/labels)., • Hands-on with retrofit analysis: technical/economic feasibility, abatement cost curves, and sequencing of measures., • Strong command of Python or similar languages to develop quantitative models and analyse complex datasets., • Ability to translate technical outputs into financial impacts., • Clear, concise communication for both technical and non-technical audiences; strong writing for methods notes and client materials., • Demonstrated interdisciplinary collaboration (climate, engineering, economics, data engineering). About EDHEC Climate Institute Institutional context Operating from campuses in Lille, Nice, Paris, London and Singapore, EDHEC Business School is ranked in the top ten European business schools. With more than 110 nationalities represented in its student body, some 50,000 alumni in 130 countries, and learning partnerships with 290 institutions worldwide, it is truly international. EDHEC Business School has been recognised for over 20 years for its expertise in finance. Its approach to climate finance is founded on a commitment to equipping finance professionals and decision-makers with the insights, tools, and solutions necessary to navigate the challenges and opportunities presented by climate change. EDHEC has developed a significant research capacity on the financial measurement of climate risk, which relies on the best researchers in climate finance, and brings together experts in climate risks as well as in quantitative analysis. The DNA of EDHEC's work has also resided, since its origin, in the ability to generate business ventures, by encouraging spin-offs based on the research work of its teams. EDHEC is currently involved in 3 ventures: Scientific Portfolio, SIPA Metrics, and Scientific Climate Ratings. Mission and ambitions The EDHEC Climate Institute (ECI) focuses on helping private and public decision-makers manage climate-related financial risks and make the most of financial tools to support the transition to a low-emission economy that is more resilient to climate change. It has a long track record as an independent and critical reference centre in helping long-term investors to understand and manage the financial implications of climate change on asset prices and the management of investments and climate action policies. The institute has also developed an expertise in physical risks, developing proprietary research frameworks and innovative approaches. ECI is also conducting advanced research on climate transition risks, with a focus on supply chain emissions (Scope 3), consumer choices, and emerging technologies. As part of its mission, ECI collaborates with academic partners, businesses, and financial players to establish targeted research partnerships. This includes making research outputs, publications, and data available in open source to maximise impact and accessibility. Attractive salary and bonus, healthcare and pension plan coverage. The salary will be determined according to EDHEC's pay scale, the candidate's qualifications and experience. To apply, please send your CV and a cover letter (pdf format). Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21 days, please assume your application has not been successful on this occasion.

We are seeking talented individuals passionate about software development, large-scale data analytics, and driving AI-led innovation. Ideal candidates will have: • 4+ years of experience in a technology consulting environment, • Strong ability to apply software development practices and standards to build robust, maintainable solutions, • Hands-on involvement throughout the software development life cycle, • Experience guiding non-technical teams and consultants on best practices for software development, • Skills in optimizing and enhancing computational efficiency in algorithms and software design, • Motivation to thrive in a fast-paced, client-facing environment, contributing to new features and future product releases, • A collaborative mindset, eager to share ideas and solutions within teams, • Natural problem-solving ability and intellectual curiosity across diverse industries and topics, • Design and build data & AI platforms for clients, enabling data and (Gen)AI capabilities across a wide range of use cases, • Contribute to large-scale AI transformation journeys, • Work across engineering disciplines such as:, • Cloud Engineering, • Data Engineering (framework design and build, not pipelines), • DevOps, • MLOps / LLMOps

At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a brilliant Infrastructure Engineer to build the secure, scalable engine that makes it all possible. 🏗️ The Role: Founding Infrastructure Engineer You’ll be joining the leanest, most talent-dense engineering team in London. You aren't just managing servers; you are designing the multi-region, high-throughput systems that handle complex AI workloads. What you’ll own: • Cloud Architecture: Design and maintain our AWS environment using Terraform, optimizing for reliability, cost-efficiency, and massive scale., • Global Footprint: Build infrastructure patterns for multi-region deployment and fully isolated single-tenant environments for enterprise customers., • Developer Velocity: Architect CI/CD pipelines (GitHub Actions, Docker) that allow our team to ship safely and quickly., • Observability & Reliability: Instrument the stack with OpenTelemetry and Datadog to ensure we detect issues before our users do., • AI Performance Tuning: Tune autoscaling and network routing to handle resource-intensive LLM workloads with ultra-low latency. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. • Traction: 20-30% MoM revenue growth; selling to 200+ global IP teams (DLA Piper, tech boutiques, and global enterprises)., • Proven Value: Users report 50-90% efficiency gains using our AI platform., • Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Insight Partners, Y Combinator, and HOF Capital. 👋 Your Team You’ll partner with a founding team of AI PhDs and elite systems engineers: • Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture of "hackers" and builders. • Speed & Safety: You believe that great infrastructure is what allows application engineers to move faster., • Extreme Ownership: You strive for excellence in every configuration and take pride in "five nines" reliability., • Driven & Humble: You are willing to go the extra mile (including the occasional late night or weekend) to ensure our systems are bulletproof. 🛠️ What You Bring Must-Haves: • 5+ Years Experience: Owning and scaling cloud infrastructure (AWS preferred)., • IaC Expert: Professional mastery of Terraform or similar., • CI/CD Veteran: Proven track record of building deployment pipelines that don't break., • Security First: Deep understanding of IAM, cloud networking, and security best practices. Preferred & Nice-to-Haves: • Experience with ECS, container orchestration, and distributed task queues (Celery/SQS)., • Strong Python skills., • Familiarity with the Datadog/Grafana observability stack., • A background in offensive security, CTFs, or AI/ML infrastructure. 🎁 What We Offer • Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company., • Founding Impact: You will have a direct hand in every architectural decision we make., • Support: Full visa sponsorship and private medical insurance., • The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to build the backbone of the future of AI? Apply now. 🚀

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

Position: Associate Lecturer/Lecturer in Computing Location: London Salary: £38,000 Per Annum Type: Full-Time Contract: Permanent Requirement: Full right to work in the UK About NCG Higher Education Centre The NCG Higher Education Centre is part of NCG, one of the UK’s largest and most inclusive education groups. Based in London, the Centre delivers a range of higher education programmes designed to equip students with the necessary skills, knowledge and confidence to succeed in their chosen careers. Our mission is to make higher education accessible, flexible and relevant, while fostering academic excellence and professional growth within a supportive, diverse learning community. Purpose of the role As a lecturer you will contribute to the delivery of high-quality teaching, learning, and assessment across a range of programmes within the Higher Education Centre. You will inspire and support students to reach their potential, ensuring they are equipped with both the academic foundation and practical skills needed for professional success. You will also play an active role in course development and quality enhancement, helping to create an engaging and inclusive learning experience. Main duties and responsibilities (This list is not exhaustive and may adapt over time depending on the needs of the organisation) • Deliver high quality teaching and learning across a range of programmes within a higher education environment., • Tutor students, providing tailored support to help them achieve their academic goals and progress positively., • Contribute actively to the development and continuous improvement of courses, liaising effectively with staff and students., • Contribute to the production of module/unit specific schemes of work., • Mark assessments appropriately in accordance with the assignment brief and marking criteria., • Implement measures to understand students' learning needs, • Support students with timely formative feedback as required by each programme specification., • Mark and provide summative feedback within the prescribed timeframe set by the assessment team., • Provide timely, constructive formative feedback in accordance with programme specifications to support student development., • Ensure compliance with programme expectations and guidelines, • Produce appropriate module/unit reports., • Maintain effective communication with students and colleagues to support a collaborative and professional learning environment., • Engage in continuing professional development (CPD) to maintain subject knowledge, teaching expertise, and awareness of sector developments., • Create high-quality digital and/or written content to support teaching delivery, including lecture materials, online resources, and learning activities., • Contribute to the development of innovative and engaging learning content aligned with current curriculum requirements., • Take on leadership responsibilities, such as serving as Module Leader where appropriate, overseeing the effective delivery of the module, coordinating teaching teams, managing resources, and ensuring academic standards and quality assurance processes are consistently met. Skills and Qualifications Essential Requirements: • Master's degree and/or a PhD in the relevant area., • Previous lecturing experience for similar courses at HEI level., • Work in line with Blackboard / VLEs, MS Teams / Zoom. Desirable Requirements: • Experience working in the industry of your subject., • Teaching qualifications: PGCHE, MA in HE Practice, or FHEA, etc. Why Join Us Joining NCG Higher Education Centre means becoming part of a forward-thinking institution where innovation, inclusion, and impact drive everything we do. You’ll work alongside a passionate team of academics and professionals who are committed to empowering learners and transforming lives through education. Benefits • Generous Annual Leave (5.6 weeks) + Bank holidays, • Workplace Pension Scheme, • Company Sick Policy, • Statutory Maternity/Paternity Pays, • Training and Self-development Opportunities, • Gym Membership Discounts, • Retail Discounts, Cinema Discounts & Grocery Discounts, • Investing and Savings Opportunities, • Financial Wellbeing Education & Personal Debt Advises, • My Mind Pal (mental fitness)

Vertex Search is proud to be working in exclusive partnership with one of the most impressive and impactful research labs of the last decade. With a world-class team of researchers and engineers, they are building tech-for-good products designed to fundamentally reshape how we approach science and technology and tackling some of the world’s hardest problems in medicine, humanity, and sustainability. As they enter a critical stage of growth, they are seeking a Director of Product Management (Applied Machine Learning) to play a pivotal role in defining and driving their AI strategy. This person will lead the development of AI-powered products across global programmes, operating at the intersection of cutting-edge research and real-world impact. As Director of Product Management, you will: • Be motivated to build impactful AI products that accelerate scientific and technological progress., • Thrive in fast-paced environments where the mission comes first., • Lead and inspire diverse, interdisciplinary teams - aligning scientists, engineers, and stakeholders around a shared product vision. Key Responsibilities Leadership • Define the applied AI strategy, aligned with programme missions, organisational priorities, and long-term company goals., • Work closely with senior leadership to identify and capitalise on high-value AI/ML opportunities., • Translate complex scientific and business problems into tangible, high-impact AI solutions. Product Execution • Lead cross-functional product teams (data science, engineering, software, and science) to build AI products from the ground up., • Act as the bridge between technical and non-technical stakeholders, ensuring clear roadmaps and products that solve real-world problems. Essential Skills • Proven track record of leading AI-driven products and delivering high-impact outcomes., • Experience in sectors such as health tech, energy, materials science, agritech, or related fields., • Strong background in leading cross-functional teams and collaborating effectively across disciplines., • Deep understanding of AI/ML concepts and modern software development processes., • Ability to translate high-level goals into successful products — managing complex end-to-end lifecycles, setting OKRs, and ensuring programme success. Preferred Qualifications • Advanced degree (MS or PhD) in a technical or scientific discipline., • Previous startup experience, ideally within a high-growth, mission-driven environment., • Familiarity with global technology and policy landscapes relating to AI, data science, and scientific translation.

Medical Advisor - UK & Ireland (Migraine/CNS) We are seeking an experienced Medical Advisor to lead Medical Affairs activities for migraine across the UK & Ireland. This role is ideal for someone passionate about scientific excellence, strategic impact and building strong relationships within the neurology community. Key Responsibilities: • Drive execution of the Medical Affairs plan and support strategic initiatives in migraine/CNS., • Build trusted relationships with Scientific Leaders and Key Decision Makers., • Provide scientific expertise to internal teams and contribute to medical education programs., • Translate global strategy into local tactics, ensuring ethical, compliant medical support., • Review promotional materials, gather actionable insights and support regulatory interactions. What We’re Looking For: • MD, PhD, PharmD, or equivalent., • 2+ years’ experience as a Medical Advisor., • Strong knowledge of ABPI Code, regulatory frameworks and clinical research., • Background in neurology/migraine preferred., • Strong communication skills and strategic mindset. If you're motivated to make a meaningful impact in the CNS field, we’d love to hear from you.

UK | Field-Based | Medical Affairs We’re looking for an experienced Medical Science Liaison to act as a trusted scientific partner to healthcare professionals within the endocrinology space. This is a field-based role focused on high-quality scientific exchange, KOL engagement, and insight generation to support an innovative endocrine portfolio. The Role You’ll serve as a critical link between clinicians, research, and internal medical teams, with responsibilities including: • Building and maintaining strong relationships with Key Opinion Leaders and specialist centres, • Delivering high-quality scientific presentations and educational activities, • Supporting advisory boards, peer education, and speaker development, • Gathering meaningful medical insights to inform strategy and clinical thinking, • Engaging appropriately to support advances in patient care and guideline evolution, • Collaborating cross-functionally while operating autonomously in the field, • Ensuring full compliance with the ABPI Code of Practice and ethical standards About You • Proven experience as an MSL (or similar medical affairs role), • Degree in life sciences (MSc or PhD preferred), • Strong ability to communicate complex science clearly and credibly, • Confident engaging senior clinicians and KOLs, • Analytical mindset with the ability to interpret clinical data and competitor trials, • Digitally confident and comfortable with virtual and face-to-face engagement, • Highly organised, proactive, and able to manage multiple priorities Why Apply? • High-science, high-credibility medical role, • Strong focus on education, insight, and strategic impact, • Autonomy in the field with meaningful clinical engagement Please Apply now using the "Easy Apply" button.

Lead the Physical Performance Programme for West Ham United Women’s First Team West Ham United Football Club is seeking an exceptional and forward-thinking Head of Physical Performance to join their Women’s First Team. This is a rare opportunity to shape and lead a progressive physical development strategy for an ambitious and evolving high-performance environment in the Women's Super League (WSL). The Impact You’ll Make In this pivotal leadership role, you will oversee the physical performance programme for the Women’s First Team, ensuring it aligns with club-wide sports science methodology and represents best practice in elite female athlete development. You will lead the planning, delivery and analysis of physical performance strategies, embedding yourself in the daily training environment to integrate physical preparation seamlessly into football-specific work. Your influence will extend across on-pitch conditioning, gym-based S&C delivery, testing, monitoring, injury prevention and return-to-play processes. You will also play a crucial role in operational performance planning, contribute to the long-term evolution of the club’s Physical Development strategy, and support the progression of Academy players and staff into the First Team environment. As a visible and proactive leader, you will manage a team of sports science professionals, collaborate closely with coaching staff, and drive innovation through applied research and partnerships - including overseeing a PhD project with Loughborough University. Key Responsibilities • Lead the design, delivery, and evaluation of the physical performance strategy for the Women’s First Team., • Oversee player profiling, physical testing, and performance analysis to inform individual and team development plans., • Implement and manage monitoring systems covering workload, wellness, and neuromuscular status., • Deliver high-quality S&C programming aligned to technical, tactical and physiological outcomes., • Integrate sports science principles within football training through close collaboration with coaching staff., • Design, support and track injury prevention and return-to-play strategies., • Ensure smooth performance logistics and operational standards across day-to-day MDT function., • Contribute strategically to the club’s long-term performance framework and the evolution of its Physical Development strategy., • Support the development of Academy players and staff to ensure successful transitions to First Team football., • Lead, develop and mentor sports science staff while fostering strong relationships across the MDT., • Oversee external research partnerships, including the Loughborough University PhD project focused on youth training demands. What We’re Looking For We are seeking a collaborative, innovative, and impact-driven practitioner who can thrive in a fast-paced, elite women’s football environment and influence effectively across multidisciplinary groups. Essential: • MSc in Sport Science or relevant discipline, • UKSCA accreditation, • Proven experience delivering and managing sports science/S&C within an elite sports environment, • Strong evidence of physical profiling and performance programming, • Experience working with female athletes and knowledge of female-specific development and periodisation, • Demonstrable ability to lead, influence and collaborate within a high-performance MDT Attributes: • Excellent communication and interpersonal skills, • Highly organised with strong prioritisation abilities, • Analytical thinker capable of applying data effectively to practice, • Committed to innovation, continuous learning and professional development, • A team-first approach aligned with the club’s values and high-performance culture Why West Ham United? West Ham United is committed to excellence across all areas of the Women’s programme. This role offers the chance to join a forward-thinking club during an exciting period of growth, working within a supportive multidisciplinary environment that prioritises player welfare, development and high performance. This is a full-time role based at Chadwell Heath Training Ground, with travel required for matches and training camps. The Executives in Sport Group are retained exclusively on behalf of West Ham United to manage this appointment. All direct applications will be forwarded to The Executives in Sport Group. Please submit your CV and a supporting statement outlining your suitability and motivation for the role. Applicants are also encouraged to complete our voluntary and anonymous Diversity Monitoring form: Due to expected application volume, we are unable to provide specific feedback to unsuccessful applicants.

Based between London and Cambridge this Hybrid opportunity (3 days per week) exists for to join an exciting company. This position is Hybrid and will focus on the development of disruptive technologies for HPC, AI / ML Technologies for real time Imaging. This role will focus on Algorithms development to optimise Metaheuristic optimisation and also develop code and to test it. The successful applicant will have a good relevant Degree or PhD with proficiency in Algorithm Software Development utilising Python, C++ or C#, along with: • Experience in Metaheuristic optimisation, • Experience with AI/ML Techniques, • Exposure to cloud-based data pipelines for large-scale test data processing for Data Centres. The successful candidate could be straight out of a PhD or someone with extensive experience, there is a very wide salary band on offer for this, so please do apply if you have any experience in Metaheuristic optimisation or experience of AI lead, this role can flex between the two. The company offers excellent benefits, share options, flexible working and a bonus. Please apply for more information.

Gravitas Group is Hiring: Underwriting Data Analyst Location: London (Hybrid) Employment Type: Permanent Industry: Insurance Salary: Up to £60,000 pa + Benefits Gravitas Group is recruiting on behalf of a leading insurance organisation for an Underwriting Data Analyst. This is a fantastic opportunity for a data-driven professional to play a key role in shaping underwriting and portfolio management decisions through high-impact reporting and dashboard development. About the Role As an Underwriting Data Analyst, you’ll be responsible for developing and managing reporting tools that enable stakeholders to assess underwriting performance. Your work will directly support leadership, underwriting franchises, and central functions in making informed, data-led decisions. Key Responsibilities • Develop new underwriting dashboards for leadership and key stakeholders, • Maintain and enhance existing dashboards to ensure accuracy and relevance, • Own documentation for dashboard development, data sources, quality checks, and publishing processes, • Manage and automate dashboard quality control (QC) processes, • Make approved changes to internal databases to support dashboard development, following governance protocols, • Automate recurring outputs for portfolio management, including board-level reporting, • Maintain and prioritise the Portfolio Management team’s project pipeline, • Represent the team in IT and BI prioritisation forums to ensure strategic alignment Skills & Experience • Strong problem-solving skills, • Proven experience with SQL, Power BI, and Microsoft Excel, • Excellent communication skills, with the ability to simplify complex analytics for senior stakeholders, • Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Mathematics), • Experience in the insurance or Lloyd’s market, • Familiarity with IT change control processes, • Master’s or PhD in a quantitative discipline (preferred) What’s on Offer • A chance to work with a forward-thinking insurance organisation, • Direct exposure to senior leadership and strategic decision-making, • A collaborative, data-driven team environment focused on innovation and automation

Global commodities trading and clearing group A unique opportunity for a mid-level quantitative modelling professional. This role will apply analytics, validation and governance to a broad portfolio of clearing (CCP), pricing and interest rate models Responsibilities • Perform deep dives into specific risks to quantify and develop mitigation strategies - conduct workshops and scenario analysis, • Horizon scan across the business, the Global commodities industry (principally metals and minerals), supply and geo-political factors to identify emerging risks and opportunities - analyse the impact of the areas identified on the business., • Define and develop risk controls, reports, and dashboards to monitor and report on risk exposures, • Assess the effectiveness of the existing Risk Framework., • Provide oversite and challenge to the first line through governance forums, ad-hoc risk analysis and independent reviews., • Prepare periodic reports and briefing papers on risk exposures for senior audiences., • Define and develop risk controls, reports, and dashboards to monitor and report on risk exposures, horizon risks and the effectiveness of the Risk Framework. Skills • Degree in a quantitative discipline - Masters or PhD would be a plus., • Professional risk qualification (or studying towards) would be beneficial (e.g. FRM)., • Knowledge of market, credit and liquidity risk models and industry best practice., • Specific exposure to CCP models from a validation and governance perspective would be a major benefit, • Exposure to a commodities clearing and exchange environment would be ideal, • Knowledge of the associated regulatory environment. If you are interested in this opportunity please contact Simon Bradbury -

Job Description Role Overview: • Apply cutting-edge AI and deep learning methods to communication system challenges., • Contribute to high-impact research with opportunities to publish at leading AI or communication venues (NeurIPS, IEEE, etc.)., • Currently pursuing (or recently completed) a PhD, preferably in Electrical Engineering or related quantitative fields., • Background in wireless communication systems, e.g., OFDM and MIMO technologies., • Track record of related publications or successful projects., • Proficiency in Deep Learning frameworks (PyTorch, JAX)., • Familiarity with advanced AI methods (e.g., transformer models)., • Excellent scientific communication and teamwork skills.

• Own product design execution from end to end, • Work closely with engineering, R & D and implementation, • Drive the visual design of user interaction, • Create aesthetically pleasing product UI and reporting, • Conduct research and usability testing, • Adopt new tools including AI assisted design and coding tools, • Align design work with business and customer goals, • Report to the CTO, • Must have 5 years + in product design and UI visualisations, • Deep experience in end to end software product design within the cybersecurity SaaS arena, • Should excel at visual design, • Degree educated, • Articulate with a collaborative approach, • Seed funded start-up, • Tech has been spun out of PhD group at leading University, • Office locations in USA and the UK, • Disruptive offensive AI security platform that enables organisations to map their AI attack surfaces, • Impressive leadership team with rolodex of successful exits behind them

Lead Engineer – Agentic AI Systems 🚀 Start-up-style engineering team inside a global consulting powerhouse 🚀 Peer group of world-class AI engineers and researchers 🚀 Own and build production-grade multi-agent systems end-to-end 🚀 High-velocity environment with huge technical autonomy 💸 £130k – £160k + bonus 📍 UK-wide flexible / some travel required to client site We’re hiring a deeply technical, hands-on Agentic AI Technical Lead to design, build, and ship advanced multi-agent systems used in real-world enterprise and government environments. This role is ideal for someone who loves building, not just advising: think Forward Deployed Engineer, Principal/Staff AI Engineer, or Member of Technical Staff who’s ready to lead technically, own architecture, and guide an engineering team—without stepping into corporate exec-land. You’ll set technical direction, define engineering standards, and stay extremely close to the codebase while working with some of the strongest Agentic AI talent in the industry. What You’ll Build & Lead • Architect multi-agent systems (ReAct, CoT loops, LangGraph, MCP) from scratch, • Productionise agentic systems with evaluation, observability, and rigorous testing, • Scale deployments across SQL workflows, pandas, RAG pipelines, and distributed compute, • Define modern evaluation standards (Pass@N, multi-run testing, tool reliability gates), • Lead client technical sessions and shape solution design (no exec stakeholder wrangling), • Provide hands-on technical leadership to high-performing engineers, • Stay ahead of frontier LLMs, orchestration frameworks, and agent-design innovations What You Bring Required • Strong academic background in AI/Computer Science/Machine Learning (MSc/PhD ideal), • Proven experience of building production agentic AI, ML, or AI engineering systems from scratch, • A history of technically leading teams while staying hands-on, • Deep software engineering foundations: deployment, evaluation, monitoring, optimisation, • Familiarity with agentic frameworks (ReAct, LangGraph, tool orchestration), • Strong communication skills for technical workshops and solution shaping Preferred • Experience with PyTorch/TensorFlow, vector DBs, RAG, distributed inference, • Background in start-ups, high-performance engineering groups, or technical consulting, • Experience navigating complex industries or regulated environments, • Bias toward action, experimentation, and independent delivery Why Join This is a rare opportunity to lead without leaving the code, shaping one of the most advanced Agentic AI engineering capabilities in the consulting world. You’ll work in an environment that prioritises experimentation, fast iteration, and technical impact—building real systems, not slideware.

Systematic Literature Reviewer / Evidence Synthesis Consultant An exciting opportunity to join a steadily growing Global HEOR consultancy with one of the best staff turnover rates in the entire healthcare consulting space, offering full remote flexibility, a healthy work life balance and genuinely people focused, fun culture! You'll be joining a technically-excellent, supportive, and friendly team, that pride themselves on a inclusive and collaborative culture, a fun, personable company, where technical teams work closely with each other, enabling all to learn from some of the best minds in the industry. The role The purpose of the role is to support and lead on the design and execution of clinical, economic and quality of life systematic literature reviews. You will work alongside expert technical teams to support development of health technology assessment submission dossiers or work with internal systematic review analysts and statisticians to conduct de novo global literature reviews. Role scope/responsibility: Conduct and help supervise systematic literature review and evidence synthesis projects: • Design, • Running of searches, • Review of title, abstract and full papers, • Data extraction, • Quality assessment, • Reporting Undertake and assist in project management activities on SLR projects: • Project planning, • Client communication, • Managing/reviewing the work of other SLR analysts Ideal profile: • MSc/PhD in relevant field, • Extensive SLR experience, including clinical and economic SLR, • Minimum 3+ years in a consulting firm/CRO highly desirable or several years relevant academic or public sector setting, • Hands on experience of network meta-analysis an advantage, but not essential, • Exposure to HTA processes and Pharma clients/private sector clients This is a technical hands on position, giving you a pathway to develop leadership, client management and commercial skills, or stay in the 'technical SME lane' under the guidance and support of an established leadership team. The choice is yours! Apply now for more info on the role, company, and to discuss your motivations in more detail.

Remote contract for PhDs in Biology, Biotechnology, Biochemistry, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your biology knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced biology questions to test AI performance., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level biology topics. Requirements: • PhD (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a related field., • Strong biology reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experienc required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

PhD Graduate Software Engineer – Central London (flexible remote) - £40,000 - £45,000 Greenfield Projects | Progression Opportunity | Variety in Technology | Remote Working (Once a Fortnight Meet-Up) Ada Meher is currently resourcing for a candidate to join their client, a market leading consultancy, who are looking to add to their Software Development resource due to the demands of their upcoming project wins. The client always strives to use a “best fit” technology approach to solve their client’s software requirements resulting in a great opportunity to get exposure to a wide variety of tech – no two projects are ever the same. There will also be the opportunity to get involved across the full software development life-cycle from requirements gathering with clients right through to delivery. The business operate with a high degree of remote flexibility, meeting up as a team in the office once every fortnight, so they are open to applications from candidates across the UK but any applicants must be willing to travel into London as needed. The ideal candidate will have high level academic achievement with good algorithmic ability, and preferably a background in computer science or mathematics, and be enthused by the chance to develop creative solutions to enterprise level problems. Given the greenfield nature of the work there is plenty of opportunity for input from all levels on the design of the solution and a real chance for the right person to really make their mark. Those that come in and make an impact can expect to progress quickly as they develop their skills commercially, with progression based on measurable targets not time in role. To be considered: • Experience working with (academic experience is fine) or knowledge of programming (Python, R, MATLAB, C# etc), • Strong communication skills, • Educated to PhD level, • Demonstrable experience working with algorithms/problem solving The company in question is a market leader not only in the solutions that they provide to their clients internationally but also the technology the work on and the environment they create with many perks such as remote working and healthcare benefits. They aspire to create a relaxed environment where people can work on forward thinking technology solutions. This PhD Graduate Software Engineer role is attracting a high number of applicants at the moment so be sure to get in contact ASAP to avoid missing out. Please send a CV in confidence for more information.

Job Description About Us MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL. About The Internship We are seeking highly motivated and talented PhD students to join our AI research team for a 3–6 month internship. This is an opportunity to contribute to cutting-edge projects alongside experienced researchers and engineers, while gaining real-world research experience in a collaborative environment. The internship is ideal for individuals who are curious, self-motivated, and excited to work at the intersection of theory and application. Interns are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of their work. Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors and communication systems, and the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- • Contribute to ongoing research in machine learning and artificial intelligence, • Help develop and implement algorithms, • Collaborate with researchers and engineers to explore and evaluate new ideas, • Assist in preparing publications and technical reports, • Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field, • Strong interest in research and a background in machine learning or a related area, • Experience with programming languages such as Python, C++, or similar, • Strong problem-solving skills and ability to work independently and collaboratively, • Experience in optimization, reinforcement learning, and/or large language models (LLMs), • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX), • Gain hands-on experience in state-of-the-art AI research with real-world applications, • Collaborate with a team of world-class researchers and engineers, • Contribute to open-source efforts and scientific publications, • Work with and learn from leading academic and industry experts, • Hybrid work arrangement

Head of AI Research | High-Growth Start-Up | London We’re seeking a Head of AI Research to spearhead the technical vision and growth of an ambitious, well-funded early-stage start-up redefining what’s possible with intelligent systems. You’ll lead a world-class team of researchers and engineers, setting the direction for AI innovation while staying close to the code and experiments that make it happen. This is a rare opportunity to join at a pivotal stage of the company’s journey - where your decisions will shape both the technology and the team from the ground up. What You’ll Bring • MSc or PhD in AI, Machine Learning, Computer Science, Robotics, or a related quantitative field., • 5+ years working at the intersection of research and engineering, translating state-of-the-art AI into production systems., • Proven leadership experience - mentoring researchers, building high-performance AI teams, and setting technical roadmaps., • Strong programming expertise in Python, C++, Rust, or Java., • Publication record at leading AI/ML conferences or journals (e.g. NeurIPS, ICLR, CVPR, ICCV, ICRA)., • Clear communication skills, capable of bridging the gap between research depth and business strategy., • A builder’s mindset - hands-on, experimental, and eager to solve complex problems with pragmatic AI solutions., • Preference for on-site collaboration in London, contributing to a fast-moving, high-energy environment. Why Join As Head of AI Research, you’ll define the core research agenda, establish best practices for experimentation and deployment, and ensure AI becomes a key driver of innovation across the organisation. You’ll work with founders, product leaders, and engineers to turn breakthrough ideas into real-world impact. Head of AI Research | High-Growth Start-Up | London

In the fast-changing world where our clients deliver life-changing medicines and technology, Cognite’s dynamic team drives our mission of bringing science to life. As an independent agency, we create clear, compelling communications, focusing on the transformative therapies that are inspiring the future of healthcare and the highly complex diseases they treat. Our Copy team enjoys independence and ownership across a wide variety of projects. Supported by our expert Editorial and PromoMats teams, our writers are able to truly focus on turning complex science into compelling stories and brand messages. We are looking for a Principal Medical Writer to join our growing team. You will be responsible for: • Developing an in-depth scientific knowledge of allocated accounts and using this to shape the communications for our clients’ brands, • Taking the lead on scientific discussions with medics and external experts, proactively making suggestions that are valued by the client, • Developing content for a full range of projects and taking wider responsibility for work on allocated accounts by overseeing, briefing and reviewing the work of other writers, • Contributing to the scientific strategy and ensuring messaging and content are aligned with the overall brand strategy, • Collaborating with internal colleagues, including account managers, creatives, editors and medical strategists, to ensure the seamless delivery of projects, • Sharing knowledge and expertise, as well as providing expert advice and guidance on brands and therapy areas to internal stakeholders, • Staying updated on industry trends, guidelines and best practices to inform and enhance the quality of our medical writing, • Contributing to business growth by proactively identifying opportunities, attending pitches and contributing to written proposals With a deep interest in science and medical communications, we believe someone with the following experience could be a good match for this role: • An undergraduate degree in a relevant science (essential) or a postgraduate qualification or PhD (desirable), • Proven experience in medical writing within a medical communications agency or similar environment, • Excellent written and verbal communication skills, • Ability to work both independently and collaboratively in a fast-paced environment Cognite’s agency values – Everyone matters; Science at the heart; Entrepreneurial Mindset; True partners; and Doing the right thing – shape how we work every day. We believe every individual can make a positive difference; we put science at the core of everything we do; we embrace curiosity and courage to find solutions; we build lasting partnerships focused on shared goals; and we act with integrity and inclusivity in all our interactions. Our benefits include: • Discretionary company bonus and incentive schemes, • Hybrid working (home-based + co-working space in Holborn, Central London), • Private healthcare, • Frequent social and team events, • 24 days’ holiday + bank holidays

Graduate Land Analyst Location: London (Hybrid) Salary: £35,000 + performance-based bonus £5000 - £10,000 Reports to: Head of Commercial Start date: ASAP (2024/2025 Graduate) About the Company Our client is a fast-growing renewable energy developer specialising in on-site solar and battery storage for commercial and industrial power users across the UK. They design, fund and operate behind-the-metre clean energy assets that help organisations reduce emissions, lower energy costs and improve energy security, without the need for upfront capital expenditure. As the business scales its UK pipeline, they are looking for a bright and motivated Graduate Land Analyst to join the commercial and development team. Business Strategy The Opportunity This is an excellent opportunity for a graduate who wants to build a career at the intersection of land, planning and renewable energy. You will play a key role in identifying and assessing potential sites, supporting landowner engagement, and helping to build the commercial and planning case for new projects. Working in a small, entrepreneurial team, you will gain exposure to the full development lifecycle and have the chance to take on responsibility early. Key Responsibilities • Identifying LPU’s to target and qualifying leads, • Analysing land using the client’s in-house methodology, with a focus on planning policy, grid and land-use constraints, • Supporting landowner engagement, including liaison with external agents, surveyors and legal representatives, • Maintaining the CRM with accurate and relevant data on sites, stakeholders and deal progress, • Understanding and operating the financial model used to assess land opportunities and project returns, • Collaborating and aligning with the Commercial Team on site prioritisation and origination strategy, • Assisting in the conduct of market analysis to support senior management decision-making, • Supporting the business through ad hoc tasks typical of a high-growth start-up environment Skills and Experience Required • Degree educated (RICS-accredited degree in Renewable Energy, Real Estate, Planning or a related discipline preferred; Masters/PhD advantageous), • Knowledge of the UK planning system and an interest in land and property development, • Ability to think strategically while being comfortable working with detail and structured analysis, • Demonstrable ambition to join a fast-growing company and work in a small, close-knit team, • Excellent negotiation, communication and relationship-building skills, • A genuine interest in renewable energy, sustainability and the energy transition What’s on Offer • The opportunity to join a high-growth renewable energy developer at an exciting stage, • Early responsibility and broad exposure across land, planning, commercial and finance, • Close collaboration with senior stakeholders in a lean, entrepreneurial environment, • Hybrid working from a London base, • Clear scope for progression as the portfolio and team continue to grow How to Apply This position is aimed at 2024/2025 graduates. You must be able to start in January 2026. Please submit your most up-to-date CV and a Recruiter will be in touch with you to discuss the position in more detail.

We are partnering with a venture-backed biotechnology company in London, building a discovery platform grounded in deep immunology. This role sits at the heart of target identification and biological validation, with a strong focus on T17-driven immune pathways and inflammatory disease. You will join a small, highly technical team where primary biology informs platform strategy, portfolio decisions and the creation of new therapeutic programmes. What you will be doing • Driving target discovery efforts centred on T17 cell biology and adaptive immune dysfunction, • Designing and executing mechanistic studies to validate novel immune targets and pathways, • Building and refining cellular and functional assays to interrogate immune activation, differentiation and signalling, • Applying advanced immunology techniques including flow cytometry, cytokine profiling and cell based readouts, • Integrating experimental data with external datasets and literature to strengthen target hypotheses, • Contributing to go or no go decisions at the earliest stages of programme development, • Working closely with leadership and platform scientists to shape scientific direction and pipeline strategy, • Presenting data and biological rationale clearly for internal decision making and investor level discussions What we are looking for • PhD or equivalent experience in immunology or a closely related field, • Deep expertise in T17 cell biology and inflammatory immune pathways, • Strong background in target discovery, early validation or mechanism driven research, • Hands on experience with cellular immunology assays and functional immune models, • Ability to think strategically about biology beyond individual experiments, • Comfortable operating in an early stage, VC backed environment with high scientific accountability Why this role This is a rare opportunity to work at the intersection of discovery science and company creation. You will have direct influence on how targets are selected, how programmes are built and how a platform evolves from first principles. If you are motivated by ownership, scientific depth and long term impact, this role offers exactly that.

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Mode of Working: 3 days working from client location Role: HCLTech are looking for an enthusiastic Senior User Researcher to join a small design team and support a new client project. The successful candidate will have a real and meaningful impact on building a new client account, by conducting user research, supporting their team, project and client. The project will be focused on the transformation of internal financial reporting & MI for senior managers and business leaders of a Teir-1 financial institution… The successful candidate will conduct ground level discovery with internal consumers of finance management reporting, including: • Discovery planning & coordination (target participants, segmentation, approach & logistics)., • User engagement (execution of in-person and remote user-focussed sessions, documentation of user-needs, session findings, personas & user journeys)., • User & stakeholder workshop facilitation – including service-design, journey mapping, design-thinking workshops across design sprints., • Design iteration & development through task-based testing of designs with representative users, design team support & user advocacy., • Applicants should have at least 8-10 years’ experience in digital User Experience and User Research (preferably focused on complex organizations e.g. banking, insurance, transport, law, central government)., • A BSc, MSc or PhD in HCI, Cognitive Psychology, Anthropology or related social-sciences field is required along with degree-level design-education., • Experience of working in multi-disciplinary teams (the successful candidate will work closely with UX /Product /Visual and Interaction Designers, Developers and Project Managers - to bring the user’s needs to life)., • Experience of producing a range of user research deliverables - strong qualitative and quantitative analytical skills are expected (examples of work are required)., • Excellent communication skills (written and oral) and experience in Client /Stakeholder /Relationship Management., • Articulate and well presented – the successful candidate will be interfacing with Client organization Stakeholders - at all levels, and will be an ambassador, building the new client’s experience of HCLTech., • A self-starting team player, with strong organisational skills, and a great eye for detail. The ideal candidate also excels with the following: • Qualitative and quantitative analysis tools, MS Office Suite (including Visio or Omnigraffle)., • Design & remote collaboration /facilitation tools.

Company: Elizabeth School of London Position: Academic Manager (City) Location: ON-SITE, London UK Employment Type: Full-Time, Monday to Friday (9am - 5pm) Salary: circa. £50,000 Per Annum Job Overview As a City Academic Manager, you will be responsible for overseeing all academic aspects of the campuses, ensuring smooth operations and fostering a conducive learning environment. This role may involve direct line management of the Associate Academic Manager/s (AAM/s) and the Academic Coordinator/s (AC/s) in collaboration with various teams to uphold academic standards and improve student success. Reporting to the Head of Academic Services (HoAS) you will play a crucial role in formulating reports, monitoring performance metrics and implementing policies to achieve institutional objectives. Key Responsibilities Academic Management: • To oversee all academic activities on campus, including curriculum delivery, student assessment and adherence to academic standards., • To work in collaboration with Partnership Academic Managers (PAMs) and the Dean to ensure that all university partners’ standards and expectations are being met, together with achieving ESL standards under the directions of the HoAS, • To monitor the performance of lecturers, ensuring quality teaching and compliance with established academic guidelines, • To support and guide AAMs and ACs and/or line manage lecturers and to recruit suitable candidates to perform the jobs, • To ensure the staff and student inductions are appropriately planned and delivered within the sites according to company policies and procedures whilst keeping relevant records, • To coordinate with relevant departments to collect course progression reports and populate weekly reports on student performance, • To prepare monthly reports for the HoAS where performance of the staff and students based on each cohort are tracked and appropriate actions taken. Team Management: • To work closely with AAMs & ACs providing guidance, support, and performance feedback, • To regularly monitor staff performance and report/feedback to relevant departments, • To attend all relevant meetings and training sessions set to improve performance, communication as well as personal development, • To resolve staff queries and concerns related to academic operations, fostering a collaborative work environment. Performance Monitoring and Reporting: • Regularly monitor site’s (sites’) performance indicators such as retention rates, success, progression rates and academic standards, • Formulate monthly reports on sites and programme performance for presentation to the HoAS, highlighting achievements and areas for improvement, together with appropriate actions taken. Policy Implementation: • Implement policies and procedures mandated by the Senior Leadership Team to ensure consistency and compliance across academic operations., • Ensure timely administration of assessments, marking and grade reporting in accordance with academic calendars and partner university requirements., • Conduct internal examination boards as necessary to assess student performance and maintain academic integrity. Education and Qualifications • Minimum of a master’s degree in education, business, or related fields, • A PhD in relevant fields is desirable as well as a PGCE, • Proven experience in educational management in similar roles, especially in the WP settings, • Strong leadership and interpersonal skills, with the ability to inspire and motivate others, • Excellent organisational and problem-solving abilities, • Sound knowledge of safeguarding policies and procedures, • Effective communication skills, both verbal and written, • Ability to remain calm and composed during emergencies and busy times, • Familiarity with relevant regulations and compliance standards in the higher education sector, • Commitment to promoting diversity, equity, and inclusion within the campus community Benefits • Annual leave (7.2 weeks), • Workplace pension scheme., • Company Sick Policy., • Statutory maternity/paternity pays., • Career development opportunities, • Training and self-development opportunities., • Gym membership discounts, • Retail discount schemes, • Cinema discounts, • Grocery discounts, • Cycle to work, • Investing and savings opportunities, • Financial wellbeing – personal debt advise., • Financial wellbeing education, • My Mind Pal (mental fitness)

Job Title: Technical Sales Associate/ Manager Salary: £30-70k+ (base, depending on experience), plus performance & commission-based bonuses Location: London/ Leeds, Travel across UK & EU required Reports to: Technical Sales Manager/ Managing Director About Anstar: Founded in 2018, Anstar is a dynamic, rapidly growing speciality chemicals distributor. With deep cultural and commercial expertise, we serve as a trusted bridge between Eastern manufacturers and global markets. We have quickly established ourselves as leaders in the UV-curing sector, achieving significant market share in Photoinitiators. Our agile, lean structure prioritises transparency, openness, and a customer-first approach, driven by ambitious, high-potential individuals. Backed by a robust global supply chain, European warehousing, and local support, Anstar provides high-quality chemical products with unmatched efficiency. We continually build on our core strengths and explore new market opportunities aligned with our expertise. Highlights: • We are committed to sustainable business practices, including the supply of bio-sourced raw materials, aiming for long-term success while minimising environmental impact, • Technical excellence is a priority; all our sales personnel possess a strong technical (Chemistry) background, enabling us to offer full-breadth service, • We embrace a 'Technology First' approach, utilising cutting-edge software and automation to drive efficiency and scalable growth The Opportunity: We are seeking an ambitious, technically strong individual with a background in Chemistry or a related field, sharp commercial acumen and strong critical thinking skills to support and drive Anstar’s growth. You will help develop our global UV-curing business unit, with the option to contribute to our emerging ventures in Nutraceuticals (food, animal feed, cosmetics and pharmaceuticals). Depending on your experience, you will either grow into or already operate as a key commercial lead: nurturing existing customer relationships, driving new business and playing a pivotal role in shaping and expanding a high-growth business unit. We are particularly looking for someone who is technically sharp, energetic and hard-working, with the desire to grow their responsibilities and impact as the business scales. Key responsibilities include but are not limited to: • Support Anstar with its strategy to develop both our UV-curing and the new Nutraceuticals business units, • Proactively identify and pursue new business opportunities, cultivate relationships with potential clients and negotiate contracts to secure new accounts globally, • Build and maintain strong relationships with existing customers, understanding their technical and commercial needs, addressing inquiries, and providing exceptional service, • Stay ahead of industry trends, market dynamics, and competitor activities. Conduct market research and analysis to identify potential growth areas, customer demands, and emerging opportunities, • Track sales performance against targets, analyse key metrics, and prepare regular reports and forecasts, • Produce company presentations and present to potential and current customers, • Act as a brand ambassador at industry events, trade shows, and conferences, representing the company professionally, networking with key stakeholders, and promoting the company's products and services, • Continuously evaluate and improve sales processes, tools, and methodologies to enhance efficiency, productivity and customer satisfaction Essential requirements for the role: • A degree (BSc/MSc) in Chemistry or a related scientific discipline from a reputable university, with strong technical proficiency, • At least one year of sales experience, • Strong and demonstrable business acumen, • Ability to conduct market analysis and contribute to sales planning, • Excellent verbal and written communication skills and have high interpersonal competence and negotiation abilities, • Proficient in creating and delivering client-ready presentations, • You are able to work independently under remote management (e.g., WFH), • Highly proficient with standard business technology (laptops, phones) and Microsoft Office Suite (Excel, PowerPoint, Word, Teams), • Willingness to travel globally when required and to travel to our Leeds head office on a regular/ semi-regular basis depending on home location Advantageous/desirable section • Direct experience in B2B technical sales, with a proven track record and technical background in (speciality) chemical industries, • Understanding of UV-curable technology, key raw materials (e.g. Photoinitiators, Monomers, Oligomers) and downstream applications (coatings, inks, paints, adhesives etc.), • PhD in Chemistry The interview process will consist of an initial phone call, followed by 2-3 interview rounds. Equal Opportunity: Anstar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Website: HQ: Airedale House, 423 Kirkstall Rd, Leeds, LS4 2EW, UK Founder & Managing Director: Dr Liangyu Hawkes We look forward to welcoming talented individuals into our dynamic team. The Anstar Team

BioTalent are partnering with a pioneering global research initiative uniting experts from healthcare, biotechnology, and AI who are seeking a Data Scientist (Operations) / Digital Platform Lead Backed by significant long-term investment, this programme is developing cutting-edge digital and AI platforms to drive precision, prevention, and personalised care. As a Digital Health Platform Manager, you’ll shape the digital and AI ecosystem powering this landmark project. You’ll provide technical leadership, align multi-stakeholder teams, and ensure the secure and scalable integration of multimodal data across global partners. This opportunity offers you • A high-impact role within one of Europe’s most ambitious digital health research programmes., • The chance to define digital infrastructure and AI strategy for a globally collaborative initiative., • Cross-functional work with world-class clinicians, AI researchers, and engineers., • Competitive salary, benefits, and a flexible, mission-driven working culture. Your responsibilities • Lead the design and delivery of a secure, scalable digital platform for multimodal health data., • Oversee vendor partnerships, system integration, and performance delivery., • Collaborate with AI, software, and clinical teams to build innovative digital health tools., • Ensure compliance with healthcare data standards (FHIR, HL7) and data protection regulations., • Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring • BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics, or similar., • Strong vendor management and supplier negotiation experience., • Digital solutions experience within healthcare or another highly regulated industry., • Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability., • Excellent leadership, communication, and stakeholder management skills., • A collaborative mindset with a passion for advancing responsible, real-world AI in healthcare.

Senior Development Chemist Overview: Join Reaforma as our Senior Development Chemist where you'll lead our efforts in revolutionising the thermal conversion of minerals to produce low-carbon cement. Our innovative process focuses on decarbonising the cement industry by leveraging calcined clay production, aiming to reduce global carbon emissions significantly. We seek a candidate with a robust background in Inorganic Chemistry. As the Senior Chemist, you will be instrumental in driving the development of methods to enhance the CO2 uptake of our process as a method of CCS, ensuring our solutions are both groundbreaking and practical. About Reaforma: Reaforma is dedicated to decarbonising the highly emissive cement industry. Our patent-pending process focuses on producing calcined clay and storing carbon, making cement production more sustainable. By eliminating waste, replacing fossil fuels, and using clay instead of limestone, we aim to cut CO2 emissions significantly. The potential impact of our technology is vast, with the global cement industry contributing 8% of greenhouse gas emissions. Reaforma's solutions are poised to transform the future of construction, making it more environmentally friendly and sustainable. About you: We are looking for a dynamic and versatile scientist to join Reaforma, someone who thrives in a hands-on role and excels at multitasking. This individual will connect the deep physical science of our technology and the practical industrial science necessary to scale it up. The ideal candidate will excel at tackling complex chemistry challenges using an experimental and computational approach. Designing, iterating, and testing solutions will be key to this role. If you're ready to embrace challenges and contribute to transforming the future of cement, construction, and the climate, we want to hear from you. Role Overview: The Senior Cement Chemist plays a key role in cement formulation, process optimisation, and sustainable material innovation. This role integrates chemical modelling, experimental testing, and industrial-scale implementation to enhance cement performance, durability, and environmental sustainability. The position focuses on alternative raw materials, carbon reduction strategies, and process efficiency improvements within calcined clay production. The role also requires a hands-on and off approach, carrying out both lab work and developing comprehensive proposals. The role is a senior role that will be supported by a junior. You will also have full access to an experimental and characterisation lab. Key Responsibilities: • Chemistry & Material Optimisation: Develop and refine calcined clay formulations, supplementary cementitious materials (SCMs) blends, and alternative binders to improve cement performance and sustainability., • Development of mineral chemistry to support CO2 uptake for SCM enhancement and CCS, • Process Modelling & Simulation: Utilise thermochemical and kinetic models to optimise raw material reactions, hydration processes, and phase transformations., • Experimental Testing & Analysis: Conduct XRD, XRF, TGA, SEM, and rheological studies to characterise cement properties and optimise mix designs., • Durability & Performance Enhancement: Assess hydration kinetics, setting time, and mechanical properties to develop high-performance, low-carbon cement solutions., • Techno-Economic & Sustainability Assessment: Evaluate the economic feasibility and environmental impact of alternative cement formulations and carbon capture strategies., • Industrial Collaboration & Scale-up: Work closely with production teams, R&D, and regulatory bodies to implement new materials and cement processing innovations at an industrial scale. Skills & Expertise: • Expertise in cement chemistry, hydration mechanisms, and materials science., • Proficiency in process modelling tools and experimental techniques (XRD, TGA, SEM, BET, rheometry)., • Experience in low-carbon cement technologies, alternative fuels, and carbon capture utilisation and storage (CCUS)., • Knowledge of thermochemical reactions, clinker mineralogy, and SCM interactions or the ability to learn rapidly in practice., • Ability to bridge laboratory research with industrial-scale implementation., • Familiarity with ISO, ASTM, and EN standards for cement and concrete materials or willingness to upskill in this area. Qualifications/Level: • PhD or a similar level of understanding within Chemistry. What We Offer: • A leadership role within an innovative and environmentally conscious company., • The opportunity to contribute to groundbreaking research with a global environmental impact., • Competitive salary and stock options., • A supportive and growth-oriented work environment. Reaforma is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. We look forward to hearing from you and joining our mission to make a great impact by addressing the climate crisis challenges.

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology is already deployed on real-world developer documentation, where users can query information directly through an integrated AI assistant. The Challenges You’ll Work On • Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data, • Designing your own benchmarks from scratch, • Building an agentic retrieval pipeline that adapts between fast and more thorough query strategies, • Fine-tuning embeddings or reranking models What You’ll Do • Collaborate closely with the core team and software engineers, • Stay up-to-date with the latest research and apply new ideas to real product challenges, • Design, run and analyse experiments to push system performance You Might Be a Great Fit If You Have • A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field, • Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing, • Hands-on experience training, fine-tuning, and deploying LLMs, • Experience working with vector databases, search indices, or data stores for retrieval use cases, • Significant experience building evaluation systems for search or language models, • Familiarity with information retrieval techniques (e.g., lexical search, dense vector search), • Comfort working in a fast-moving environment with ambiguous problem spaces, • A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe

We are looking to recruit a dynamic and experienced Senior Research Manager to manage a high profile National Institute for Health and Care Research (NIHR) portfolio of clinical and applied health research infrastructure funding schemes. These schemes drive the delivery of research breakthroughs into life saving treatments for patients, driving innovation and enabling the UK’s international competitiveness in crucial areas of experimental medicine, applied health and care research. Job Description Reporting to a Programme Lead, and working closely with the Assistant Director of Research Infrastructure, and the Department for Health and Social Care, the postholder will lead the planning and delivery of all activities for their portfolio of research infrastructure schemes. This will include the development of the strategic direction for future funding competitions; leading on the delivery of funding competitions and the management of awards and working with internal and external stakeholders to capture impact, promote collaborative working and other priority areas relevant to your schemes portfolio. We are looking for someone with a broad perspective of academia, funding, project management and health related policy. You will liaise with internal and external stakeholders and provide our community of researchers with support and advice. You will be confident interacting with your peers and the external scientific community; able to demonstrate critical thinking and an ability to influence and build productive relationships. Meticulous project management skills, with the ability to deliver multiple priorities simultaneously. Key Accountabilities: • Funding strategy: Review and improve existing schemes to guide future funding calls, • Research commissioning: Lead new competitions plan projects, draft guidance, organise panels and provide applicant feedback, • New calls development: Respond to DHSC/NIHR priorities, design assessments and implement monitoring processes, • Stakeholder engagement: Support researchers, raise award visibility and foster collaboration among award holders, • Contract & reporting: Manage contractual changes, respond to FOI/Parliamentary requests, review progress and flag concerns, • Team support: Provide flexible, high level assistance during peak periods and rotate schemes to enhance team learning Experience and Technical Skills Required Criteria: • PhD or equivalent in biomedical/health sciences research, or significant sector experience, • Substantial relevant experience in research funding allocation, research management (NHS/HEIs), industry, or academia, • Strategic thinker with the ability to interpret complex information and maintain a “big picture” perspective, • Interest in health and care research funding and policy, understanding strategic issues, • Project planning & management skills, able to prioritise multiple tasks under tight deadlines Desirable Criteria: • Line management and staff development experience Compensation, Benefits & Working Arrangements: • Salary: £48,600 to £51,300, • Location: Twickenham , London / Hybrid working model, • Contract Type: Full Time, 12 month FTC, • Working Hours: 37.5 per week, • Annual Leave: 25 days, plus UK public holidays Employee Benefits Include: • Annual bonus, subject to company performance, • Enhanced Contributory Pension Scheme, • Life Insurance Cover, • Benenden Healthcare Membership, • Training and Development Opportunities, • Season Ticket Loan NB: This is a hybrid role based at our office in Twickenham, London with a minimum requirement of one in office day per week. This requirement may increase based on team needs or operational demands. How to Apply If you are excited about the prospect of joining our team and believe you possess the relevant skills and background, we invite you to apply. Please submit your CV along with a 'Statement of Suitability' that showcases your key skills and experiences in relation to the 'Required Criteria' outlined in the job description. Additionally, share your enthusiasm for working with the LGC Group. Closing date for applications is 5pm on the 9th January 2026, interviews to be held from the 15th January. Inclusion and Diversity LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have any accessibility requirements please contact Carl by email to arrange appropriate support.

An independent medical communications agency has an opening for a Principal Medical Writer to join their successful and collaborative team. Known for their in-depth scientific expertise and high-quality execution, this agency works in partnership with leading pharma organisations to develop strategic, multi-channel programmes that deliver positive changes in healthcare. Their work includes meetings, medical affairs, educational programmes and publications, covering an interesting variety of therapeutic areas including Oncology and Rare Diseases. As PMW you’ll lead content development for allocated accounts. You will help to manage client relationships, contribute to scientific strategy, and ensure projects are delivered on time and to the highest quality. You’ll also review the work of junior writers and help to mentor and develop them. You’ll be joining a close-knit, motivated team, and enjoy a flexible, grown-up working environment with plenty of opportunity for ownership and growth. Requirements • A high level of scientific expertise, with minimum BSc level education in life sciences (MSc/PhD advantageous), • Experience in a medical communications agency setting to PMW level., • Expertise across a broad range of medcomms activities., • In depth knowledge of the pharmaceutical industry and associated regulations., • Superb client facing and leadership skills.

Data Science Manager Up to £120,000 London (Remote/Hybrid) Company: Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: • Lead and deliver scalable statistical models and analyses that drive business decisions, • Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization, • Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem., • Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact., • Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Please note that this role does not offer visa sponsorship

The Role We are looking for a Senior/Lead LC-MS Scientist (Proteomics) to support the design, development and implementation of our translational biomarker tests. We apply these tests to support pharmaceutical companies developing new medicines across therapeutic areas. The aim of these tests is to deliver treatment efficacy, targeted engagement or patient stratification biomarkers which would be used on clinical trials to aid the development of new therapies as well as for marketed drugs as companion/complementary diagnostic tools. The key responsibilities of a Senior/Lead LC-MS Scientist (Proteomics) include, but are not limited to: • Designing biomarker studies according to client needs, • Developing detailed LC-MS/MS analytical method protocols for implementation by laboratory staff, • Analysing LC-MS/MS data, generated on ThermoFisher, Sciex, Waters and other triple quadrupole and high resolution instruments, • Communicating study results and scientific rationale to clients, • Liaising with laboratory staff to deliver the projects to agreed timelines and budgets, • Contributing to grant, patent applications and scientific publications., • Maintaining LC-MS instruments & other lab equipment This is a lab-based, on-site role, located at Alderley Park near Macclesfield & Manchester A bit about us At Inoviv, we are building a world where every treatment reaches its full potential, powered by timely and precise proteomics insights. Using our unique technology platform in combination with targeted mass spectrometry, we develop new biomarker tests that quantify molecules in biofluid samples with high accuracy and reproducibility. The aim of these tests is to deliver diagnostic, prognostic or treatment efficacy data which can be used in clinical trials to aid the development of new therapies, as well as for marketed drugs as companion/complementary diagnostic tools. We are working closely with pharmaceutical companies to help patients with neurodegeneration (Alzheimer’s, Parkinson’s, muscular dystrophies), kidney disease, cancers and other conditions. We are a team of passionate individuals supported by academic and commercial advisors from Oxford University, King’s College London, Imperial College London, Charité University Hospital and Olink. We are also backed by the world’s leading talent investor Entrepreneur First. We are based in central London and are open to flexible or fully remote working. More about us here: Why this is a great role: • Accelerated career development - the responsibilities of the role will be growing fast, in line with the growth of the company., • You will be developing the next generation biomarker tests which have the potential to impact drug development and advance precision medicine., • Dynamic working environment with virtually no bureaucracy., • You will be a crucial team member with the power to make a real, tangible impact on the company and influence how we grow the business., • This is a permanent, full- or part-time, office- or home-based position., • You will have employee share options meaning you will own part of the company. The candidate’s qualifications and experience should include: • PhD or equivalent experience in biochemistry/ molecular biology/ analytical chemistry/ mass spectrometry or a related discipline., • 3+ years of hands-on industry experience with LC-MS/MS platforms, including triple quadrupole mass spec systems., • Broad experience in biomarker assay development and delivery, preferably in a regulated environment., • A proven track record of successful publications in peer-reviewed international scientific journals., • Experience in targeted proteomics, lipidomics and/or metabolomics is highly desirable., • LC-MS/MS experience in the context of neurodegeneration research and experience in bioinformatics is an advantage. How to apply If you would like to join this exciting, forward-thinking company and take the next step in your career, then please get in touch. Please apply on LinkedIn. More on our hiring process here: Inoviv is committed to equality and values diversity. Read about our "Biomarkers of Belonging" here: If you don’t meet all of the criteria above but have a interest in joining our team and mission please get in touch.

Quantitative Analyst/Data Scientist – Investments London – Hybrid Up to £100,000 + Bonus About the Role We are working with an investment company specialising in the credit and lending space. They are seeking a Quantitative Analyst/Data Scientist to join their growing Credit & Asset-Backed Finance team. This is an opportunity to be part of a specialist group focused on complex, non-corporate credit opportunities across asset-backed finance, lending, and other structured credit situations. You’ll play a key role in shaping the quantitative capability behind high-value investment decisions, working across modelling, valuation, data infrastructure, and portfolio analytics. Key Responsibilities • Building and implementing quantitative models to support pricing, valuation, and risk assessment across asset-backed and structured finance investments., • Conducting deep-dive analysis into granular loan-level datasets (e.g. consumer, SME, mortgages, receivables) to support investment selection and portfolio monitoring., • Developing and enhancing analytical tools and systems used to store, process, and monitor investment-related data., • Working closely with investment, risk, and operations teams to optimise deal structures and maintain robust monitoring frameworks., • Tracking market movements, regulatory changes, and sector trends to provide insights and recommendations to senior stakeholders., • Supporting the full investment cycle, from origination and underwriting through to ongoing performance reviews and committee updates., • Collaborating with colleagues across the wider investment platform to share knowledge and drive best practice. What We’re Looking For • Master’s or PhD in Mathematics, Statistics, Physics, Engineering, or another quantitative discipline., • At least 3 years’ experience in asset-backed finance, structured credit, quantitative analysis, data science, or credit risk., • Strong experience working with granular loan-level datasets across consumer, SME, real estate, or receivables portfolios., • Proficiency in Python and a strong command of statistical and financial modelling techniques., • A solid understanding of asset-backed finance structures and market dynamics., • Excellent problem-solving skills and strong attention to detail., • Ability to communicate complex ideas clearly to both technical and non-technical audiences., • A proactive, high-ownership mindset suited to a fast-paced investment environment. If this role looks of interest, apply here.