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About the Company Pharmanovia is a dynamic, fast-growing international pharmaceutical company with a portfolio of over 20 brands across more than 160 markets. Our mission is to improve patient health globally through the revitalisation of niche, tried-and-trusted medicines. Our core behaviours are: • We act decisively, but we never compromise on quality., • We keep our promises and do as we say., • We value our heritage and foster an entrepreneurial spirit., • We reinvest in our future – in our products, our brands and our people., • We give back to our communities. Since its inception in 2013, Pharmanovia has grown consistently year on year, focusing on delivering high-quality branded prescription medicines to patients, prescribers, and healthcare providers across the world. Our growth has enabled the company to reinvest in its products, brands, people, and to give back to its communities. A people business with a strong, supportive culture that encourages innovation and entrepreneurial spirit, our team comprises over 300 employees and 29 nationalities, operating from offices in the UK, Denmark, Netherlands, Switzerland, Italy, Spain, Germany, U.A.E., India, Australia and Singapore. We are an agile, committed, and innovative global speciality pharma business and a preferred partner for innovator pharma companies, instigating a paradigm shift in the life cycle management of iconic medicines. We seek to extensively engage with clinical communities to communicate product improvements and prioritise environmental, social, and governance considerations across the business and workforce. Pharmanovia’s therapeutic areas include Cardiovascular, Oncology, Endocrinology and Neurology. About the Role Reporting to the Medical Department, you will be a member of the MSL team, whose primary responsibility is to interact with influential stakeholders and healthcare providers nationally. You will collaborate with physicians and other medical experts to support trial management, RWE initiatives, interact with patient organisations, and ensure that healthcare professionals have the most up-to-date information about the medical and clinical benefits of Pharmanovia’s products. Responsibilities • Setting up strategies to target the most relevant HCPs for Pharmanovia’s therapeutic efforts and coordinate and align key messages to position Pharmanovia as a credible partner and provider of effective treatments and medicines., • Identifying, developing, and maintaining professional relationships with national KOLs, establishing peer-to-peer collaborations with key medical experts in the therapeutic areas covered by Pharmanovia., • Supporting evidence generation initiatives, including potential investigator site identification, trial recruitment, registries, and presentation of final approved data, involving experts to generate scientific data, including investigator-initiated trials., • Collaborating with physicians on medical affairs initiatives, including publication and communication plans, advisory boards, medical education opportunities, webinars, training, and speaker development., • Serving as a scientific peer-to-peer resource to external disease experts and internal stakeholders., • Supporting the medical community with up-to-date medical information, robust disease expertise, and product information., • Communicating clinical insights on new data to the company., • Coordinating the gathering of insights from HCPs to support business strategy, such as new product development and market access., • Training internal stakeholders on key scientific and medical topics., • Fostering cross-functional collaboration with internal teams: KAMs, local marketing, market access, etc., • Generating national plans to provide needs-based, value-added support of the medical and scientific community in-line with company goals., • Using systems to strategically map, identify, profile, and prioritise thought leaders in line with the medical plan and goals., • Being a credible scientific expert in the given therapeutic area and in the product(s) themselves., • Reporting and documentation of MSL's daily activities. Qualifications • A scientific degree (e.g. PhD, PharmD or MD)., • Medically trained and/or clinical experience in Oncology, Gyn-oncology, Internal Medicine, or related field., • Prior MSL experience of 2-3 years. Required Skills • Appropriate focus on performance and delivery., • Must excel at working independently and in cross-functional teams. Demonstrates excellent time management skills and can adapt to new circumstances and ideas., • Inclination to seek and analyse data from a variety of sources to support decisions and to align others with the organisation's overall strategy., • Knowledge of compliance requirements and adherence to all relevant standards., • An entrepreneurial approach to developing new, innovative ideas that will stretch the organisation and push the boundaries within the industry., • Excellent communication skills in Italian., • Fluency in spoken and written business English is desirable., • Travel required. Pay range and compensation package We offer a competitive salary plus bonus and rewards package including holiday, employee recognition awards, social events, pension scheme and hybrid working. Equal Opportunity Statement We are committed to diversity and inclusivity.

Talentmark are working in partnership with a leading UK life sciences biotechnology company, to recruit for an experienced HCP & Patient Recruitment Manager to join them at their site based in London. This is a hybrid field- and office-based position, requiring regular engagement with practices and clinics across the South of the UK. As a newly created role, it will play a key part in establishing and developing our client’s healthcare professional (HCP) network. The Company: An industry-leading clinical development services business, based in London. The Role: The Manager will proactively identify, engage and formalise partnerships with HCPs — including GPs, consultants, pharmacists and patient advocacy groups — to drive patient identification and enrolment. The role also involves leading educational initiatives, supporting marketing strategy development, and working cross-functionally to achieve recruitment objectives. Other Responsibilities Include: • Develop and maintain a network of contracted HCPs and partner organisations to drive patient recruitment., • Provide strategic insights to inform business development proposals and study planning activities., • Take full ownership of event delivery, including agenda development, speaker coordination, logistics and budget oversight., • Work closely with internal teams and marketing to ensure effective and impactful execution., • Represent the organisation at conferences and coordinate stakeholder engagement events., • Contribute to the development and dissemination of patient recruitment materials. Your Background: • MPharm, PhD qualified in virology, • Proven experience in a comparable field-based role, with a track record of building and leveraging a network of HCPs to support volunteer/patient recruitment., • Strong scientific understanding, enabling confident discussion of clients’ clinical trials with healthcare professionals, including GPs, specialists and pharmacists. Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference 177 209 in all correspondence. If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (Talentmark) and follow us to see our latest jobs and company news.

We are recruiting a Part-Time Oncology Clinical Fellow (0.5 WTE) to join a leading private cancer centre in Central London. This role offers a unique opportunity to work across oncology inpatient, chemotherapy and radiotherapy services within a modern, specialist environment. Role Overview: • Provide clinical care across oncology wards, chemo and radiotherapy units, • Support consultants with patient assessments, prescribing and treatment planning, • Manage acute oncology presentations (e.g. neutropenic sepsis, treatment toxicities), • Participate in MDTs, ward rounds and clinical governance activities Contract & Hours: • Part-time (approx. 22 hours/week), • Flexible working: 2–3 days per week or job-share, • Occasional Saturdays (approx. 1 in 8), • 1–2 year fixed-term Salary & Benefits: • Competitive salary (pro-rata), • Private healthcare + enhanced pension, • 33 days leave (pro-rata), • Strong CPD + study support (ideal alongside PhD/research) Requirements: • Full GMC registration with licence to practise, • ALS or ILS, • NHS experience (FY2+/CT level or above), • Experience in acute medicine / oncology settings preferred, • Strong clinical assessment and escalation skills Please send your CV to to apply.

Job Type: Part-Time. Starting Salary: £49017 - £57472 per annum + 49017 plus benefits To find out more about the job please click the ‘apply for job’ button to be taken to Imperial job site About the role Join Us in Investigating Climate Health Impacts from Heat Worldwide! Are you a forward-thinking, innovative individual fascinated by the challenges of climate-related health impacts across the globe? Are you passionate about societal engagement, and do you want to make an impact? This is an opportunity for you! In this role, you will collect evidence of health impacts from heat globally and develop cutting-edge statistical models in regions where open data is not available. While heatwaves are becoming more frequent and intense across the globe due to climate change, there are persistent challenges in quantifying their impacts on human health and attributing the share of impacts directly linked to climate change. Your efforts will be pivotal in translating what is being experienced by people on the ground to quantitative estimates that can be reported in close to real-time. Indeed, you will not only develop and publish your own ground-breaking research on heat health impact attribution science, but also rapidly assess and publicly disclose attribution assessments of health impacts from heatwaves worldwide. This work is part of the ___, a Grantham initiative working towards real-time tracking of attributable impacts from extreme weather events. By estimating relatable and timely information on how humans are affected by climate change, we aim to raise awareness on its negative impacts and drive climate action. The initiative also seeks to inform discussions around Loss and Damage, adaptation and climate litigation. The post is based at the Grantham Institute for Climate Change and the Environment which has received funding from the Quadrature Climate Foundation to advance real-time climate damage tracking. The Grantham Institute's mission is to drive climate-related research, translating this into real-world impact and communicating knowledge to help shape decision-making in policy, business and the third sector. Join us in pioneering research that shapes global decision-making, driving change towards a sustainable, resilient, zero-carbon future. Your creativity and innovations will be the key to achieve our ambition for meaningful and actionable insights into addressing the impacts of climate change on health! Apply now and become an integral part of our journey towards a sustainable tomorrow! What you would be doing Your key responsibilities will include: • Formulate research questions and develop a coherent research programme on the role of climate change in health impacts during heatwaves, • Further develop the Institute's capability to conduct rapid health impact attribution at the global level, • Actively participate in and lead rapid attribution studies of ongoing heatwaves, • Identify strategic opportunities for expanding research on the climate-health nexus and explore new avenues of potential funding, developing funding proposals as required, • Engage with stakeholders and researchers within the College and the wider community, • Actively participate in the research programme of the Institute, • Contribute to teaching activities related to your field of research, including the MSc Climate Management and Finance run jointly with Business School and supporting the supervision of PhD students, • Attend meetings, workshops and events internally and externally as required to represent and promote the research interests of the Grantham Institute and the College. You must hold a PhD in epidemiology, public health, statistic or related. In addition, you have to be able to demonstrate the following essential criteria: • Excellent peer review publication record in a relevant field, • Experience in collaborating with a wide range of stakeholders, • Experience of presenting results and findings to specialist and non-specialist audiences, • Ability to integrate knowledge across disciplines and rapidly acquire understanding of other disciplines., • Statistical skills including regression models, distributed lag non-linear models, hierarchical models, machine learning, and proficiency in R, • Excellent verbal communication skills and the ability to deal with a wide range of people, • Excellent written communication skills and the ability to write clearly and succinctly for publication, • Ability to organise own work with minimal supervision, • Ability to prioritise own work in response to deadlines, • Advanced computer skills, including word-processing, spreadsheets and the Internet, • Ability to direct the work of a small research team and motivate others to produce a high standard of work, • Willingness to work as part of a team and to be open-minded and cooperative, • Flexible attitude towards work, • Discipline and regard for confidentiality and security at all times, • Willingness to undertake any necessary training for the role, • Willingness to travel both within the United Kingdom and abroad to conduct research and attend conferences, • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity., • Grow your career: gain access to Imperial's sector-leading ___ as well as opportunities for promotion and progression., • Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). This role is full-time for 3 years. Please note that you must already hold right to work in the UK for this role. If you are thinking about applying for this job and want to discuss it further, please contact Prof Joeri Rogelj ( ) for questions about the Grantham Institute, and Dr Emily Theokritoff ( ) and Dr Garyfallos Konstantinoudis ( ) for questions about the Climate Damage Tracker initiative. Want help submitting your application? Please visit the Grantham Institute's ___. Find out more about the ___ at the Grantham Institute. Should you have any queries about the application process, please contact Eva Konstantara .

Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week. This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to architect, design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks which will be a key tool for the Investment teams. Essential Skills & Experience: • Excellent Quant Development and Python skills, as per 3+ years of professional experience in Financial Markets, ideally in a Systematic Hedge Fund and/or dealing with Futures., • Quantitative Finance experience and knowledge, preferably with experience in developing financial Backtesting systems for Quantitative Strategies., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices, with knowledge of SQL, Linux and ideally Docker., • PhD/MSc level education in a numerate discipline from a top institution., • MATLAB experience highly desirable. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Our client is a data-driven analytics organisation specialising in predictive modelling within the sports sector. They are seeking a Quantitative Analyst to join their modelling team, focusing on developing statistical models and delivering data-led insights. This role centres on modelling within a major global sport, with opportunities to contribute to research across additional sports and analytical projects. Key Responsibilities • Develop and refine predictive models for pre-event and in-play scenarios, • Perform statistical analysis and hypothesis testing using large datasets, • Identify enhancements and research opportunities within existing models, • Maintain and improve mathematical libraries and modelling tools, • Support the delivery of reliable predictive outputs for commercial applications, • Communicate analytical findings to technical and non-technical audiences, • Participate in peer reviews, research initiatives, and continuous improvement, • Engage in ongoing professional development and knowledge sharing Required Skills & Experience • MSc in Statistics, Mathematics, Data Science, or a related quantitative discipline, • (PhD or equivalent experience advantageous), • Strong background in probabilistic and statistical modelling, • Proficiency in Python, R, or another high-level programming language, • Experience working with complex datasets and presenting insights, • Ability to explain technical concepts clearly, • Demonstrated interest in applied modelling or analytics, • Right to work in the UK Desirable Experience • Interest in sport and performance analytics, • Understanding of market pricing or forecasting models, • Knowledge of Bayesian methods, machine learning, or advanced statistical techniques, • Experience with optimisation methods or automated decision systems, • Familiarity with databases (SQL or NoSQL), • Experience with additional programming languages What’s on Offer • Research-focused and collaborative environment, • Opportunity to take models from concept through deployment, • Ongoing professional development and learning support, • Competitive salary and benefits

Quant Analyst - Energy Sector We have partnered with a market leading financial firm that are looking to expand their commodities teams, with a focus on the European Energy sector. Responsibilities: • Designing sophisticated models for pricing and risk assessment tailored to the Energy sector., • Integrating these models into internal quantitative frameworks and trading systems, ensuring thorough testing and comprehensive documentation., • Assisting internal teams by maintaining and improving existing financial models, troubleshooting issues, and optimizing performance., • Enhancing risk infrastructure to support traders in managing exposures, hedging positions, and analyzing market data., • Collaborating closely with trading and sales teams to address challenges and explore new opportunities. Requirements: • In-depth knowledge of power and gas markets, • A strong academic background with an advanced degree (MS, PhD, or equivalent), • Proficiency in developing and implementing complex mathematical models with a focus on computational efficiency., • Hands-on experience working in a front-office trading environment., • Expertise in pricing derivatives and applying hedging strategies., • Extensive programming experience in either Python and C To hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD01

Senior Manager – Real‑World Evidence (RWE) Generation 12‑month contract | Hybrid working A global life sciences organisation is seeking a Senior Manager specialising in Real‑World Evidence Generation to support the development of high‑quality observational research within its Medical Affairs function. This role supports evidence needs across several complex therapy areas and plays a key part in shaping data‑driven medical strategy. We are looking for someone who combines scientific depth with strong applied experience in epidemiology, observational study methods, and real‑world data analysis. About the Role You will contribute to the development, execution, and interpretation of real‑world evidence studies, partnering closely with cross‑functional teams including Clinical, Regulatory, Safety, Insights and Market Access. The position involves designing observational study concepts, guiding analytical approaches, and translating results into actionable insights for internal and external stakeholders. This is a hands‑on scientific role suited to someone who enjoys both methodological work and medical‑affairs‑aligned evidence strategy. Key Responsibilities • Develop and refine study concepts such as incidence, prevalence, burden‑of‑illness and natural‑history research., • Provide operational and scientific support for real‑world evidence projects, including registries and post‑authorisation‑aligned research., • Contribute to methodological strategies, including historical control approaches and other observational study designs., • Create and maintain dashboards, metrics and tracking tools for RWE projects., • Write and review study documentation: protocols, SAPs, study reports and related materials., • Translate complex analytical results into clear messages for internal teams and external experts., • Support evidence contributions for regulatory or health‑technology‑related interactions., • Engage with investigators, advisory groups, scientific leaders and cross‑functional project teams. Essential Qualifications • Scientific degree (e.g., MSc, PhD, MD, PharmD or equivalent)., • Background in epidemiology, biostatistics, outcomes research or a closely related field., • Experience in observational research design and real‑world evidence generation., • Ability to interpret analytical outputs and provide scientifically rigorous insight., • Strong communication skills with the ability to adapt messages to technical and non‑technical audiences., • Familiarity with statistical tools (e.g., R, SAS, SPSS, Stata). Preferred Experience • PhD in epidemiology, biostatistics, HEOR or health services research., • Experience working with complex therapy areas (e.g., immunology, oncology, rare diseases or chronic conditions)., • Exposure to post‑authorisation or post‑launch evidence requirements., • Experience conducting or reviewing systematic literature reviews., • Strong publication experience or scientific writing background., • Ability to work effectively within a dynamic, matrixed environment.

Quantitative Portfolio Manager - Macro, Futures and Cash Equities Trading My client is a multi-manager hedge fund which covers intraday and mid-frequency trading strategies across liquid markets. The firm is currently looking for PMs trading intraday/mid frequency strategies in Equities or cross-asset Macro Futures to set up their teams in either New York, London, Singapore or Hong Kong. They have a mandate for Quant PMs or Quant Traders with a track record of researching, deploying and managing strategies with Sharpe ratios above 2 to set up teams in return for a significant risk allocation with strong guaranteed compensation, and PnL % payouts once trading goes live. Successful candidates will have experience with researching, developing and monitoring strategies, and will be skilled in programming languages such as Python and C++. The Role: • Plug into the fund's existing PM platform, • Designing, backtesting, and deploying trading strategies, monitoring and and optimising them over time., • Managing a book and targeting Sharpes of 2+. Requirements: • A Master or PhD level degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc., • Coding proficiency in Python, additional experience with C/C++ is preferred., • Prior experience as a Quantitative Trader or sub-PM/PM, where you researched strategies and managed a book.

Global commodities trading and clearing group A unique opportunity for a mid-level market risk manager with a strong knowledge of model governance and validation. This role will apply analytics, validation and governance to a broad portfolio of clearing (CCP), pricing and interest rate models. Ideally you will have worked within a CCP environment. 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 -

Machine Learning Researchers - Hybrid My client is a stealth quantitative hedge fund. Their strategy spans mid-frequency trading (MFT) across equities, crypto, and futures. The broader ambition extends beyond trading performance toward eventually funding advanced research initiatives in science and engineering. The team includes quantitative researchers and developers from leading firms such as Two Sigma, Point72, WorldQuant, and SpaceX. Qualifications for ML Researcher • Recent, or soon to be graduate at a top international university, with relevant course work, internship, or other applicable experience or knowledge, • Masters degree (PhD preferred) in a quantitative or related field such as Machine Learning, Mathematics, Statistics, Computer Science, or Physics., • Strong communication skills with the ability to collaborate with teammates globally, • Strong sense of urgency with the ability to work well in a fast-paced environment, • Programming skills essential, with at least one major programming or scripting language, strong preference for Python. If you are interested in the ML Researcher role then apply here.

Quantitative Researchers at Xantium are responsible for researching and developing mathematical models used to identify investment and trading opportunities in the global financial markets. The process is collaborative, involving direct access to and guidance from senior quantitative portfolio managers and engineers with years of experience across all major markets. Our Quantitative Researchers learn a range of skills including various research techniques, how to work with different types of data, markets and asset classes. Examples of responsibilities include: • Analyzing and evaluating financial and alternative datasets, • Researching existing and developing new techniques in machine learning, • Researching, developing and implementing quantitative trading signals/models, • Developing and maintaining modeling infrastructure, • Supporting production trading operations Quantitative Researcher applicants should have a PhD (or equivalent) that involved intense mathematics or statistics. We may consider candidates without PhDs, provided they can demonstrate strong competitive math backgrounds and strong academic records.

A leading business advisory organisation is looking to grow its Life Sciences & Healthcare Strategy & Commercial Due Diligence team. The firm supports high‑growth and entrepreneurial businesses, working closely with management teams, investors and corporates to deliver clarity, insight and value‑led advice across fast‑moving markets. About the Team The Deals practice provides strategic, operational and transactional support to clients across a wide range of industries. The team combines sector knowledge with commercial analysis to help businesses navigate complex decisions and capture opportunities. You’ll work on high‑profile engagements alongside experienced strategists and deal professionals, developing your analytical skills while building exposure across the healthcare and life sciences landscape. The Opportunity As an Associate, you’ll support commercial due diligence and growth strategy projects across pharma, biotech, medical devices and healthcare services. You’ll work closely with Managers and senior colleagues to research markets, analyse data, develop insights and contribute to the delivery of clear, structured and commercially robust client outputs. This is an excellent opportunity for someone early in their consulting or industry career who wants to deepen their LSHC expertise, strengthen their analytical toolkit and gain meaningful exposure to transaction‑driven work. What You’ll Be Doing • Supporting commercial due diligence and strategy engagements for corporate and private equity clients., • Conducting market, competitor and customer research across the LSHC sectors., • Analysing quantitative and qualitative data to highlight trends, risks and value‑creation levers., • Helping shape client deliverables and presenting insights clearly and logically., • Working collaboratively with project teams to deliver high‑quality outputs under time‑sensitive conditions., • Contributing to a positive, supportive and high‑performance team culture. What We’re Looking For • A PhD or Master’s degree in a relevant Life Sciences or Healthcare discipline (e.g., biomedical sciences, public health, health economics, pharma/biotech‑related fields)., • Candidates with only a Master’s degree will need to demonstrate prior consulting experience to ensure they can confidently step into the analytical and project‑based responsibilities of the role., • A genuine interest in commercial due diligence and growth strategy within Life Sciences & Healthcare., • Strong analytical and research skills, with the ability to turn information into clear, structured insight., • A collaborative approach, solid communication skills, and the ability to balance multiple workstreams., • Proficiency with PowerPoint, Excel and Word. Culture & Development The firm offers a people‑focused, collaborative environment where individuality and initiative are valued. You can expect access to mentoring, coaching and structured development frameworks designed to support long‑term career progression. The organisation embraces agile working, encourages innovation and provides modern collaboration spaces to help teams connect, share ideas and grow. You’ll be joining a business committed to continuous improvement, professional growth and supporting ambitious individuals who want to make an impact.

Based in London and/or Barcelona the FPGA Architect / Design Engineer will be joining an exciting company working on Wireless Technology and AI company, working alongside Scientists developing digital electronic systems a brand new technology The successful candidate will have an excellent experience in FPGA Architecture (not Design), along with: • MEng, MSc or preferable a PhD in Electronics, • Have Strong FPGA skills, • Be capable of designing and implementing an entire system from ground up, • Experience of DSP, • Also some board level experience with Altium would be beneficial. The company are an early start up and are looking for someone to be involved in the growth and R&D planning of the company. They offer an excellent salary and benefits. Please apply for more information.

Principal Data Scientist – AI & Machine Learning Location: London (Hybrid: 3 days in office) Salary: £100,000 – £125,000 + 10% discretionary bonus + equity scheme We’re partnering with a highly respected, data driven organisation in the alternative assets space undergoing a major AI led transformation, including the launch of new generative AI products and intelligent data platforms. They are hiring a Principal Data Scientist to play a key role in shaping and delivering next-generation machine learning solutions across the business. This is a hands on, high impact individual contributor role with significant scope to influence technical direction, mentor others, and own end to end delivery of data science solutions. The Opportunity You’ll work at the forefront of applied AI, building intelligent systems that directly enhance customer experience and business performance. The team is actively launching new AI initiatives, including generative AI and intelligent document understanding tools. This role is ideal for someone who thrives in ambiguity and can take ideas from concept through to production. You will act as a solution owner, taking loosely defined problems and translating them into production ready machine learning systems. What You’ll Be Doing • Design, build, and deploy machine learning models (prediction, classification), • Own delivery of data science solutions from problem definition to production, • Lead experimentation and A/B testing to drive continuous improvement, • Collaborate cross functionally with product, engineering, and commercial teams, • Mentor and elevate a high-performing team of data scientists and ML engineers, • Contribute to AI strategy, including developments in generative AI Experience • 6–12 years’ experience in data science, currently operating at Principal level, • Strong grounding in machine learning fundamentals (supervised learning essential), • Proven experience delivering production-grade ML solutions, • Strong Python and SQL skills, • Experience with experimentation and data-driven decision making, • Ability to operate as a hands-on technical leader (not pure management), • Advanced degree (Master’s or PhD) in a quantitative field, • Experience working with financial or private markets data, • Exposure to alternative investments or private equity datasets, • Knowledge of causal inference, probabilistic modelling, or knowledge graphs Why Apply • High-impact role with ownership and autonomy, • Work on AI initiatives in a growing team, • Strong engineering and data culture with a focus on excellence, • Clear progression and opportunity to shape future capabilities Please note - sponsorship is not available for this position.

Company Description AmpliSynth is a London-based synthetic biology company on a mission to democratise access to DNA synthesis. We are developing a benchtop platform that enables on-site, on-demand gene synthesis for research and biotech organisations. Role Description AmpliSynth is currently recruiting an experienced and self-sufficient scientist to join their team. As part of our continued investment in our DNA synthesis platform, this role is key to take our platform from proof-of-concept to a validated instrument. This position is suited to someone who thrives on solving complex molecular biology challenges, and is confident working across disciplines in a fast-moving startup environment. As an early hire, you will have direct scientific ownership and clear pathways for progression based on capability and impact. Key responsibilities • Design and optimise enzymatic DNA assembly workflows for the construction of long dsDNA, from oligonucleotide building blocks to multi-kilobase constructs., • Develop assembly strategies for iterative build-up of complex genetic constructs., • Build synthetic gene cassettes, and DNA constructs for functional testing., • Develop strategies for sequence verification / fidelity, error correction, and QC across assembled constructs., • Collaborate closely with hardware engineers to integrate biological workflows into automated systems., • Maintain lab notebooks, SOPs, and COSHH risk assessments. What we need from you • PhD in Synthetic Biology, Biochemistry, Molecular Biology or a related discipline., • Expertise in DNA assembly methods and multi-fragment construct engineering in vitro and / or in cells., • Strong understanding of nucleic acid biochemistry, sequence design principles and enzymology., • Python or other scripting language for data analysis; comfort with command-line bioinformatics tools., • Clear and confident written and verbal communication skills., • Strong DoE skills with a rigorous, systematic approach to troubleshooting. Nice to have • Experience with synthetic genome construction, and combinatorial library design., • Familiarity with nucleic acid thermodynamics and secondary-structure prediction tools (e.g. NUPACK, ViennaRNA or similar)., • Experience with fluorescence and FRET-based assays., • Experience with instrument development and automation., • Familiarity with how scientific results integrate with commercial value. What we offer: Join AmpliSynth and become part of a small, focused team building a platform technology with the potential to democratise DNA synthesis. We value scientific rigour, intellectual curiosity, and the agility and ownership that comes with being an early member of an ambitious startup. • Competitive salary, reviewed annually, • Share options (EMI scheme) — meaningful equity participation for early employees, • 25 days annual leave plus UK bank holidays, • Pension contributions in line with UK auto-enrolment., • A collaborative environment where your ideas directly shape the product AmpliSynth Ltd is an equal opportunity employer. To apply, send your CV and a brief cover letter (max one page) to: . Within the cover letter we would like you to answer the following question: If you could synthesise any DNA sequence tomorrow without cost, length, and turnaround restriction, what would you build, and why?

Do you want to build a behavioural intelligence product using US population-scale data Have you worked with survey + digital behavioural signals and want to turn that into a scalable data product? Are you a bold, product-minded Behavioural Scientist ready for a genuine R&D mandate? We’re partnering with a fast-growing behavioural healthcare analytics business (~40 people) with teams across Washington DC, London and Delhi. They sit at the intersection of behavioural science and data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data Scientist to join a product/R&D team focused on the US market. You’ll work on high-impact research programmes translating behavioural datasets into usable benchmarks and recommendations for healthcare stakeholders. Up to £95k base + 10%+ bonus. Key responsibilities • Lead R&D projects focused on drivers of US healthcare behaviour at scale, • Design and run behavioural measurement approaches (survey + digital signals), • Build statistical and predictive models (regression, segmentation, behavioural modelling), • Translate findings into benchmarks, insights and recommendations, • Partner with PM/DE to productise outputs into a robust data product, • Collaborate on evaluating and onboarding new data sources Requirements • PhD (minimum requirement), • Strong academic background (Russell Group / top universities), • 2+ years post-PhD industry experience, • Strong behavioural science grounding (intersection of behaviour + data), • Experience with survey data and/or digital behaviour signals, • Ability to code in Python and/or R, • Proactive, creative, willing to take ownership (not risk-averse) Nice-to-have • Healthcare domain exposure, • Consumer behaviour analytics background (e.g. retail, marketplaces), • Behavioural / political consultancy experience, • SQL Tech stack • Python and/or R, • Databricks, • SQL beneficial but not essential Location / working model • Remote-first model, • Central London (2 days a week), • Current cadence may be 1x per month / 1x per quarter, but expectations will increase as the London office builds, • WeWork access provided when required (as many days in as preferred), • Occasional travel may be required Interested? Apply below.

Automated Formulation Scientist London, UK On-site (with flexibility for hybrid working) We’re partnered with an early-stage platform biotech startup emerging from stealth, backed by leading venture capital investors. The company is building AI-driven “self-driving laboratories” designed to transform how drug products are developed. Their platform combines robotics, automation, and machine learning to explore vast formulation spaces, automatically design and run experiments, and continuously learn from the results. By replacing traditional trial-and-error experimentation with high-throughput automated workflows, they aim to reduce formulation development timelines from months to days while unlocking medicines that were previously too complex to develop. Operating at the intersection of biotech, robotics, and AI, the team is building the next generation of laboratory infrastructure to accelerate pharmaceutical innovation. This is a rare opportunity to shape how an AI-powered formulation platform is applied to real drug development challenges. You will be a scientific anchor: defining what gets tested, how it gets measured, and what the results mean, in close partnership with data scientists and automation engineers. Responsibilities • Design and execute formulation studies for biologics (mAbs, proteins, peptides+)., • Pioneer new formulation development technologies., • Define experimental conditions for optimisation, framing scientific problems so their ML platform can learn from them effectively., • Develop and apply analytical methods to assess critical quality attributes., • Develop new accelerated characterisation methods suited to high-throughput screening., • Design protocols for biologic formulation automation, with a focus on robustness and traceability., • Work with their Automation team to scale methods onto robotic platforms and with Engineering to ensure data is captured cleanly and in structured formats. Requirements • Advanced degree PhD/ MSc with industry experience in pharmaceutics, biopharmaceutics, or formulation science, with a focus on biologics., • Hands-on experience with excipient selection, protein stability mechanisms, and formulation assessment for biologics., • Practical command of characterisation techniques., • Comfortable interpreting analytical data and making formulation decisions at startup pace, balancing scientific rigour with speed., • Clear communicator who can work across scientific and engineering disciplines. Desirable • Experience with high-throughput experimentation or automated liquid handling platforms (e.g., Hamilton, Tecan, Opentrons)., • Python or scripting skills for data analysis and visualisation., • Experience working with or developing ML models., • Familiarity with robotic workflows or automation-friendly SOP design., • Background in early-phase drug product development or CMC. Benefits • Competitive base salary alongside a meaningful equity package, giving you the opportunity to share in the company’s long-term success., • The chance to have real autonomy and impact within an early-stage startup, helping shape both the scientific direction and the development of the platform., • Direct exposure to founders and the C-suite, with the opportunity to influence strategy and decision-making as the company scales., • A beautiful, collaborative lab and working space in the heart of Central London, designed to bring scientists, engineers, and data teams together., • Hybrid flexibility, balancing hands-on lab work with the ability to work remotely where appropriate. Interested? Apply and we will be in touch!

Senior Scientist – Computational Biology / Machine Learning Hybrid | Full Time London, United Kingdom Overview We are seeking a Senior Computational Scientist to help translate advanced machine learning models into impactful, real-world discovery workflows. In this role, you will provide scientific leadership across model evaluation and applied biological use cases, ensuring research remains grounded in the most relevant challenges in drug discovery and translational research. This position sits within a growing computational biology team and reports into the Head of Computational Biology. You will join as a senior individual contributor, with the opportunity to take on management responsibilities as the team expands. You will act as a key scientific partner to research teams, support and mentor junior scientists, and collaborate closely with product and commercial teams to translate cutting-edge biology and machine learning into solutions that deliver real value for customers. Key Responsibilities • Lead evaluation and application of machine learning models for biological discovery workflows, • Apply advanced ML methods to complex biological datasets, particularly single-cell and omics data, • Partner with research teams to translate model outputs into meaningful biological insights, • Collaborate with product and business teams to shape deliverables and real-world applications, • Mentor junior scientists and contribute to the growth of the computational biology function, • Operate in a fast-moving environment, iterating quickly from prototype to experiment to insight Requirements • PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field with a focus on single-cell and machine learning, plus 2+ years industry experience, OR, • MSc in a relevant field with 5+ years industry experience applying machine learning to single-cell or omics datasets, • Strong understanding of machine learning approaches for biological data, including methods such as transformers, VAEs, diffusion models, and classical ML, • Hands-on experience using modern ML frameworks such as PyTorch (or similar), • Strong communication skills with the ability to translate complex scientific concepts for both technical and non-technical audiences, • Comfortable working in fast-paced, iterative research environments, • Passion for working at the intersection of biology and machine learning

Senior Computational Scientist (Single-Cell + Machine Learning) We are searching for a Senior Computational Scientist with deep, hands-on single-cell expertise to help translate cutting-edge AI models into impactful discovery and translational workflows. This role sits at the intersection of single-cell biology, machine learning, and applied computational research, with direct influence on how next-generation foundation models are evaluated and deployed. You will partner closely with research scientists, ML engineers, product teams, and external collaborators to turn advanced single-cell methods into actionable insights for real-world drug discovery and translational use cases. This is a senior IC position with the opportunity to grow into management as the team scales. What You’ll Do • Lead scientific strategy and execution for evaluating and applying foundation models to single-cell and multi-omics datasets., • Develop, adapt, and benchmark single-cell workflows, including integration, perturb-seq analysis, and advanced multi-modal pipelines., • Collaborate with research and ML teams to design experiments and rapidly iterate from prototype to insight., • Work closely with Product and Business Development to translate complex biology + ML capabilities into customer-facing deliverables., • Mentor junior scientists and contribute to shaping the culture and scientific standards of a growing computational biology team., • Bring strong scientific judgment to ensure modeling work remains grounded in translational biology and drug development needs. What We’re Looking For • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with a strong single-cell focus, and 2+ years of industry experience; or MSc with 5+ years of relevant industry experience., • Deep, hands-on experience with single-cell technologies (integration, perturb-seq, multiome, advanced workflows)., • Strong understanding of modern ML/AI approaches for biological data, such as transformers, VAEs, diffusion models, or classical ML methods., • Proficiency with ML frameworks like PyTorch (or equivalent)., • Excellent communication skills with the ability to explain complex science to diverse technical and non-technical audiences., • Comfortable working in a fast-paced, iterative environment., • Passionate about building at the intersection of biology, machine learning, and real-world translational impact.

Welcome to Teranode Group– “We don’t just build products; we create solutions that deliver real-world benefits. We aren’t defined by tech alone; we put outcomes, impact, and trust at the heart of what we do. We aren’t here to disrupt for the sake of disruption; we believe we can help enterprises and governments in their steady evolution.” Since our establishment in 2015, we have been offering software, consulting services, and IP licensing to clients looking to benefit from the security and scalability of the blockchain. We work across several sectors, including iGaming, supply chain, and financial services. Our suite of commercial applications and solutions, ranging from CBDCs to Data Integrity, is supported by an industry-leading patent portfolio of over 4000 patent rights. At Teranode, we are proud to have a team of over 200+ talented individuals spread across three offices. Our people are passionate about blockchain technology and work tirelessly to ensure that our clients receive the best possible solutions to their needs. Role Overview: • The role expects a hands-on expert who designs, analyzes, leverages and implements advanced cryptographic protocols such as zero-knowledge proofs and other privacy-preserving technologies for high-value web 2.0 and web 3.0 use cases., • The role will lead end‑to‑end cryptographic projects, from formal security definitions and proofs through prototype design, reference implementation, and collaboration on audits and deployment with engineering teams. Primary Key Responsibilities • Research, design, and innovate cryptographic protocols such as ZK proof systems and post-quantum cryptography based on analysis of existing solutions and implementation., • Build and maintain high‑assurance implementations of privacy-preserving solutions in main-stream programming languages as well as Bitcoin opcodes., • Collaborate with protocol, backend, and smart‑contract engineers to integrate cryptographic components into production systems and to review its security., • Stay current with academic research and industry best practices in applied cryptography and blockchain security and proactively propose improvements to our architecture and roadmap., • Contribute to internal and external security reviews, penetration tests, and third‑party audits by defining cryptographic scope, reviewing findings, and recommending mitigations., • Represent the company in the external community through papers, talks, open-source contributions, or standards working groups where relevant., • Support BD / product / customer‑facing teams with deep technical explanations of our cryptographic guarantees when needed. Requirements: • Advanced degree (MSc or PhD) in Computer Science, Mathematics, Cryptography, or a closely related field, with a focus on privacy-preserving technologies or post-quantum security., • Several years (typically 5+ years) of applied cryptography or cryptographic engineering experience, including work on blockchain, distributed systems, or high‑assurance security products., • Deep knowledge of core cryptographic primitives and protocols: Groth16, PLONK, Halo2, STARKs, SNARKs, lattice-based crypto, etc., • Hands‑on experience with at least some of: zero‑knowledge proofs, SNARKs/STARKs, multi‑party computation, threshold signatures, or Fully Homomorphic Encryption., • Solid understanding of blockchain fundamentals: consensus mechanisms, smart contracts, ledger model (account, object and UTXO model), Layer 2 / rollups, and Bitcoin scripts., • Demonstrated track record via shipped systems, open‑source contributions, or published research in cryptography, security, or blockchain venues. Behaviours and competencies: • Strong communication skills with the ability to explain complex cryptographic ideas to various types of audience, developers, C-levels, clients, sales and marketing team, and conference audiences., • Collaborative mindset, comfortable working in cross‑functional teams, and open to constructive review and challenge of designs., • Passionate learner who keeps up with the fast‑moving fields of cryptography and blockchain and actively shares knowledge with the team., • Analytical and problem‑solving skills with a rigorous approach to security trade-offs and threat modeling., • High sense of ownership, accountability, and integrity when working on mission‑critical security components that protect user assets and sensitive data.

🌍 Long-Term Recruitment: Senior Scientist / Postdoctoral Researcher / Lecturer / Professor Position Overview We are recruiting outstanding PhDs in science and engineering to participate in collaborative projects with universities, research institutes, and enterprises in China. Candidates may work part-time online or full-time in China. Our partners include leading universities, research institutes, and listed companies, with strong advantages in international collaboration and innovation. We continue to introduce outstanding overseas PhDs and are committed to building a world-class research team. Research Directions We sincerely welcome applicants with interdisciplinary backgrounds. Research fields include, but are not limited to: 1. Core Research Fields (Strategic Domains) • Next-Generation Information Technology, • High-End Equipment & Intelligent Manufacturing, • Advanced Materials & Functional Materials, • Biomedicine & Biopharmaceuticals, • Energy & Sustainability (New Energy, Energy Efficiency, Environmental Protection), • New Energy Vehicles (NEVs) & Power Systems, • AgriTech & Bio-Breeding, • Digital Creativity & Future Computing Technologies, • Interdisciplinary Hard Technology 2. Urgent Hiring Areas (Chemistry, Materials & Related Sciences) • Chemical Engineering: Research on chemical processes, industrial chemistry, process optimization, reaction safety, and large-scale chemical production., • Polymer Science & Engineering: Design, synthesis, modification, and applications of advanced polymers, including high-performance structural and functional polymeric materials., • Advanced Functional & Sustainable Materials: Development of smart, eco-friendly, high-performance materials for energy, environment, medical, and industrial applications., • Catalysis & Reaction Engineering: Homogeneous/heterogeneous catalysis, photocatalysis, electrocatalysis, catalytic reactor design, and advanced reaction engineering., • Materials for Electronics & Biomedicine: Semiconductor materials, soft electronics, biomaterials, nanomaterials, multifunctional coatings, and advanced biomedical materials., • Energy Materials: Battery materials (Li/Na/Zn/Solid-state), hydrogen energy systems, fuel cells, photovoltaic materials, and energy storage systems. 3. Newly Added Urgent Hiring Fields • Optics & Photonics: Optical materials, photonic devices, laser technology, fiber optics, imaging systems, and optical instrumentation for scientific and industrial applications., • Astronomy & Space Science Materials: Instrumentation for telescopes, aerospace materials, detector technologies, optical coatings, space-environment-resistant materials, and simulation research related to astrophysical environments., • PI Thin-Film Technology (Polyimide Films): High-performance PI film synthesis, processing, coating technologies, flexible electronics applications, insulation films, and ultra-high-temperature polymer research., • Chemical Metallurgy & Extractive Engineering: Metal extraction, separation and purification, metallurgical chemical reactions, mineral processing, corrosion science, and advanced metallurgy for battery/semiconductor materials. 4. Additional Priority Talent Areas We are also urgently seeking experienced scientists and engineers (3+ years) with expertise in the following specialized domains: • OCA Optical Adhesives (Optically Clear Adhesives), • Silicon Photonics & Optoelectronic Coupling, • LED Epitaxy & Semiconductor Optoelectronics, • Water Treatment Membrane Technologies – especially Hollow Fiber Membranes, • TMR Magnetic Sensor Chips & Spintronics, • Polyurethane Materials & Foaming Technologies, • Engineering Plastics & High-Performance Modified Polymers, • Ceramic Dielectric Materials – including Ceramic Filters & RF Antenna Materials, • Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields • Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development, • Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing, • Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities • Conduct independent and/or collaborative scientific research, • Publish in high-quality peer-reviewed journals, • Apply for national/international research funding, • Supervise graduate students or junior researchers (if applicable), • Collaborate with domestic and international teams for research-to-industry translation 7. Candidate Requirements • PhD in Chemistry, Materials, Engineering, Physics, Optics, Data/AI, or related fields, • 3+ years of postdoctoral or professional research experience preferred, • Strong academic record (publications, patents, or projects), • Independent research capability and willingness to collaborate, • Open to all nationalities Compensation & Benefits Annual Salary: USD 100,000 – 350,000+ (based on qualifications) Research Startup Funding: Up to USD 400,000 Housing & Settlement Support: Up to USD 400,000 (talent apartments, rental subsidy, or purchase assistance) Additional Benefits: • Furnished talent housing or temporary accommodation, • Visa, residence permit, household registration support, • Healthcare, children’s education assistance, • Comprehensive onboarding and long-term service Career Development Pathways • Academic Track: Lecturer → Professor, • Research Track: Assistant Researcher → Senior Scientist, • Opportunities to establish independent research groups, • Support for international conferences and collaborations About Us We are a multinational academic and technology exchange company promoting global collaboration in research and innovation. Partnering with leading universities, institutes, and enterprises, we actively attract global PhDs to form internationally competitive research teams. Through our global platform, we foster cross-border knowledge exchange, technology transfer, and talent development, driving forward scientific advancement and innovation. Application 📩 Please send your application to: Application Email Title: “Application + Research Direction + Name” Required Materials: Resume (education background, research experience, publications, representative works)

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.

About Us At Obsidian, we’re passionate about transforming scientific communications to improve healthcare outcomes for everyone. As a specialist healthcare agency, dedicated to medical and scientific communications, we partner with global healthcare organisations to share knowledge that truly makes a difference. Our team of >70 academic scientists, strategists, and communications experts deliver cutting-edge solutions across: • Medical Affairs, • Strategic Consultancy, • Scientific Meetings and Events, • Medical Education, • Publications Planning & Delivery, • Creative & Digital Services, • Commercial Strategy The Opportunity Following significant growth in 2025, we’re excited to welcome a Scientific Business Unit Lead to join our leadership team. In this pivotal role, you’ll: • Lead an editorial team of 10 and collaborate with a Business Unit Director to oversee a 20-person team, • Shape and develop scientific strategy across a diverse portfolio of accounts, • Drive editorial excellence and innovation across therapy areas such as hepatitis, HIV, oncology, rare diseases, nephrology, and haemophilia, • Be a member of the core management team This is your chance to combine scientific expertise with strategic and commercially-focussed leadership – helping us to deliver impactful solutions for clients worldwide. What You’ll Do • Lead and Inspire: Manage and mentor editorial teams, fostering growth and excellence across the business unit, • Strategic Client Partnering: Act as a trusted scientific advisor and ensure that all editorial outputs align with client strategy and industry standards, • Business Growth: Drive organic growth and new business, • Resource management: Ensures optimal editorial resource management within the Business Unit, • Financial Management: Have a sound understanding of the financial health across accounts and supports the business forecasting, • Member of the Core Management Team: Acts as a role model within Obsidian, inputting into the driving of company-wide initiatives, • Culture Building: Create an environment of collaboration, innovation and customer service excellence What We’re Looking For • Ideally a degree in biological sciences (BSc/MSc/PhD or equivalent), • Proven experience within medical communications agencies, ideally as a Scientific Services Unit Lead or equivalent, • Strong leadership and mentoring skills, with a track record of managing editorial teams, • Ability to deliver high-quality scientific content and strategic counsel, • Strong commercial acumen What We Offer • Hybrid working: Only 2 anchor days a week in the office from our vibrant London office (just off Fetter Lane, EC4)., • 25 days’ holiday + bank holidays, plus gifted days at Christmas and your birthday off, • AXA private healthcare (with family options), Aviva pension scheme, income protection, life assurance, • Enhanced parental leave, cycle-to-work scheme, season ticket loan, • Bonus schemes and employee referral rewards, • Learning and Development: Comprehensive training programmes, annual performance reviews, and opportunities to join working groups, • Well-being Support: EAP , mental health first-aiders, AXA well-being calendar, and a dedicated well-being room, • Social Connection: Regular social events and a friendly, collaborative culture Ready to lead, inspire, and make an impact? Join us at Obsidian and help shape the future of scientific communications.

Dye Recycle is a UK-based fibre reclamation company that transforms real-world waste into high performing materials. Our green chemistry technology separates clean fibres from vibrant colours, refining the unrecycleable into spin-ready textiles. Why join us We are a rapidly growing team working at the cutting edge of fibres, green chemistry, and circular products. In your role, you will be scaling a technology that is redefining the bounds of material recyclability. At present, only 1% of textiles are recycled back into textiles, while the remaining 120 million metric tons of waste remains in landfill. Your discoveries are the backbone of our innovation, and your experiments actively shape a more sustainable future. The work is fast paced, bold, and joyful, and we never lose sight of why we are here. Role summary We are looking for an experienced Senior Process Engineer to scale our technology to successful pilot and industrial integration. You will work directly with the R&D team to lead process optimization, scale-up studies, and develop precise comprehensive process flow diagrams (PFDs). You will flip between the lab and office to manage needed experiments and validations as you manage partnerships with equipment suppliers and contract manufacturers. This position is not for the desk modeler. You will be hands-on and directly designing bench experiments while testing different machine setups as we pioneer integration with thermomechanical and chemical recycling. Key responsibilities Process development & experimental design • Lead the design and transition of novel processes from laboratory scale (1-10L) to pilot (100 tpa) and industrial demonstration (1-10ktpa), including detailed optimisation of critical process parameters and derisking activities, • Design and execute systematic scale-up studies using first engineering principles, including experimental plans, equipment selection, design, and validation, • Develop comprehensive process flow diagrams (PFDs) and piping & instrumentation diagrams (P&IDs) using computational tools (AutoCAD, ASPEN), while performing detailed mass/energy balances to optimise process efficiency and identify potential bottlenecks, • Coordinate with the R&D team to translate lab studies TRL4 to pilot studies TRL8, followed by commercial demonstration Contract Manufacturing & Commercialization Pathways • Develop partnerships with equipment suppliers and contract manufacturers, procuring key lab and pilot equipment as required for new facility, including bespoke designs, • Establish SOPs, safety frameworks, QA/QC processes, and performance benchmarks, • Develop accurate but flexible project timelines with measurable milestones and key results, to be validated by key experiments and validation protocols, • Build and protect company intellectual property, including patents and trade secrets, • Participate in investor meetings when needed and contribute to Innovate UK grant projects Qualifications & Skills • 5+ years of process design experience in a leading engineering consultancy or EPC firm or significant experience in R&D process scale-up in a high growth start-up, • MSc or PhD in Chemical Process Engineering is an advantage, • Experience in solvent-based recycling, solid/wet processing, filtration, and slurry handling; expertise in adsorption, absorption, and packed column design is a benefit, • Comfortable with 50% hands-on work and 50% strategy and project administration; proactively seeks out problems to solve, finds joy in uncovering unusual solutions, stays humble and curious, • Capability to work independently in a rapidly changing environment with minimal supervision, • Excellent written and verbal communication; ability to write clear SOPs, technical reports, while also translating findings to non-technical audiences, • Must have line management experience with full responsibility for team performance, • Experience developing licensing frameworks is a strong advantage, • Chartered with the Institution of Chemical Engineering (IChemE) is a preference for local candidates We offer: • Competitive salary, • Full time position with flexible working hours, • Generous pension contribution and benefits, • Access to materials and textile recycling conferences and networking events, • Regular team events, • LinkedIn Learning training courses Interview stages: • 30-45 minute initial interview with 10 minutes presentation by candidate, • 90 minutes interview with a case study Please include a cover letter and your current CV.

Senior Systematic Literature Reviewer / Evidence Synthesis Consultant An exciting opportunity to join a steadily growing Global HEOR & Access consultancy with one of the best staff turnover rates in the entire healthcare consulting space, offering full remote flexibility, a non-corporate culture, flexible hours & a healthy work life balance - this presents a great opportunity to enjoy your work, hone your technical skills and progress in a rewarding and meritocratic environment. Key experience required: • Can develop complex literature search strategies in a variety of syntaxes, • Can accurately and quickly screen records against a set of inclusion / exclusion criteria, • Can design a data extraction form and extract data accurately, • Can synthesize findings from a data extraction worksheet into a Word or PPT report 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, amongst other projects. Role scope/responsibility: Conduct and help supervise/lead 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 Apply now for more info on the role, company, and to discuss your motivations in more detail. Freelance & Permanent contracts considered. Q2 start date (earlier the better) desirable. This role will be remote based ~ multiple locations considered

Medical Science Liaison (MSL) UK Haematology / Oncology (CML) IQVIA is recruiting an experienced Medical Science Liaison (MSL) to support a UK launch within Chronic Myeloid Leukaemia (CML). This is a high‑visibility, field‑based medical role, acting as a non‑promotional scientific partner to NHS haematology stakeholders and contributing to launch readiness, insight generation, and cross‑functional collaboration. Key Responsibilities • Deliver disease‑state scientific exchange in CML (non‑promotional)., • Build and maintain strong UK KOL relationships across key haematology centres., • Support pre‑launch medical readiness, scientific platforms, and insight generation., • Capture and communicate medical insights to inform evidence strategy and decision‑making., • Support compliant RWE, ISS, advisory boards, congresses, and scientific meetings., • Act as a trusted medical subject‑matter expert to internal stakeholders post‑launch. Candidate Profile • Advanced life‑science degree (PhD, PharmD, MD, MSc, or equivalent)., • Min 2–3+ years’ UK MSL experience., • Oncology and/or haematology MSL background., • Strong knowledge of the ABPI Code and UK compliance., • CML experience and launch exposure highly desirable. Location • London or South of England preferred, with national UK coverage., • Hybrid working with regular NHS and scientific engagement. This is an excellent opportunity for an MSL seeking early‑phase launch exposure within a fast‑moving medical affairs environment.

As a Biopolymer Scientist / Materials Engineer at Sealeo, you will take a central role in the development of a cutting-edge biomaterial system at the heart of the company’s technology. This is a hands-on, applied materials role with real ownership and responsibility. You will work directly with the founders on polysaccharide-based and soft-matter systems, generating new experimental data, structuring and interpreting existing results, and guiding technical decisions that shape Sealeo’s development trajectory. Your work will directly influence how a novel biomaterial progresses from early-stage development toward industrial readiness. This role suits someone who thrives in fast-moving, ambiguous environments and enjoys tackling complex materials challenges that do not yet have established playbooks. You will balance rapid experimentation with deeper materials understanding, making informed judgement calls that matter. You will collaborate with leading academic and industrial partners, engaging with advanced testing, validation, and scale-up capabilities beyond a single lab. This offers rare exposure to the full journey of novel biomaterials, from bench-scale science to real-world application. The role is part-time (2-3 days per week) with high flexibility in working hours and an outcome-driven approach. As Sealeo grows, there is clear potential to transition into a full-time position within 12 months, with scope for expanded responsibility and long-term technical leadership for the right person. Responsibilities Material Development & Evaluation: • Take a central scientific role in the development of novel biopolymer-based material systems, working with polysaccharides and soft-matter materials., • Contribute to Sealeo’s work within a large funded consortium, supporting and coordinating material validation, characterisation, and scale-up activities across partners., • Identify, evaluate, and select suitable biopolymer inputs and functional material components based on performance, manufacturability, and scale-up considerations., • Design and execute bench-scale experiments to develop, optimise, and characterise biomaterials., • Correlate material chemistry and structure with macroscopic properties relevant to real-world performance., • Structure, consolidate, and critically analyse existing experimental data to support clear technical decisions., • Design and generate new experimental data to resolve open technical questions and reduce development risk., • Develop and validate analytical test methods to ensure consistency and reproducibility in formulation performance., • Communicate material insights and formulation changes internally and externally, enabling effective collaboration with research organisations, scale-up partners, and manufacturing stakeholders., • Ensure experimental work remains aligned with manufacturing constraints, cost considerations, and downstream deployment requirements., • Contribute to the development of intellectual property, including patents and trade secrets. Qualifications Must-have: • PhD (ongoing or completed) in Materials Science, Polymer Chemistry, Chemical Engineering, or equivalent hands-on industry experience., • Demonstrated hands-on laboratory experience working with polysaccharides (e.g. alginate, cellulose, chitosan, starch) in material or formulation contexts., • Proven experience developing and testing physical material systems, such as foams, hydrogels, porous materials, or biopolymer-based composites., • Strong experimental skills, including designing experiments, generating reproducible data, and analysing results., • Experience working in exploratory R&D environments, with comfort navigating ambiguity and incomplete data., • Ability to translate experimental findings into clear technical conclusions and recommendations that support decision-making., • Strong written and verbal communication skills for technical documentation and partner-facing discussions. Nice-to-have: • Familiarity with thermal properties, heat transfer, and insulation-related material performance., • Exposure to thermal cycling, stability testing, or durability studies under repeated operating conditions., • Experience interfacing with scale-up, pilot manufacturing, or process engineering teams.

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 T-cell-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 T-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 T-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.

NABA London is currently seeking 2 motivated individuals for the role of Course Leader The successful candidates will be based in London and work closely with the School Director and Head of Education. In this role the role the Course Leader will ensure all activities aimed at innovating, planning and developing courses guaranteeing full student satisfaction and providing coordination and support to external faculty. They will ensure the supply of teaching activities and didactic support during all phases of the programs, using the professional Institutions and Companies network to generate opportunities for the students. The selected candidate will carry out the following activities: Course Planning • Elaborate the schedule of assigned courses and the alignment of activities carried out by the external faculty, in collaboration with the Academic Coordination and with the campus laboratories, considering occupancy, program aims and curriculum and student experience., • Ensure the production and reviewing of the program handbooks., • Provide support to the Director of Education for all needs connected to program accreditation processes. Course Delivery • Supervise the monitoring of course performances and related planning activities, taking necessary action and implementing any necessary changes in accordance with the Director of Education based on the results of student surveys (Surveys are prepared and managed by the Academic Coordination), • Ensure the elaboration of student study plans and provide support for the fine-tuning of student portfolios;, • Prepare purchase requests to be submitted for approval of the Director of Education (materials, visiting professors, rentals, professional services, etc.). Academic & Teaching Activities • Prepare the educational materials, lectures and exams for teaching activities for all academic activities related to their program(s) including but not limited to scheduled courses and workshops; as content experts,, • Deliver a minimum of 48 hours of direct scheduled teaching time (lessons) within a calendar year (independent of and in addition to in-class activities for which they already participate in as supervisors and coordination of the program), • Supervise and support the development of high-level student projects and final portfolios;, • Ensure attendance in faculty meetings, admissions tests and examination committees;, • Guide, structure and ensure the implementation of full assessment process to a high academic standard;, • Prepare academic improvement planning reports,, • Take active role in course panels and academic panels, • Support external boards and progression boards., • Participate in lectures, talks and conferences online or off campus at host institutions and/or events., • Collaborate and support in the organization of events, exhibitions, presentations, shows of student and/or academic work., • Define and supervise the academic research activities and special projects related to their program’s areas. Academic Dissemination • Proactively support the dissemination and communication of School project outputs and initiatives., • Promote and oversee producing (scientific) papers, reports, and short essays to be published and used in communication activities, in collaboration with the external faculty. Faculty Management • Ensure the definition of the faculty, scouting and managing the selection of new teachers and monitoring their performances, • Ensure tutoring activities to support students in their activities. Student Care • Offer an interface and support to students concerning all academic matters (support for in-depth studies of didactic topics or for the development of specific projects), • Ensure the monitoring of students’ satisfaction (assessment of teachers, satisfaction with the academic content and with support activities and staff, etc.) and formulate proposals for improvement. Support non-Academic Activities • Ensure participation in promotional activities and candidate consultation to support Enrollment and Admissions (Open Days, application reviews, and candidate assessment, etc.), • Review portfolios submitted by prospective students as part of the admissions process prior to enrollment in NABA., • Provide support in Industry Relations activities (management of relations with companies) and to Career Services (scholarships, internship opportunities and projects), • Provide support during the Scholarship assignment process., • Provide support to Communications in the identification of quality student projects and documentation. SEN (Special Educational Needs) and SpLD (Specific Learning Difficulties) Academic Coordination • Work in close collaboration with the Student Support Office to ensure an inclusive and supportive academic environment., • Oversee the academic alignment of personalized study plans and support measures for students with Specific Learning Difficulties (SpLDs), ensuring that accommodations are coherent with the program’s structure and learning outcomes., • Contribute to the design and implementation of inclusive teaching practices, • Promote awareness within the faculty, and ensure that academic materials, assessments, and learning strategies are accessible and responsive to diverse student needs. Requirements Academic Qualifications: • Master’s degree (PhD preferred) in a relevant discipline within the field of design, arts, communication, or other related areas. Experience: • Proven experience (minimum 7 years) in academic program coordination and course planning within higher education institutions., • Demonstrated teaching experience, with a minimum of 50 hours of direct instruction annually., • Experience managing academic faculty and coordinating external professionals., • Familiarity with program accreditation processes and academic quality assurance standards. Skills & Competencies: • Strong project and time management skills, with the ability to manage multiple academic and operational responsibilities simultaneously., • Excellent interpersonal and communication skills, with a student-centered mindset., • Ability to support, supervise and evaluate student academic performance, portfolios, and research projects., • Competency in curriculum design and delivery, learning assessment strategies, and educational innovation., • Capacity to draft academic materials, including handbooks, research publications, and course documents., • Ability and experience in contributing to projects or initiatives that are university-wide or cut across academic disciplines with demonstrable beneficial outcomes, • Ability to manage cross-disciplinary teams working on bespoke projects/initiatives., • Experience of developing new practices, or processes, and or policies. Language Skills: • Fluency in English (C1 level or higher); knowledge of another language is a plus. Other Requirements: • Availability to participate in promotional and institutional events (Open Days, conferences, exhibitions, etc.)., • Interest in supporting industry relations, student career services, and research dissemination., • Commitment to fostering academic excellence and innovation in higher education. Inclusive Education & Student Support • Solid understanding of inclusive teaching principles and UK higher education policies regarding students with disabilities, including the Equality Act 2010., • Experience supporting or coordinating academic adjustments for students with Specific Learning Difficulties (SpLDs), in collaboration with Student Support services., • Awareness of pedagogical approaches such as Universal Design for Learning (UDL) and inclusive assessment methods., • Completion of CPD training or relevant short courses in inclusive education or neurodiversity (desirable). Terms of Employment Contract: Full-time Contract type: Consultant Workplace: Based in London (Here East) Working pattern: On-site Start date: June 2026

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

About the Role: We are seeking a highly experienced Associate Director in Global Regulatory Strategy to join a leading pharmaceutical organization. This role offers the opportunity to drive regulatory strategy for neurology products across development and post-approval stages. You will act as a key point of contact for global and regional regulatory authorities, lead submissions (CTA/MAA), and contribute to lifecycle management strategies. This is a senior, strategic position with significant exposure to cross-functional teams, senior stakeholders, and international regulatory initiatives. The successful candidate will have the freedom to shape regulatory strategy, influence business decisions, and represent the organization at regulatory and industry events. Key Responsibilities: • Lead and execute global regulatory strategies for assigned products across neurology therapeutic areas., • Manage regulatory submissions (CTAs, MAAs) and liaise directly with authorities., • Provide strategic guidance to cross-functional teams and influence decision-making., • Oversee product lifecycle management, ensuring compliance with international regulations., • Mentor and develop junior regulatory staff and contribute to team growth. Requirements: • Significant experience in global regulatory affairs with proven submission experience (CTA/MAA)., • Experience interacting with regulatory authorities, ideally EMA, MHRA, or comparable agencies., • Strong understanding of lifecycle management for both development and established products., • Excellent communication and stakeholder management skills., • Scientific or pharmaceutical background (PhD, PharmD, or MSc in a relevant field preferred)., • Experience in neurology is desirable but not essential. Why Join: This is a unique opportunity to work in a collaborative, forward-thinking environment, with exposure to senior leadership and international regulatory operations. You will play a pivotal role in shaping the regulatory strategy and supporting products that make a meaningful impact on patients.

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

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview This opportunity is for a Quantitative Analyst at the Vice President (VP) level within the Capital Analytics team within Citi's Markets Quantitative Analytics (MQA) in London. Team Overview The Capital Analytics team within Citi's MQA group in London develops and maintains the firm's regulatory capital calculation framework for counterparty credit risk. The team produces Standardised Approach for Counterparty Credit Risk (SA-CCR)-based RWA, Resolution metrics, and Global Systemically Important Banks (G-SIB) indicators across global derivatives and financing portfolios. Sponsored by the Head of Counterparty Trading and Risk, the team partners closely with Technology to deliver scalable batch systems that generate daily regulatory capital outputs for Front Office, Risk, Resolution Planning, and GSIB reporting. It also builds high-performance analytics and trade-level attribution tools that help Front Office quantify and optimise the capital impact of trading activity. Role Overview This role sits within the Capital Analytics function and involves developing quantitative models, analytics, and production systems that support Front Office capital transparency and regulatory capital compliance. It requires strong quantitative and programming skills, as well as the ability to work closely with trading, technology, and control functions. Responsibilities • Design, implement, and maintain cross-asset quantitative analytics supporting regulatory capital frameworks for Markets Front Office, including SA-CCR, Resolution metrics, and GSIB indicators, using advanced mathematical, statistical, and computer science techniques. Core implementation languages include Python and C++., • Engineer and optimise capital computation engines and production workflows, ensuring robustness, scalability, and computational efficiency across daily global regulatory capital runs., • Collaborate closely with trading desks, structurers, and Front Office quants to provide analytics, model insights, trade-level attribution, and support for capital-efficient structuring and pricing., • Partner with control groups such as Model Risk Management, Market Risk, and Compliance to ensure strong governance, model validation, documentation, and adherence to regulatory requirements., • Assess risk-reward trade-offs in model development and analytical decisions, reinforcing a culture of prudent risk management and reputational awareness across the team.Qualifications, • Relevant prior experience in a comparable quantitative modeling or analytics role in the financial sector., • MSc or PhD in a relevant quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, or Quantitative Finance., • Excellent technical and programming skills in C++ and/or Python, with the ability to write efficient, maintainable, and production-quality code., • Financial product knowledge and familiarity with the quantitative methods used in pricing, risk, and analytics., • Clear and concise communication skills, demonstrated in both written and verbal form, with the ability to explain complex quantitative concepts to diverse stakeholders.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:, • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends, • Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Risk Management ------------------------------------------------------ Job Family: Model Development and Analytics ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

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 enjoy 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 narratives and engaging educational content. We are looking for a Senior Medical Writer to join our growing team. You will be responsible for: • Demonstrating an in-depth scientific knowledge of allocated accounts and using this to shape medical communications materials, • Leading on content development for increasingly complex projects and defined workstreams, with senior oversight, • Understanding the product strategy and applying strategic thinking to all work, • Taking the lead on scientific content discussions with clients and external experts on defined projects or areas of responsibility, • Being seen by the client team as a trusted source of product and therapy‑area expertise, • Collaborating with internal colleagues and departments, including Client Services, Creative, Editorial and Strategy, to ensure the seamless delivery of projects, • Contributing to new business opportunities through research and content development for pitches 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, • Company closure between Christmas and New Year If you are passionate about bringing science to life, then we would love to hear from you.

We are currently recruiting 2 PhD students for October 2026 entry, as part of a BBSRC-funded Industrial Doctoral Landscape Award. Please get in touch if interested and apply via the links below. Note: Due to funding requirements, these positions are open to candidates eligible for UK Home fees only. PhD Project 1 Oral Microbial Metabolism in the Entero-Salivary Nitrate Pathway The oral microbiome plays a central role in the nitrate–nitrite–nitric oxide pathway, linking dietary nitrate metabolism to oral ecology and systemic physiology. However, in polymicrobial biofilms nitrate-derived intermediates may be diverted into alternative nitrogen pathways depending on microbial interactions and environmental context. The mechanisms governing this metabolic branching remain poorly understood. This project will combine ex vivo oral biofilm models, systematic microbial co-culture screens, stable isotope tracing and multi-omics approaches (metagenomics, transcriptomics, metabolomics) to identify how microbial interactions and environmental factors such as oxygen, pH and nutrient availability influence nitrate metabolism. The student will receive interdisciplinary training in: • Oral biofilm modelling, • Anaerobic microbiology, • Stable isotope probing and metabolic flux analysis, • Multi-omics data integration and systems biology Students benefit from a 4-year tax-free London-weighted UKRI stipend plus £3,000 annual industry uplift, cross-institutional training, and specialist isotope training at the University of Glasgow. Applicants should have a strong background in microbiology, molecular biology, biochemistry, bioinformatics, chemistry, or related disciplines. PhD Project 2 Oral–Systemic Links: Periodontal Microbes and the Blood–Brain Barrier Large population studies link periodontitis with cognitive decline and dementia, but the underlying biological mechanisms remain poorly understood. Emerging evidence suggests that metabolites produced by periodontal pathogens, including Porphyromonas gingivalis, may directly affect vascular and neurological function. This interdisciplinary project will combine microbial–endothelial co-culture models, transcriptomics, molecular and cellular assays, and human microbiome and metabolomic data integration to identify pathways through which oral microbial metabolites influence BBB function. The student will: • Investigate how microbial metabolites affect endothelial signalling and BBB integrity, • Apply RNA-seq, immunohistochemistry and targeted pathway inhibition approaches, • Integrate clinical microbiome, metabolomic and immune datasets, • Test functional effects of human serum on BBB models The studentship provides a 4-year tax-free London-weighted UKRI stipend plus £3,000 annual industry uplift, interdisciplinary training and opportunities to work at the interface of microbiology, neuroscience, vascular biology and clinical research.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional research engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding research engineer role, with the opportunity to set the research agenda and shape the architecture from day one. • Drive foundational research and engineering for reasoning over complex tabular data, • Design, implement, and iterate on new encoders (including graph transformers) for complex heterogeneous data, • Develop creative and impactful self-supervised learning objectives and translate them into production-ready systems, • Scale novel foundation models across huge datasets, • Build, optimize, and maintain scalable training and evaluation pipelines, • Fine-tune foundation model embeddings into high-value downstream tasks, • Work hands-on across the full stack, from research ideas to deployed systems, • Guide and mentor an exceptional team of research engineers Required experience • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems, • MSc / PhD in Mathematics, Physics, Computer Science, or a related field, • Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX), • Strong background in graph neural networks and transformer architectures, • Demonstrated ability to turn research ideas into robust, scalable implementations, • Comfortable owning whatever needs doing, from research prototypes to infrastructure, • Experience optimizing large-scale training runs on GPU clusters Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Applied AI Engineer | London 🚀 One of the fastest moving AI startups in London, backed by some of the world’s top VCs and founded by real entrepreneurs with multiple exits 💸 This is a rare chance to join at an early stage and build at the absolute frontier of applied AI, working directly with the founders on a product already used by global enterprise customers 🔥 Why this is exciting • Build and ship production AI systems including RAG pipelines and AI agents, • Work end to end across backend, infrastructure and AI, • Shape architecture, engineering standards and culture from day one, • Huge ownership and real impact 🧠 What you need • 5+ Years professional software experience (Python), • Excellent Educational Background (BSc, MSc, PhD - 2.1 or higher), • Hands-on experience building and deploying AI applications, • Comfortable moving fast in high ambiguity environments, • Genuine passion for building products that scale 🎁 What is on offer • Very competitive salary + meaningful equity, • Direct access to truly entrepreneurial founders, • A defining role at one of London’s most ambitious startups Challenging and intense, but tons of fun 🙌 Apply here, or pop your CV to to find out more!

We have partnered with an end-to-end biotech company that is developing transformational medicines, with technology at its core. The company’s ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. The company is rapidly scaling its technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio organisations. Based in central London, its state-of-the-art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. It is pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. The company believes that innovation flourishes through diversity and collaboration. As an equal opportunities employer, it is committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. Individuals from all backgrounds are encouraged to apply. The Opportunity The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. The Research Engineer will collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, the engineer may work within a specific ML team or operate in a cross-functional capacity. Based at the company’s wet/dry lab and headquarters in central London, the role involves working with large datasets, complex models, and high-performance compute. The engineer will strengthen training and inference pipelines, improve software foundations, and optimise the hybrid on-prem/cloud environment, including dedicated DGX clusters and collaborations with partners like NVIDIA. Responsibilities • Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering, • Build and improve data processing, transformation, and loading systems to support model training and inference at scale, • Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation, • Advance software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows Education & Experience • BSc/MSc/PhD in Computer Science, Machine Learning, Engineering, or related field, • 2+ years of industry experience Core Skills • Solid understanding of algorithms, data structures, and computational complexity, • Proficiency in Python with clean, maintainable coding practices, • Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise • Solid understanding of ML fundamentals and modern deep learning, • Experience training, evaluating, and iterating on models Infrastructure • Familiarity with AWS or GCP, Docker, Kubernetes, and CI/CD, • Familiarity with orchestration tools (Airflow, Prefect) and model-serving frameworks Nice to Have • Exposure to biology, bioinformatics, or machine learning for scientific domains Personal Attributes • Collaborative team player, able to communicate effectively with stakeholders from diverse backgrounds and technical abilities, • Passionate about science and making a real difference for patients, • Self-motivated, curious, and driven to succeed, • User-minded: considers how datasets and models will be used downstream, • Comfortable working independently and taking initiative Why Join • Work in a highly collaborative, interdisciplinary environment, • Access to state-of-the-art wet and dry lab facilities in central London, • Shape the systems and infrastructure that support cutting-edge ML research, • Contribute directly to advancing drug discovery and improving patient outcomes The company is a committed equal opportunities employer and welcomes applicants from all backgrounds.

Principal / Senior Medical Writer - Publications background Hybrid – London An established and growing medical communications agency is looking for an experienced Principal / Senior Medical Writer to join their scientific team. This is a great opportunity for a confident writer who enjoys working across multiple therapy areas, partnering closely with clients, and helping shape high-quality scientific communications. You’ll take a leading role on projects, mentor junior writers, and contribute to strategic discussions across accounts. What you’ll be doing • Leading the development of high-quality scientific and medical communications materials, • Translating complex clinical and scientific data into clear, engaging content for healthcare audiences, • Acting as a key scientific contact for clients and external experts, • Reviewing and quality-checking work from colleagues and freelancers, • Mentoring and supporting the development of junior writers, • Contributing to account strategy, project planning, and timelines, • Participating in client meetings and scientific discussions What they’re looking for • Experience in medical writing within a medical communications / healthcare communications agency, • Strong scientific writing and data interpretation skills, • Experience developing a range of medical communications deliverables, • Ability to manage multiple projects and deadlines, • Experience reviewing work and supporting junior team members, • Good understanding of pharma compliance and publication standards Background • Degree in a life sciences discipline (PhD or MSc preferred), • Experience working in a medcomms agency and within publications, • Confident communicator who enjoys collaborating with clients and internal teams If interested, please apply below or email me your cv on .

I’m working with a well-backed, early-stage company in London building personalised cancer vaccines. They treat this as a deep technical challenge first: modelling the evolutionary arms race between tumours and the immune system, where signals are sparse, ground truth is costly, and predictions need to be trustworthy in the clinic. Small, driven team + real patient projects and data from day one - no waiting around. They’re hiring a Founding ML Engineer to own and build the core ML platform that designs these vaccines. The problem space is unusually interesting: • Sequence models + structured prediction for neoantigen targeting, • Evolutionary dynamics, selection pressures, inference from limited/noisy observations, • Game-theoretic thinking about tumour-immune interactions You’ll go from research ideas → production systems: standing up training infra, leveraging serious compute, prioritising clean abstractions. They want someone who: • Has strong mathematical foundations (reads methods sections in top papers comfortably), • Brings a genuine publication record in strong venues (NeurIPS, ICLR, ICML etc.), • Can independently build foundational models - mix of fine-tuning SOTA architectures + designing from scratch, • Is passionate about hard, high-stakes prediction problems (sceptical of pure leaderboard chasing), • Can ship fast without regrettable tech debt Biological domain knowledge helpful but not required - they’ll teach the oncology context. Why this role stands out • Backed by genuine industry leaders + top US VCs, • Strong initial funding and long runway, • Live customer projects - impact from week one, • Large R&D budget + fast experimental validation loops for models, • Flexible start dates (finishing PhD later in 2026? No issue) Hands-on founding role with real ownership. London-based. Salary: £100,000 - £200,000+ meaningful equity (they pay for impact). Central London (On-site)

Arcus Search have partnered with a leading Financial Services organisation in London who are looking for a Senior Software Engineer to join the team. More details are below: Role: Senior Software Engineer Location: Central London - 3 days a week in the office Salary: £150,000 - £200,000 + bonus The role: This role sits within the Platform Engineering function, responsible for building and owning the platforms and tools that enable scalable, resilient, and high-performance systems. The platforms process large volumes of data, and this role focuses on enabling seamless data movement by developing and maintaining SDKs and libraries used across a wide range of applications. Requirements: • Expert level in Python, • Strong level of Kubernetes, • DevOps experience, within tools such as Terraform, ArgoCD, Helm, or other IaC, • Degree within Computer Science, ideally at Masters or PhD level, • Experience with Kafka, Spark, Trino would be beneficial If interested, please apply below with your CV.

The purpose of the role is to provide programming support to the statistics and programming department across a range of projects, therapeutic areas and functional streams within a fixed FSP model. This role will support jHTA work across Oncology, GI2 and NS, ensuring strong coordination with internal ADaM standards teams. The Senior or Principal Programmer may also perform a supervisory role (e.g., line management and/or project management) and will act as a primary point of contact where required. Key Responsibilities: Technical • Strong TLF programming expertise, including advanced use of proc report, transpose and tabulate for complex, ground‑up shell development., • Proficiency in macro programming to support standardized, scalable solutions across therapeutic areas., • Working knowledge of ADaM standards, including the ability to independently read, interpret and modify ADaM specifications., • Review clinical trial documents including protocols, SAPs, CRFs and CSRs., • Author, review and approve TFL shells and dataset specifications., • Author, validate and document SAS programs for datasets, TFLs and macros, applying good programming practice., • Read the SAP, assess programming and standards impacts, and propose changes to ADaM specifications where needed., • Identify data issues, anomalies and outliers proactively., • Complete, review and approve CDISC validation reports., • Identify standards‑related issues and resolve or escalate as appropriate., • Maintain awareness of emerging standards and assess potential impact to ongoing and upcoming trials., • Maintain proficiency in SAS and awareness of industry developments., • Maintain study master file documents and ensure all documentation is audit‑ready., • R programming experience is an advantage for expanded analytical flexibility. General • Lead internal and client‑facing study, project and cross‑functional team meetings effectively., • Present study and programming updates internally and externally., • Share scientific, technical and practical knowledge with team members and colleagues., • Perform all work in full compliance with applicable internal processes, procedures, systems and training., • Build strong collaborative working relationships with both internal teams and FSP partners., • Ensure project learnings are captured and shared appropriately., • Develop and deliver internal technical training where appropriate., • Lead or contribute to process improvement initiatives. Minimum Qualification Requirements • BSc, MSc or PhD in a numerical discipline (or equivalent relevant industry experience)., • At least 4 years of relevant industry experience. Other Information / Additional Requirements • Strong understanding of the clinical drug development process, relevant disease areas, endpoints and study designs., • Ability to work effectively across geographies with 2–3 hours of time‑zone overlap., • Experience working within an FSP model is advantageous. If you're passionate about delivering high-quality deliverables and want to make a real impact at a company that values your contribution, this role is for you. We offer flexible working options (home or office), comprehensive training, and a competitive package. Apply now! Veramed is a B Corp accredited company which means that we use the power of business to build a more inclusive and sustainable economy meeting the highest verified standards of social and environmental performance, transparency, and accountability. As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.

Data Science Consultant London | Manchester Hybrid £Competitive + Bonus + Benefits Datatech Analytics is partnering with a leading global consultancy to appoint a Data Science Consultant to join a growing Digital & Data practice. This role sits within a multidisciplinary team of data scientists, engineers and consultants delivering advanced analytics solutions across sectors including financial services, energy, government, defence, health and consumer industries. You will work closely with clients to translate complex business challenges into analytical approaches, building models and data-driven solutions that support better decision making. There is particular interest in candidates with backgrounds in Operational Research and Geospatial analytics, where mathematical modelling and spatial analysis can drive insight into complex systems, optimisation challenges and real-world decision making. The Role As a Senior Data Science Consultant you will combine strong technical capability with consulting skills, working directly with clients to design, develop and deploy advanced analytics and machine learning solutions. You will work across the full analytics lifecycle, from problem definition and exploratory analysis through to model development, deployment and stakeholder communication. Typical responsibilities include: • Designing and delivering advanced analytics, machine learning and modelling solutions, • Translating client business challenges into analytical frameworks and data-driven insights, • Developing predictive models and operational research approaches for complex decision problems, • Applying spatial or geospatial analytics where relevant to support real-world applications, • Working with cross-functional teams including product, engineering and design, • Communicating analytical approaches and findings to technical and non-technical stakeholders Key Skills and Experience We are looking for candidates with strong academic foundations and experience applying advanced analytics in real-world environments. You may bring experience across: • Data science, machine learning or statistical modelling, • Operational research, optimisation or mathematical modelling, • Geospatial analysis or spatial data modelling, • Python, SQL and data analysis tools, • Data visualisation and dashboard development, • Experience working with large datasets and cloud based analytics environments A degree, MSc or PhD in a quantitative discipline such as data science, mathematics, operational research, physics or statistics would typically be expected. Why This Role This is an opportunity to work at the intersection of advanced analytics, consulting and real-world impact, helping organisations solve complex challenges through data. You will work alongside experienced technologists, scientists and consultants on varied projects across multiple industries, while continuing to deepen your technical expertise and develop your consulting capability. Eligibility for UK security clearance may be required for some projects.

Lead Gen AI Engineer/ Architect London - Flexible Working Options Available £80,000-£90,000 + Bonus + Benefits Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This is a senior, hands-on role for someone who blends deep technical expertise with the ability to influence at board and C-suite level. • Shape and deliver enterprise-scale AI & Generative AI strategies aligned to real business outcomes., • Design, build, and deploy end-to-end AI pipelines – from data ingestion to secure, scalable production systems., • Lead the development and operationalisation of advanced models, including LLMs, diffusion models, and other generative techniques., • Architect production-grade RAG systems, evaluation frameworks, and responsible AI guardrails., • Stay at the forefront of AI research, translating emerging capabilities into practical, high-impact solutions., • Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence. Background & Experience • PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience)., • Extensive experience designing and deploying enterprise AI/ML solutions in production., • Proven leadership of technical teams and senior stakeholders., • Deep domain experience in regulated or data-rich industries (e.g. financial services, healthcare)., • Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence • Expert Python and modern ML frameworks (PyTorch, TensorFlow)., • Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar)., • Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security., • Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems., • Strong MLOps / LLMOps capability: CI/CD, monitoring, governance., • Cloud expertise across AWS, Azure, and/or GCP (cloud-agnostic preferred)., • Ability to communicate complex AI concepts to non-technical audiences.

Scientific Services Director Location: Hybrid Reports to: Managing Director The Role OUTSTANDING opportunity for an experienced Scientific Services Director to lead an inspiring Editorial team and drive scientific excellence across the business. This is a senior leadership role with responsibility for quality, delivery, team development, and scientific strategy across client accounts. You will shape high-impact scientific communications, contribute to business growth, and play a key role in steering the agency toward its long-term ambitions. Key Responsibilities Scientific Leadership & Quality • Lead and develop a high-performing team of Medical Writers and Editors., • Ensure delivery of accurate, compliant, and strategically aligned scientific content — on time and within budget., • Maintain oversight of regulatory and publication standards (GPP, ICMJE, ABPI, EFPIA)., • Mentor and develop team members to support performance and career progression., • Allocate resources effectively based on expertise and development goals., • Provide scientific leadership in proposals, pitches, and client discussions., • Advise on scope, timelines, and budgets., • Partner with Client Services and Creative teams to ensure seamless delivery., • Advanced life sciences degree (PhD, PharmD, or MD preferred)., • Significant medical communications experience (agency or pharma)., • Strong leadership background within scientific services., • Deep understanding of clinical data, compliance, and publication ethics., • A genuine opportunity to shape scientific strategy within a growing independent agency., • Collaborative, values-driven culture: Excellence, Curiosity, Integrity, Collaboration., • Flexible working and strong career development potential.

Senior Data Scientists Hybrid working pattern Who we are • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung., • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. As a Senior Data Scientist in our London office, your role will encompass: • Designing and implementing advanced data science and machine learning solutions to solve complex business problems., • Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees., • Supervising and mentoring team members on code, deployment, and best practices. Necessary education and experience • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field., • Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders., • Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference., • ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines., • Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces., • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus., • Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray., • Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.