Principal Scientist (PD/MSAT)

Relation Therapeutics

ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Relation is offering an outstanding opportunity for a Senior Scientist II / Principal Scientist, In Vivo Biology & Translational Science to help drive our growing discovery portfolio. We are looking for an experienced in vivo biologist with a strong track record of independently leading outsourced work packages through CRO partnerships and translating data into actionable project decisions, initially in support of our osteoporosis programme with scope to contribute across indications as the portfolio grows. In this role, you will own the design, delivery, and interpretation of in vivo pharmacology work packages, partnering closely with CROs and cross-functional colleagues across medicinal chemistry, biologics, DMPK, and safety. You will work at the intersection of experimental science and data-driven discovery within a growing TechBio company. DAY TO DAY, YOU WILL * Lead in vivo pharmacology strategy for projects within Relation's discovery programmes, proposing and championing the right study designs to support go/no-go decisions and milestone planning across multiple concurrent projects * Drive the execution, monitoring, and interpretation of in vivo pharmacology studies across target engagement, PK/PD, and disease-relevant efficacy endpoints * Own end-to-end CRO relationships for externally commissioned in vivo work packages: from vendor selection and SOW set-up through in-life liaison, data review, troubleshooting, and reporting * Commission in vivo-relevant in vitro and ex vivo assays, such as target engagement, pharmacodynamic, and mechanistic readouts, that directly inform study decisions and data interpretation * Translate biology data into clear, actionable insights and recommendations, communicating findings effectively to project teams and senior stakeholders * Maintain rigorous documentation standards across outsourced study packages, including ELN, protocol authoring and review, and study reporting * Champion Relation's collaborative, ambitious and science-driven culture, sharing scientific expertise across the team and helping to build an outstanding drug discovery organisation PROFESSIONALLY, YOU WILL HAVE * A PhD in Biology, Pharmacology, Biochemistry, or a related scientific discipline or equivalent experience in industrial drug discovery * Deep expertise in mammalian in vivo study design across target engagement, PK/PD, and efficacy endpoints, with the scientific judgement to define the right experiments to drive project decisions, a sound knowledge of 3Rs principles, and a proven record of delivering through CRO partnerships to quality and timeline * Experience commissioning or interpreting in vitro and ex vivo assays in support of in vivo programmes, including target engagement, pharmacodynamic, and mechanistic readouts * Experience across multiple stages of drug discovery (target ID through candidate selection) and across more than one disease area or physiological system * Scientifically rigorous and analytically critical, with the ability to interrogate data, challenge assumptions, and deliver across a broad and fast-moving project portfolio * Exceptional communication and stakeholder management skills: able to distil complex biology into clear project-level insights and influence cross-functional decisions * A deep passion for disease biology and drug discovery, with intellectual curiosity, enthusiasm for tackling complex scientific problems, and a drive to integrate emerging technologies with experimental science * Bonus experience: experience working across different drug discovery modalities, including small molecules and/or biologics; experience in a TechBio or AI-driven discovery environment. PERSONALLY, YOU * Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. * Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. * Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. * Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. * Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.

Ekimetrics

Les entreprises qui performent décident mieux. Depuis 2006, Ekimetrics aide les organisations à transformer leurs décisions en avantage concurrentiel durable grâce à des solutions d’IA. Notre double ambition est d’allier performance et durabilité, pour construire un leadership pérenne.     Nos solutions sont une combinaison unique de People et de technologie. Notre plateforme Eki.Decisions complète l’expertise de nos équipes en marketing, efficacité commerciale et data science, pour connecter l’IA aux décisions qui structurent toute l’organisation.     Avec une équipe 100% internalisée et des bureaux à Paris, Londres, New York, Hong Kong et Shanghai, nous nous engageons pour une IA responsable et frugale, pour garantir un avantage concurrentiel constant, et pour rester fidèles à nos valeurs et à notre ADN.       Vous rejoignez l’équipe Produit - Data & AI Engineering Au sein de l’équipe R&PD (Research & Product Development) nous concevons et industrialisons des solutions Data & IA SaaS à fort impact business, qui répondent aux enjeux de nos clients grâce à l’analytics, la data science et l’intelligence artificielle.  Ces solutions reposent sur des briques Data & IA (librairies d’IA, pipelines data, workflows de data science, standards d’industrialisation, modules d’automatisation, etc.) qui, combinées au sein de nos produits, embarquent les logiques d’IA, de traitement de données et d’industrialisation nécessaires à la valeur délivrée par nos solutions.  Nous recherchons aujourd’hui un·e Technical Product Owner pour piloter l’évolution de ces briques, garantir leur bonne intégration dans nos produits et maximiser leur impact sur la fiabilité, la performance, la scalabilité et la valeur délivrée à nos clients.    Votre rôle dans l’équipe  En tant que Technical Product Owner, vous serez responsable de transformer les besoins produit, data et engineering en briques Data & IA concrètes, robustes, documentées et intégrées dans nos solutions.  Vous travaillerez en étroite collaboration avec les Product Managers, Tech Leads, Data Engineers, Software Engineers, Data Scientists, DevOps et équipes projet afin de construire des briques techniques fiables, maintenables et scalables.    Vos principales missions seront :  Delivery & pilotage du backlog  Structurer, maintenir et prioriser le backlog des briques Data & IA.  

AutoScout24

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.  As Principal Data Scientist, you will define and drive the data science strategy across AutoScout24, with a strong focus on AI, machine learning, and Generative AI. You will work closely with product, engineering, and business leaders to turn data into scalable products that create clear business impact. You will lead senior data scientists and act as a technical role model across the company. WHAT YOU’LL DO  * define and own the data science and AI strategy across the organization * lead development and scaling of predictive and generative AI models for marketplace and fintech use cases * partner with product and business leaders to align ML initiatives with company goals * design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS * build and operate production-ready ML solutions using AWS services (e.g. SageMaker, S3, Lambda, EMR, etc.) * ensure model quality, monitoring, governance, and compliance in production * mentor and develop data scientists and act as senior technical advisor  YOU COME WITH  * 10+ years of experience in data science, machine learning, or applied AI * strong hands-on skills in Python, SQL, and common ML frameworks * proven experience with GenAI and LLMs in real products * strong experience with AWS and its ML/data ecosystem (e.g. SageMaker, S3, EKS, Lambda, IAM) * solid background in cloud platforms, MLOps, and model deployment * ability to translate complex topics into clear business decisions * experience leading senior teams and shaping technical strategy  A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  For a career where you can drive our business and shape your future, apply now.