Owkin

Role Description In the Engineering team at Owkin, you will be at the heart of our mission to accelerate research at scale. You will contribute to building and maintaining a robust research platform that enables our data scientists and researchers to focus on what matters most - advancing scientific discoveries. - Design, implement, and maintain cloud-based infrastructure and services, mostly on AWS - Participate in incident response to ensure high availability and reliability - Gather and analyze metrics from both operating systems and applications to assist in performance tuning - Support and improve our CI/CD pipelines, development workflows, and security practices - Contribute to the design and evolution of our data architecture to support large-scale data processing while ensuring granular data access controls and security compliance - Contribute to maintaining the confidentiality, integrity, and availability of data - Lead initiatives involving multiple SRE team members - Collaborate with a variety of teams to offer pragmatic solutions and be accountable for the end-to-end execution of the SRE scope - Mentor and promote tech growth within the team - Participate in a team-wise shared on-call rotation Qualifications - 5+ years of industry experience with a Masters or BS degree in computer science, software engineering, or an associated field - Strong experience with AWS cloud computing services or similar (GCP, Azure, …) - Expertise in Terraform and Kubernetes - Experience in deploying and maintaining on-premises environments - Good knowledge of Linux environment (system, security, and network) - Experience with CI/CD tooling (FluxCD, Github actions, …) - Experience with logging, monitoring, and alerting stacks (Prometheus, Grafana, Loki, …) - Experience in cyber security and applicable standards (in particular ISO 27001) - Fluency in English is a prerequisite; additional language skills in French would be preferred - Candidates not meeting every criteria, but who can demonstrate exceptional skill in key areas, are invited to apply Requirements - Kubernetes and/or public cloud certification - Experience with maintaining high uptime services - Experience building software in a high-level language, such as Python - Experience in project management - Experience with more observability solutions (e.g., Datadog, NewRelic, Dash0…) - Worked in healthcare Benefits - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds

Role Description As a Customer Success Manager (CSM), you will be the primary strategic partner for our external clients (pharmaceutical and biotechnology companies, academic institutions, etc.). You will manage the lifecycle of our flagship product K Pro with one or more customers, ensuring they achieve measurable scientific and business impact. In addition to being a relationship manager; you are a "Scientific Orchestrator" who bridges the gap between complex AI capabilities and real-world drug research & development workflows. The Senior Customer Success is a key architect in the success of our most strategic client engagements, reporting to the Director of Customer Success and Project Management. You’ll work directly with the OWKIN Research & Technology teams and Medical and Biology Experts on the delivery and value proposition of our product. - Strategic Account & Value Management - Own a portfolio of high-value or enterprise Biopharma accounts. Build deep, trusted relationships with key stakeholders, including senior executives. - Act as a strategic advisor, ensuring clients realize the full ROI of K Pro. Develop comprehensive account and success plans aligned with customer business goals, demonstrating and tracking ROI and use cases unlocked by the platform. - Run Quarterly Business Reviews (QBRs) and strategic check-ins with client senior stakeholders and executives. Translate K Pro's value and performance metrics into tangible business impact and strategic recommendations. - Lead the delivery and integration of the platform within client environments, and potential delivery of custom additional services, tailoring "AI Skills" and orchestration layers to specific therapeutic areas (e.g., Oncology, Immunology). - Customer Retention, Growth & Health - Own the commercial health of your accounts, driving high Net Revenue Retention (NRR) and successful contract renewals. - Partner with the Sales team to identify and execute upsell/cross-sell opportunities, including bespoke agentic AI customizations, and scope high-impact use cases during early engagement phases. - Track platform adoption, Customer Health Scores, and usage metrics (including CLV) to proactively identify and intervene when risks or expansion opportunities appear. - Act as the ultimate point of contact to handle complex, high-risk situations, navigate conflict, and drive effective resolution. - Onboarding & Adoption Leadership - Lead the successful onboarding for complex customers and users on the K Pro platform. Drive product adoption and usage maturity, ensuring user adherence and collaborating with them to identify high-value use cases. - Guide customers toward achieving measurable business outcomes (ROI, KPIs). - Orchestrate product trials with internal and external stakeholders and translate insights gained into refining product and delivery. - Scientific & Product Advocacy (Voice of Customer) - Conduct regular workshops and collect/synthesize customer feedback (Voice of Customer) to identify feature gaps. Translate these into actionable feedback for Product and Engineering teams, influencing the product roadmap. - Collaborate with clients to define, document, and champion high-value use cases for both customer engagement and internal knowledge sharing. - Turn satisfied customers into powerful case studies, references, or champions. - Support pre-sales discussions, organize trial periods/pilots, and demos with potential customers. - Cross-Functional Collaboration & Leadership - Work closely with Sales (for expansions), Product (for feedback and roadmap influence), and Support/Engineering (for issue resolution). Act as the internal advocate for customer needs. - Mentor junior CSMs and help define processes, playbooks, and best practices across the Customer Success team. Lead cross-CS projects or initiatives as needed. - Leverage data and performance tracking (NRR, CLV, adoption metrics) to drive strategic decisions and prioritize actions across the account portfolio. Qualifications - Masters degree or BS in computer science (machine learning, applied mathematics, computer science, software engineering) or life sciences (MD, PharmD, biology, bioinformatics, biological engineering…) - Expertise either in customer success management, project management, or delivery of high-impact scientific research/technological products or consulting engagements. - Experience in a product owner role within the medical/pharmaceutical/biotech industry. - Ability to create and develop trust-based relationships with clients and teams. - Experience in Biostatistics/Machine Learning/Deep Learning algorithms & methodologies or complex data delivery is a plus. - Excellent written and oral communication skills. - Highly organized and meticulous about details. - Capable of tackling complex problems logically and effectively. - Excited to work in a dynamic, fast-paced environment. - Passionate about the intersections of Healthcare and AI. - Fluent in English; Fluent in French is a plus. - Occasional travel may be required as clients are based across Europe and in the USA. Benefits - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds

Role Description We are seeking a highly motivated, hands-on Scientist to join our team on a fixed-term basis to accelerate our AI-driven drug discovery programs. You will operate at the cutting edge of Agentic AI and Large Language Models (LLMs), applying these technologies to solve complex biological challenges in Oncology or Age-Related Diseases. Your key responsibilities include: - Lead AI-Driven Discovery & Strategy - Actively participate in the Target ID and analysis plan, perform rigorous triage of target candidates and ideas, transitioning from high-volume AI outputs to high-quality biological leads, and ensuring efficient workflows and feedback. - Conduct Deep-Dives on top-tier Target/asset candidates to bring them to formal "go/no-go" milestones. - Collaborate with internal technical experts to leverage advanced computational and AI methodologies for subgroups identification, thereby uncovering novel patient populations and therapeutic niches. - Act as the Internal Champion for specific targets, presenting evidence to stakeholders and steering the project through the development funnel. - Orchestrate autonomous or semi-autonomous AI workflows to generate, test, and refine hypotheses (design and execute ‘AI Scientist Campaigns’). - Participate in In Silico Drug Design discussions, acting as the bridge between computational outputs and chemistry/biology teams. - Ensure biological relevance of our AI Models & Agents (including Owkin K) - Develop and refine functional "skills" for Agentic AI systems (e.g., tool-calling functions, and specialized reasoning chains). - Work closely with data science / compBio teams to define and optimize scoring functions and multi-parameter optimization weights for target/ assets candidate prioritization. - Ensure liaison between users and product owners/developers by gathering feedback, prioritizing needs, aligning score metrics with research objectives and following ground truth definitions. - Support consistent evaluation of outputs across model versions. - Documentation and Cross-functional Support - Maintain clear and updated documentation across projects. - Manage collaborations with top-tier academic labs to integrate external innovation and validate internal models. - Support data mapping and integration efforts while ensuring the alignment of data usage with research questions. - Partner with project managers and principal scientists to execute deliverables and communicate findings effectively. - Critically review work products from outsourced tasks and internal AI-generated outputs. - Direct and oversee outsourced laboratory work, ensuring data quality and alignment with AI-driven hypotheses. Qualifications - Ph.D. in Biomedical Sciences or related fields required - Deep knowledge in Oncology and/or Age-Related Diseases. - Experience in industry, especially in applying AI to Life Sciences and/or Drug Discovery. - Strong expertise in target discovery and pipeline management. - Capability to manage internal AI workflows with minimal supervision. - Excellent communication and management skills in cross-disciplinary environments. - Familiarity with LLMs and Agentic AI frameworks. - Curiosity and a drive to understand complex systems. - Fluency in English is mandatory. - Must be available to start quickly and commit to a fixed-term contract. Requirements - Demonstrated success in using semi-automated workflows for target prioritization. - Hands-on experience with translational datasets, clinical insights, and safety assessments. - Experience in multi-OMICS. - Prior experience managing Contract Research Organizations (CROs) for wet-lab validation. - Specific experience with Antibodies (Ab) or Antibody-Drug Conjugates (ADCs) is a desired plus. Benefits - Flexible work organization. - Friendly and informal working environment. - Opportunity to work with an international team with high technical and scientific backgrounds.

Role Description We are looking for a visionary ML/AI Scientist to lead the development of our AI Scientist—an autonomous agentic system designed to navigate the complexities of drug discovery. This role isn't just about training models; it's about building "scientists in a box" that can reason over biological data, design experiments, and autonomously drive therapeutic breakthroughs. Unlike traditional ML roles that focus on single-task optimization, you will be building a meta-researcher. You’ll be at the heart of Owkin’s mission, creating the engine that will discover the next generation of life-saving therapeutics. - Architect Agentic Systems: - Design and implement sophisticated AI agents capable of multi-step reasoning, tool-use, and self-correction. - Bridge AI and Wet-Lab: - Develop frameworks where agents can propose hypotheses and design "optimal experiments" to be validated in the lab. - Scale the "Hacker" Approach: - Rapidly prototype and iterate on agentic architectures, moving from paper to production-grade code with speed and precision. - Scientific Leadership: - Maintain a watch on the frontier of GenAI and Agentic workflows, publishing high-impact research at the intersection of AI, Biology and Chemistry. Qualifications - Demonstrated Expertise in Agentic AI: - Deep understanding of LLM reasoning (Chain-of-Thought, ReAct), long-context management, and tool-augmented generation. - The Hacker Toolkit: - Expert-level Python skills with a focus on "building." You should be comfortable writing clean, modular code that interfaces with complex APIs and databases. - Publication Record: - History of contributions to top-tier ML conferences (NeurIPS, ICML, ICLR). - Technical Foundation: - PhD in Computer Science, Machine Learning, or Applied Mathematics (or equivalent high-level industry experience). - Communication: - Ability to explain complex agent behaviors to both AI peers and biological experts. Excellent written and oral communication skills. Fluent in English (French is a plus). - Team first, highly collaborative mindset. Requirements - Preferred Qualifications (The "Big Plus"): - Computational Biology or Chemistry expertise. - Domain Knowledge: Deep understanding of the "central dogma" data stack—from processing raw sequencing (omics) to interpreting the physics and geometry of macromolecular structures. - Closed-loop Discovery: Experience in Active Learning, Bayesian Optimization, or Optimal Experimental Design. - Systems Engineering: Experience training and deploying large-scale models or managing complex multi-agent orchestrations. - Causal Inference: Experience in understanding "response to treatment" or causal discovery in biological systems. - Industry Impact: Proven track record of taking a research concept and turning it into a functional tool used by other scientists. Benefits - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English This position is remote and based in the UK or Germany. About the role: As a Senior AI Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data. This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack. If you love building and refining a dynamic product, this role is for you. Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members. In particular, you will: - Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists. - Design, build, and maintain scalable, reliable AI systems. - Drive technical decisions and provide context-aware solutions for AI systems in biological research. - Leverage and pioneer evaluation methodologies to ensure continuous product improvement. - Experiment with cutting-edge industry solutions—orchestration patterns, fine-tuning, specialized monitoring, feedback loops, etc. - Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance. - Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing. About you - You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery. - Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds. - Clear and effective communicator who can translate technical complexity into actionable decisions for the team. - Proven track record leading software development at scale in production environments. - Deep understanding of system architecture, infrastructure design, and building resilient distributed systems. - Extensive experience with production environments: continuous deployment, high availability, observability, and security. - Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to evaluating their performance in real-world workflows. - Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work. - Fluent English, both written and spoken. - Stack: Python, Kubernetes, AWS #LI-MD1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. This position is remote and based in the UK , Germany or France. Please submit your CV in English About the role: We are seeking exceptional Junior Forward Deployed Engineers to work at the intersection of AI, software systems, and biology. In this role, you will partner directly with leading pharmaceutical and biotechnology companies to solve high-impact problems by designing, building, and deploying production-grade solutions on top of our agentic AI platform, Owkin K. This is a deeply hands-on engineering role: you will write code, build integrations, design system architectures, and rapidly prototype new capabilities that bring advanced AI into real scientific workflows. A significant portion of this work will be conducted at the customer’s premises. You will collaborate with internal domain experts to design and deliver together on the client expectations. You will also help shape the roadmap of our product by distilling insights from the field back into the platform. This is an opportunity to grow rapidly in a dynamic environment, learning from experienced team members with diverse, interdisciplinary backgrounds, while contributing to turning frontier research work into reliable, deployable solutions. You will operate across three core dimensions: - Build real systems: Design, implement, and deploy production-grade AI systems on top of Owkin K with senior engineers. You will write code, build integrations, design data pipelines and APIs, and turn ambiguous problems into reliable software used in critical scientific and operational workflows. - Solve problems with users: Work directly with engineers, data scientists, biologists and clinicians from our customers: leading pharma and biotech companies, as well as within Owkin. You will translate ambiguous scientific and operational challenges into concrete software solutions, rapidly prototyping, iterating with users, and delivering results that have measurable impact. - Deploy in the real world: Integrate solutions into large, complex, and regulated organizations. You will work with diverse datasets, existing systems, and multiple stakeholders to ensure that the tools you build are reliable, scalable, and actively used in production. In particular, you will: - Support customer engagements alongside more senior team members, progressively taking on more ownership with external customers to solve high-leverage problems by customizing and extending Owkin’s agentic platform K; - Design, build, and deploy tailored solutions on top of Owkin K, guiding them from conception through final delivery; - Contribute to rapid prototyping and iteration to validate solutions early and frequently; - Balance scope, speed, and quality, adapting plans to ensure successful delivery; - Communicate clearly across technical and non-technical stakeholders to align expectations; - Collaborate with Customer Success Managers, Domain Experts, Product and Engineering teams to guarantee effective delivery, client satisfaction, and sustained adoption of Owkin’s product; - Turn proven patterns into reusable, scalable components, tools, and playbooks; - Share feedback from the field to help shape the roadmap. About you Above all, we seek curious individuals who are driven to learn through hands-on experience and who embrace a strong bias for action. In addition to this, the following skills are required: - 2+ year of experience as a software engineer, with a focus on backend systems - Fluent in Python and modern engineering tools and coding co-pilots: write clean, production-grade code, design scalable systems, and contribute to code reviews and technical design discussions - Experience working with LLMs and agentic AI frameworks; - Ability to simplify complexity and make fast, sound decisions under time pressure; - Communicate effectively across diverse audiences: technical teams, product managers and non-technical stakeholders. Adapt language and detail to ensure clarity and alignment; - Thrive in fast-evolving environments by staying flexible, embracing ambiguity, and proactively driving progress despite incomplete information. Candidates not meeting all criteria, but who can demonstrate exceptional skill in key areas, are invited to apply. Bonus skills/experience: - Proven experience building and deploying on cloud platforms - Understanding of the drug development pipeline and related scientific workflows. - Full stack experience - Familiarity with biostatistics, computational biology, or medical imaging #LI-MD1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. This position is remote and based in the UK, Germany or France. Please submit your CV in English About the role: We are seeking exceptional Senior Forward Deployed Engineers to work at the intersection of AI, software systems, and biology. In this role, you will partner directly with leading pharmaceutical and biotechnology companies to solve high-impact problems by designing, building, and deploying production-grade solutions on top of our agentic AI platform, Owkin K. This is a deeply hands-on engineering role: you will write code, build integrations, design system architectures, and rapidly prototype new capabilities that bring advanced AI into real scientific workflows. A significant portion of this work will be conducted at the customer’s premises. You will collaborate with internal domain experts to design and deliver together on the client expectations. You will also help shape the roadmap of our product by distilling insights from the field back into the platform. This is an opportunity to set the standard for how the team operates, and contribute to the growth of more junior engineers. in a dynamic environment, all while learning from experienced team members with diverse, interdisciplinary backgrounds, and contributing to turning frontier research work into reliable, deployable solutions. You will operate across three core dimensions: - Build real systems: Design, implement, and deploy production-grade AI systems on top of Owkin K. You will write code, build integrations, design data pipelines and APIs, and turn ambiguous problems into reliable software used in critical scientific and operational workflows. - Solve problems with users: Work directly with engineers, data scientists, biologists and clinicians from our customers: leading pharma and biotech companies, as well as within Owkin. You will translate ambiguous scientific and operational challenges into concrete software solutions, rapidly prototyping, iterating with users, and delivering results that have measurable impact. - Deploy in the real world: Integrate solutions into large, complex, and regulated organizations. You will work with diverse datasets, existing systems, and multiple stakeholders to ensure that the tools you build are reliable, scalable, and actively used in production. In particular, you will: - Embed deeply with external customers to solve high-leverage problems by customizing and extending Owkin’s agentic platform K; - Design, build, and deploy tailored solutions on top of Owkin K, guiding them from conception through final delivery; - Drive rapid prototyping and iteration to validate solutions early and frequently; - Balance scope, speed, and quality, adapting plans to ensure successful delivery; - Act as a technical cornerstone for the team, championing best practices, setting high engineering standards, helping others grow and mentor more junior FDEs; - Communicate clearly across technical and non-technical stakeholders to align expectations; - Collaborate with Customer Success Managers, Domain Experts, Product and Engineering teams to guarantee effective delivery, client satisfaction, and sustained adoption of Owkin’s product; - Turn proven patterns into reusable, scalable components, tools, and playbooks; - Bridge the gap between field realities and product strategy - bringing structured, actionable insight feedback that drives roadmap direction About you Above all, we seek curious individuals who are driven to learn through hands-on experience and who embrace a strong bias for action. In addition to this, the following skills are required: - Strong engineering background: 5+ years of experience as a software engineer, with a focus on backend systems - Fluent in Python and modern engineering tools and coding co-pilots: write clean, production-grade code, drive architectural decisions, lead technical design discussions - Proven track record leading software development at scale in production - Experience working with LLMs and agentic AI frameworks; - Ability to simplify complexity and make fast, sound decisions under time pressure; - Communicate effectively across diverse audiences: technical teams, product managers and non-technical stakeholders. Adapt language and detail to ensure clarity and alignment; - Thrive in fast-evolving environments by staying flexible, embracing ambiguity, and proactively driving progress despite incomplete information. Candidates not meeting all criteria, but who can demonstrate exceptional skill in key areas, are invited to apply. Bonus skills/experience: - Proven experience building and deploying on cloud platforms - Understanding of the drug development pipeline and related scientific workflows. - Full stack experience - Familiarity with biostatistics, computational biology, or medical imaging #LI-MD1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. This position is remote and based in the UK or Germany. Please submit your CV in English About the role: You will be part of the Engineering team. This role involves designing, building, and optimizing scalable ETL/ELT pipelines with Airflow to process complex datasets efficiently while ensuring reliability and performance. You will organize and structure data systems, aligning them with business objectives, and demonstrate expertise in scientific and healthcare information systems to deliver data products tailored for machine learning and AI research. Clear reporting and meticulous attention to detail are essential, as is the ability to manage high-volume, complex workstreams while prioritizing multiple deadlines. The role requires professional interpersonal skills to collaborate with diverse stakeholders in biotechnology and the ability to streamline production workflows for scientific processing and quality assurance. - Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goalsOptimize data pipelines for performance, reliability, and scalability - Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets - Demonstrate ability to delivery of of data products useful for machine learning and AI research and development (data models, metadata and semantics) - Strong organizational skills to effectively manage high-volume, complex workstreams while prioritizing multiple deadline - Demonstrate knowledge of scientific and healthcare information systems and data sources and relevant software tools - Demonstrate ability to handle a variety of activities across operational delivery and development and initiatives - Demonstrate professional interpersonal skills with ability to work both independently and collaboratively with a variety of stakeholders on complex biotechnology areas. - Streamline the process of taking scientific processing and quality check in production, ensuring proper monitoring of the production workflows. In particular, you will: - Design and optimizing data pipelines using Airflow - Develop robust solutions in Python and SQL - Design, develop, and operate scalable ETL/ELT pipelines to process and transform datasets. - Work with cross-functional teams, including data scientists, business developers, software engineers and bio medical researchers to deliver high-quality data solutions. - Manage and monitor containerized data infrastructures with Docker and Kubernetes and other cloud platforms. - Implement and enforce best practices for data governance, security, and compliance. - Build, optimize and maintain data architectures, including data lakes, data warehouses, and analytical Insights - Productionize the data processing pipelines, setting and enforcing standards and best practices across scientific teams to deliver high quality data in an efficient and scalable way. About you Required qualifications / experience: - Master degree in computer sciences or specialization in Data - Significant experience (5+ years) as a Data Engineer and have good knowledge of DataOps practices. - Experience in Python and SQL and you have familiarity with R - Experience in architectural design of complex data platforms - Proficient in the technologies like Airflow, AWS steps functions, PostgreSQL, Docker, Kubernetes, Grafana, Infrastructure as Code - Autonomous, meticulous, and enjoy teamwork - Software development with a focus on code quality, simplicity, maintainability - Experience in designing data architecture and building data products - Experience handling sensitive personal information - Fluent in English Preferred qualifications/bonus: - Knowledge in healthcare or biology areas - Data quality tools: Great expectation, pydantic, pandera, SQLMesh etc, - Debugging & Refactoring skills #LI-MD1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. This position is remote and based in the UK or Germany. Please submit your CV in English About the role: This is a critical role at the intersection of advanced AI and high-stakes biology. You will be instrumental in building the core agentic technology that powers Owkin’s Data Transformation Agent (DTA), directly enabling the creation of "ML-ready" multimodal datasets. You will be given the autonomy to drive the technical direction of your projects, choosing the best tools and development path to accomplish your mission. You will be joining a highly skilled, international team with a passion for both cutting-edge technology and scientific discovery. In particular, you will: - Lead Agent Development: Drive the development of Owkin’s Data Transformation Agent (DTA) and actively contribute to the core components and agents of our platform, "K-Pro." - Orchestrate Data Workflows: Design, implement, and maintain complex data transformation workflows, leveraging tools like Apache Airflow for robust and scalable orchestration. - Deployment and Integration: Manage the seamless integration and deployment of the DTA within Owkin's broader Data Platform infrastructure. - Ensure Code Excellence: Define and enforce robust engineering practices, including Test-Driven Development (TDD), defining best practices for deployment, QA, and maintaining infrastructure, and performing code reviews to ensure high standards. - Technical Leadership: Guide key technical choices and tradeoffs, plan the development goals and milestones for software packages, and focus on performance optimization. - Stakeholder Collaboration: Interface directly with internal customers and research engineers to gather requirements and efficiently resolve implementation bottlenecks. About you Required qualifications / experience: - 3+ years of industry experience in a similar role, with a BS in software engineering, computer science, applied mathematics, or an associated field. - Deep Python expertise and familiarity with other programming languages. - Strong knowledge of LLMs and Agentic Systems principles, or a demonstrable ability and interest in rapidly acquiring this expertise to build multi-agent software. - Experience with multi-omics data (e.g., genomics, proteomics, imaging) or other complex multimodal datasets, including preprocessing and transformation. - Expertise in documentation, specification, robust testing, continuous deployment, and code optimization. - Familiarity with Agile/Scrum development methodologies. - Solid understanding of software architecture concepts. - Knowledge of cloud computing services (GCP, AWS, Azure) and container-based deployments (Docker, Kubernetes). - Development experience in Linux/Unix-like environments. Preferred qualifications/bonus skills: - Direct experience with data orchestration tools such as Apache Airflow. - Experience working with spatial transcriptomics data. - Knowledge of different technologies for distributed computing, databases, and serialization. - Experience with deep learning frameworks (Tensorflow, PyTorch, etc.). - Knowledge of applied mathematics concepts (signal & image processing, statistics, etc.). - Contributions to OSS projects. - Contribution to publications at machine learning conferences and journals (NeurIPS, ICML, ICLR, etc.). #LI-MD1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English About the role: We are seeking a detail-oriented and curious Bioinformatics Pipeline Developer to join our team. In this role, you will be at the intersection of biology and big data, helping to build and maintain the "highways" that process genomic, transcriptomic, clinical and other types of biological data. You won’t just be running scripts; you’ll be optimizing how we integrate diverse biological layers - from DNA sequencing to single-cell RNA-seq - to uncover clinical insights. In particular, you will: - Build, test, benchmark, maintain and update automated workflows (AirFlow or Snakemake) for processing sequencing (WES/WGS, bulk and single-cell RNAseq, spatial transcriptomics) and other clinical, imaging and molecular data types. - Implement strategies to ensure data quality, consistency and interoperability. - Calculate, implement, benchmark and integrate biological information and scores based on biomedical scientist’s input. - Maintain clear, version-controlled codebases (GitHub) and technical documentation. About you Required Skills & Qualifications - A relevant education in bioinformatics, computational biology, computer science, or a related field (Bachelor, Master or PhD), with proven experience gained in industry or academia. - Proficiency in Python. - Experience of developing bioinformatic pipelines. - Experience working in cloud environments. - Familiarity with orchestration tools and frameworks - Experience with NGS tools such as variant calling and RNAseq analysis. - Basic understanding of biological processes such as NGS library preparation (e.g., Illumina, RNA-seq) and the biological differences between tissue types (e.g., enterocytes vs. colonocytes). - Comfortable using Git for collaborative development. Nice-to-Haves - Proficiency in R. - Experience with Docker or Singularity containers. - Familiarity with single-cell/spatial transcriptomic analysis (Scanpy). - Knowledge of oncology-specific databases (TCGA, gnomAD, COSMIC). Reference: #LI-HB1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/