
Anima · London
I quit medicine because I kept watching patients die needlessly, for avoidable reasons. In almost every case, the science and the clinicians were fine. It was t...
I quit medicine because I kept watching patients die needlessly, for avoidable reasons. In almost every case, the science and the
clinicians were fine. It was the system around them that failed: the way information moved, the way decisions got routed, and the
way fragmented teams and fragmented data turned solvable problems into tragedy.
Our mission is human wellbeing, and we're focusing on the breakthrough technology of personalised medicine. Since the beginning,
our proprietary insight has always been that the company to create a true active learning data engine with a loss function against
human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world as a result.
We're now in 1,100+ clinics, across 4 product lines, serve >20% of the UK population, and have solved >5.7 million patient cases
in the past 12 months alone, saving an estimated 8,600 lives. We are cash flow positive, growing fast, and have a tight crew of
~35 people.
Multiple trillion-dollar companies will be built in healthcare over the next two decades, and we intend to be one of them.
We have a knights of the round table culture with a flat hierarchy, where we empower builders to have outsized impact on millions
of lives, and where we collaboratively converge on the optimal action without dogma or ego. We're all here to serve a greater
mission than ourselves. The closest analogy for our culture is probably Firefly (the TV series): a small crew on a ship at the
frontier, each person exceptional in a specific way, deeply loyal to each other and the mission, resourceful under constraints,
and having a genuinely good time doing something that matters. We're carefully curated, lean, and wholeheartedly in.
If you want your skills to be at the highest possible stakes, you belong at Anima. Your work here will save lives.
Do you want to build a product that will save lives?
Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world,
pre-ChatGPT, largely ignored.
Our trajectory has been unwavering since our YC application: achieving the "holy grail" of personalized medicine and deep
phenotyping. This is powered by our proprietary active learning architecture - a system we codified in a 2021 patent that
anticipated the Sparse Mixture of Experts (MoE) and active learning loops now foundational to modern LLMs.
While others are just arriving at the party, we’ve spent years executing a plan to build what is now one of the world’s largest,
highest-quality labeled datasets. As a Clinical Engineer, you'll use your medical training to solve novel technical problems that
will save lives.
We’re looking for someone who
What to expect in the role
YC-backed Embark Trucks, the first self-driving vehicle on Canadian roads. Or Souradip, who built an acoustic fall detector
using on-device deep learning; he’s also an MB/PhD from Cambridge who’s published in top medical journals.
per organisation and a real time single source of truth for patient data in 4 weeks. Or Dennis who built and shipped a
lightning fast cloud document library for clinics in a few days with <100ms traversals through preloading.
zero ops.
tools for the job. We’re constantly looking to maximise our productivity and minimise what we call “discounted dev time cost”
for shipping features.
Our current stack
We have 2 separate fully functional web apps in prod: one for clinical users and one for patients. Angular, React and Electron,
Mixpanel/Posthog for analytics, a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good
functional & unit test coverage and CI/CD.
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. THE ROLE: The Systems Engineering function at CoMind sits at the intersection of hardware, software, and clinical domains, responsible for defining and managing requirements and driving system-level architecture decisions, supporting product risk management activities and informing product integration and verification campaigns. As a member of the System and Product Assurance team the Senior System Engineer role reports into the Systems and V+V Manager. As the Systems Engineer, you will own requirements management, system-level design, and integration activities for CoMind’s device. Working closely with product management and across hardware, software, optical, and regulatory functions you will ensure the system performs as intended in its clinical use environment. You will define and maintain the system architecture and requirements baselines, drive V&V planning and execution, and act as a technical integrator across the engineering team. The role will work closely with the product Risk Manager to ensure close integration of risk management activities with system design and integration. At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role can be based in either our London (Kings Cross) or Bristol office. RESPONSIBILITIES: * Define, manage, and maintain the system-level requirements baseline, ensuring traceability from design inputs through to subsystem specifications and test evidence * Own system-level architecture documentation, capturing interfaces, design choices, and performance allocations across hardware, software, and optical subsystems * Drive system integration activities, defining integration sequences, resolving cross-subsystem interface conflicts, and ensuring all interfaces are correctly specified and verified * Lead V&V planning and execution at the system level, working with subsystem teams to ensure test coverage is complete and regulatory evidence is generated to the required standard * Support design risk management activities under ISO 14971, including system-level hazard analysis, FMEA, and risk control verification * Maintain and develop systems engineering processes and tooling, including requirements management platforms, design review structures, and traceability practices * Represent the system architecture in cross-functional forums, supporting regulatory submissions and design history file activities * AI is fundamental to our culture — it’s not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively SKILLS & EXPERIENCE * 5+ years of experience in systems engineering, with a track record of owning requirements management and system integration on complex, multi-domain products * Experience with medical devices or other regulated industries, with working knowledge of IEC 60601-1, ISO 14971, ISO 13485, and design control processes * Proficiency with requirements management tooling (DOORS, Jama, Polarion, or similar) and familiarity with model-based systems engineering approaches * Demonstrated ability to manage and resolve cross-subsystem interface conflicts and drive system-level integration in a multi-disciplinary engineering environment * Experience supporting V&V planning and execution at the system level, including generating and reviewing test protocols and reports to regulatory standards * Strong written and verbal communication skills, with the ability to translate complex system-level decisions for clinical, regulatory, and executive stakeholders NICE TO HAVE * Background in photonics, optical sensing, or biomedical hardware systems * Familiarity with IEC 62304 and the interface between hardware and software systems engineering * Experience supporting FDA regulatory submissions, including design history files and 510(k) preparation * Exposure to clinical trial environments and the interface between engineering and clinical teams BENEFITS: * Company equity plan so all employees share in the success of the company * Salary-sacrifice pension scheme * Private medical, dental and vision insurance (medical history disregarded) * Group life assurance at 4x annual income * Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals * Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter * Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later * Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks * YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores DISCLAIMER - We use AI notetaking tools to transcribe interviews for internal review. 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ABOUT DELFA Billions of people still suffer from every-day diseases. One key reason? Clinical trials are broken. Despite $120 billion spent each year, most trials are delayed due to bottlenecks like patient recruitment. Delfa is fixing this with autonomous AI agents. We're building AI agents to automate clinical trials. In less than a year from launch we’ve already: * Deployed onto 300+ trials across multiple conditions * Reached seven figures in ARR, growing 25% MoM * Raised an oversubscribed $3.8m seed from tier-one AI investors WHAT YOU'LL DO You'll build and scale the core systems that enable Delfa's AI agents to deliver real-world clinical impact. * Design, build, and scale AI agent systems end-to-end: from voice interactions to intelligent workflow orchestration across trial sites * Own complex projects from architecture to deployment, with real autonomy over technical decisions * Build and evolve the infrastructure, observability, and monitoring systems needed to ensure quality and reliability at scale * Integrate leading-edge models from AI labs into production workflows, evaluating and adopting new capabilities as the frontier moves * Design robust data pipelines for ingesting, transforming, and serving high-quality healthcare data * Continuously improve internal AI tooling and platform to unlock new use cases and increase team velocity Our current tech stack: FastAPI · Pydantic · TypeScript · React · OpenAI / Anthropic · Temporal · PostgreSQL · Honeycomb · PlanetScale · Azure YOU'LL BE A GREAT FIT IF… * You have 3+ years of professional full-stack engineering experience: We're looking for somebody comfortable with solving hard technical problems, refactoring when needed, and knowing what's enough and what's too much to solve a problem. * A track record of building high-quality products fast: Delfa's got big ambitions to materially accelerate getting life saving treatments to market. This is necessary and urgent work so we need individuals who can deliver. * An ownership mindset: We position our team to understand customer problems, give you the autonomy to find the best path forward, and expect you to own the solutions. * A growth mindset: We're looking for people who take pride in their work and are always looking to improve it. If your work doesn't matter to you, it won't end up mattering to our customers. If you're not growing, your impact won't grow either. LIFE AT DELFA Delfa is building a generational company to transform the way medications reach millions of patients in need. This is your opportunity to get in on the ground floor and work alongside the highest talent density team in the space, onsite at our London office 5 days a week: * A wine-snob who built foundation models at Roche at ETH Zurich * A former hedge fund trader with world class causal AI knowledge * A medical doctor turned AI engineer who builds prototypes on the weekend for fun * A ginger bloke who deployed production AI for J&J, Medtronic, and Exscientia WHAT WE OFFER * Competitive salary + meaningful equity * Private health insurance and gym membership * 25 days’ holiday + UK public holidays * Modern office space 5 mins from Old Street station * True 0 → 1 ownership. You’ll take full responsibility for critical product features that get new treatments to patients, faster. OUR HIRING PROCESS We work to get you an offer within a week with the following lean process: 1. Intro chat with Gustav (CTO) - 30 mins: An informal discussion about your experiences, values, and career goals, and give you an opportunity to get a sense of the role and the team. After this call we may ask you to share some work you’re proud of. 2. Coding Challenge - 90 mins: No artificial interview questions. Instead, you will work through a real-world challenge similar to problems we solve every day. You are welcome to use AI tools. We believe great engineers should know how to solve problems effectively, including with AI. 3. System Design Challenge - 90 mins: We will invite you to our office to spend time with us in person. Together, we will work through a real-world system design problem. This is the best opportunity for you to see what it would be like to work with us, and for us to understand how you think and collaborate. 4. Offer. If all the above goes well then you’ll receive an offer from us! If helping unstick clinical trials and getting life-saving treatments to patients faster sounds like your idea of important work, let’s talk.
About us: Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes. We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making. Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence. We are looking for a highly proactive, technically curious GTM Engineer/RevOps Manager to help us build and evolve a modern, AI-native go-to-market engine at Causaly. This is not a traditional RevOps role. We are not looking for someone to “run HubSpot” or maintain existing processes. Instead, we want a builder: someone who moves fast, experiments, automates aggressively, and is excited to wire together tools, data, and workflows that directly support revenue teams. HubSpot will be your starting point, but not your end state. Over time, this role will extend across enrichment, outbound automation, AI tooling, and the broader GTM technology stack. This role is ideal for someone highly analytical who is hungry to learn, comfortable with ambiguity, and motivated by shipping improvements quickly rather than designing perfect systems upfront. What You Will Do: Build and Own GTM Systems * Own HubSpot as our core GTM system, including pipelines, properties, workflows, routing, sequences, and reporting. * Improve data quality and reliability through automation, validation, and enrichment. * Continuously simplify and refactor GTM processes as the business scales. Design Automation and Run AI-native Systems * Design and implement event-based and trigger-based workflows (e.g. funding events, org changes, intent signals). * Build and iterate on enrichment and outbound workflows using tools such as Clay and similar platforms. * Reduce manual work across Sales, Marketing, and CS through aggressive automation. Own Data Flows and Visibility * Own data flow and synchronisation across the GTM stack, ensuring systems stay aligned and reliable. * Build dashboards and monitoring to surface pipeline health, activity, and data quality issues. * Proactively identify and fix breakpoints in GTM workflows before they impact teams. Operate with Speed and Ownership * Identify GTM friction points and fix them without waiting for perfect requirements. * Move quickly from idea to implementation, prioritising velocity and impact over perfection. * Take full ownership of outcomes, not just inputs. Partner with GTM Teams * Work closely with Sales (including the SVP of Sales), Marketing, and Customer Success to understand real commercial needs. * Translate GTM problems into technical solutions and ship improvements quickly. * Document systems and workflows so they scale beyond the individual. What We Are Looking For: This role prioritises mindset and execution ability over seniority. You are likely a strong fit if you: * Have 3-7 years of experience in RevOps, Sales Ops, Marketing Ops, Growth Ops, Business Systems, or a similar role. * Are hands-on with HubSpot (or another CRM) and enjoy building workflows and automation. * Are technically curious and comfortable learning new tools quickly. * Have experience wiring systems together using APIs, webhooks, or no/low-code tools (Zapier, Make, n8n, Workato, etc.). * Move fast, ship work, and learn by doing. * Are comfortable operating in ambiguity and do not need everything clearly defined upfront. * Take initiative naturally and do not wait to be told what to do next. Nice to Have (Not Required) * Experience with enrichment or outbound tools (Clay, Clearbit, ZoomInfo, Apollo, etc.). * Comfort working with CSVs, basic scripting, or data transformations. * Interest in AI-driven workflows and automation applied to GTM. * Exposure to B2B SaaS or complex GTM environments * Experience Storytelling - taking reports and data to share insights, signals and trends with the cross functional GTM, Marketing and Product teams. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.