Location: Oxford or London (Hybrid)
The Mission: Why We Exist
Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer, healthier lives, using the power of genomics.
Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.
Role Purpose
Genomic data is some of the most sensitive data there is, and our customers trust us with it. As Senior Application Security Engineer on Mystra, you'll own application security end-to-end across multi-tenant, trillion-row-scale, AI-enabled data platforms.
You'll lead threat modelling and design review with product teams, build the tooling and patterns that make secure codet, and find and fix the vulnerabilities that slip through. You'll do it with security-focused AI tooling, steered by your own expert judgement and intuition, to keep Genomics secure against state-of-the-art threats.
A Day in the Life
Leading threat modelling and design reviews for new products and infrastructure, and defining the security invariants every team builds against: tenant isolation, authentication and authorisation, secrets, least privilege, and trust boundaries
Building the libraries, patterns, and CI/CD guardrails that make the secure way the easy way, and deciding what is enforced versus advised
Building and tuning AI tooling for code analysis, triage, and remediation, and deciding where its output can be trusted and where it must be verified
Hunting for vulnerabilities through code review, testing, and proof-of-concept exploits, then running the disclosure programme and driving every finding through to a verified fix
Securing our agentic and AI surfaces, from prompt injection and tool boundaries to delegated credentials and tenant-scoped access, and proving the controls hold under adversarial testing
Working as an embedded, trusted partner to product teams, SRE, detection and response, the data platform team, and the MystraAI / ML team, unblocking rather than gating
Who You Are
Experience within application security in production. You've found and fixed exploitable bugs in software you were responsible for, through threat modelling, secure design, code review, and proof-of-concept exploitation across web services, APIs, and data-serving interfaces. Triaging scanner output doesn't count
Production-quality software engineering in at least one mainstream language (such as Python, Go, or TypeScript), and you can read several. You've built and operated security or developer tooling in CI/CD pipelines, such as static and dependency analysis, secrets detection, or policy-as-code, and engineers actually adopted it
Hands-on depth securing multi-tenant systems on a major cloud. We run on AWS (RDS, EC2, S3, EKS, Batch), and comparable GCP or Azure depth transfers. You know tenant isolation, IAM and least privilege, secrets management, Kubernetes and container security, and the trust boundaries between services
Daily use of frontier AI models for code analysis, vulnerability triage, remediation drafting, and research, with sharp judgement about where they're reliable and where they mislead. You've built or tuned LLM-driven tooling rather than only used a chat interface, and you understand the attack surface it introduces
Experience running, or being core to, a vulnerability disclosure or bug bounty programme and the remediation lifecycle behind it, covering severity, prioritisation, SLAs, root cause, and systemic fixes. You've also worked application-layer incidents alongside detection and response, using security telemetry and SIEM data as evidence
Risk-led judgement. You know which designs need deep review, which findings matter and which are noise, and you make accepted risk explicit so leadership can decide with open eyes
Clear communication. You explain risk and trade-offs precisely to engineers, product, and leadership, write guidance people actually use, and mentor others to grow security capability across teams
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Compensation & Growth
Competitive Reward: Salaries are externally benchmarked annually to ensure market-aligned compensation.
Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.
Wellbeing & Time Off
Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.
Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
Enhanced Leave: Enhanced paid family leave to support all new parents.
Work Environment & Culture
Hybrid Working
Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.
Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.
Ready to Build the Future?
If this opportunity excites you, apply now!
We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.
Skills Required
- Production application security experience, including threat modeling, secure design, code review, and proof-of-concept exploitation across web services, APIs, and data-serving interfaces
- Production-quality software engineering experience in at least one mainstream language such as Python, Go, or TypeScript, with ability to read several languages
- Experience building and operating security or developer tooling in CI/CD pipelines, including static analysis, dependency analysis, secrets detection, or policy-as-code
- Hands-on experience securing multi-tenant systems on a major cloud platform, preferably AWS or equivalent GCP/Azure experience
- Knowledge of tenant isolation, IAM, least privilege, secrets management, Kubernetes, container security, and service trust boundaries
- Experience using frontier AI models for code analysis, vulnerability triage, remediation drafting, and security research
- Experience building or tuning LLM-driven tooling and understanding its security attack surface
- Experience running or contributing substantially to a vulnerability disclosure or bug bounty program and remediation lifecycle
- Experience with vulnerability severity, prioritization, SLAs, root-cause analysis, and systemic remediation
- Experience working on application-layer incidents with detection and response teams using security telemetry and SIEM data
- Strong risk assessment, communication, writing, collaboration, and mentoring skills
What We Do
We are a pioneering healthcare company that aims to transform health through the power of genomics. The company was formed in 2014 by four world-leading statistical and human geneticists at the University of Oxford, including Professor Sir Peter Donnelly and Professor Gil McVean. We use large-scale genetic information to realise preventative medicine and improve drug discovery. We're a world-leader in genomic prevention: a paradigm-changing approach to sustainable healthcare which for the first time allows reliable, personalised estimates of risk for all the common diseases and cancers, well ahead of disease manifestation, allowing accurate and early interventions and tailored screening. Our proprietary algorithms and databases offer something no competitor can: the ability to accurately link minute variation across the entire genome to changes in thousands of biological measurements and disease outcomes, to generate population-level insights for healthcare systems, individual-level insights for clinicians about the risk of common diseases, and new understanding of disease processes. In August 2018, we announced a multi-year collaboration with Vertex to use human genetics and data science to advance discovery of precision medicines. We also have several pilot programmes in development within UK and US healthcare systems. Our team is a multi-disciplinary group focused on finding powerful and creative solutions for bringing subject-leading science to as wide an audience as possible, and, in doing so, offer the chance of transforming lives around the world. The workforce is highly qualified and consists of over 150 people, including genomic scientists, computational biologists, statisticians, software engineers, product developers, data scientists and commercial strategists. We are headquartered in Oxford, with offices in Cambridge (UK), London (UK), and Boston (US).









