At a Glance
- Tasks: Lead application security for cutting-edge AI-enabled data platforms and ensure robust protection against threats.
- Company: Innovative TechBio company focused on genomics and health data.
- Benefits: Competitive salary, 25 days leave, hybrid work, and comprehensive health insurance.
- Other info: Join a supportive culture with clear career progression and inclusive policies.
- Why this job: Make a real impact in healthcare by securing sensitive genomic data.
- Qualifications: Experience in application security and production-quality software engineering.
The predicted salary is between 72000 - 88000 £ per year.
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.
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.
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.
- 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.
- 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.
- 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.
- 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. Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.
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.
Applications Security Engineer in Oxford employer: Genomics
At Genomics, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With competitive salaries, clear career progression paths, and a commitment to continuous learning, our employees thrive in a supportive environment that prioritises their wellbeing. Located in vibrant cities like Oxford and London, we provide flexible working options and unique benefits such as enhanced family leave and a 'Bank Your Bank Holiday' programme, ensuring that our team members can balance their professional and personal lives effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Applications Security Engineer in Oxford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Genomics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Genomics.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Genomics.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Genomics that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applications Security Engineer in Oxford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Genomics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Genomics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Genomics
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Genomics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.