Roche Next-Generation Sequencing (NGS) & Agentic AI Engineering Support Internship
Roche is hiring a Roche Next-Generation Sequencing (NGS) & Agentic AI Engineering Support Internship in Cape Town, South Africa. Level rates it ; you can apply on Roche.
Level's read on this job
- Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
- The posting mentions AI agents and AI evaluation among its tools and skills.
- Level classes it as an internship.
- Roche has 1,200+ other open roles on Level.
- Posted in the last few days.
AI in this role
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
Roche Next-Generation Sequencing (NGS) & Agentic AI Engineering Support Internship Program🧬
Are you eager to bridge biological science, molecular assay design and practical Artificial Intelligence tools to shape the future of genomics?
The Roche Diagnostics R&D teams in Cape Town are seeking a highly motivated and talented recent graduate to join our 12-month Internship program. Housed directly within the Sequencing Assay & Reagent Development function. You will apply your biological understanding to build and evaluate practical AI tools that assist scientists in reagent and assay development while supporting data-driven decision-making.
What You'll Do
As an intern in Sequencing Assay & Reagent Development, you will play a key role in bringing practical AI and data workflows into everyday assay design and laboratory research. Responsibilities include:
- Build AI Tools for Development: Develop and refine Python pipelines and LLM agent workflows that analyse dense technical specifications, scientific literature, and standard operating procedures (SOPs) for assay design.
- Verify Model Accuracy & Quality: Build automated verification checks to ensure AI model outputs strictly match real biological evidence, correct citations, and assay data attribution.
- Interrogate Technical Literature: Apply computational and bioinformatics tools to evaluate scientific documents, NGS assay criteria, and reagent performance requirements.
- Build & Refine Test Pipelines: Design structured prompts and automated verification tests to evaluate AI tool performance against real-world scientific examples.
- Bridge Science & Computing: Partner with Assay & Reagent Development scientists to understand their daily lab and design workflows, turning scientific requirements into practical AI utilities.
- Maintain Technical R&D Documentation: Document code architectures, testing outcomes, and failure-case analysis to support diagnostic product development. Keep meticulous lab records, analyse experimental data, and prepare clear, comprehensive reports to support project goals.
Who You Are
We're looking for recent graduates with a solid scientific foundation in biological or computational sciences with a strong interest and practical talent for AI tools and Python programming.
Required Qualifications:
- Education: Recently completed (within the last 2 years) an Honours or Master’s Degree (or equivalent) in Molecular Biology, Genetics, Genomics, Biochemistry, Computational Biology or Bioinformatics with experience applying Artificial Intelligence or Machine Learning, or closely related field.
- Biological Understanding: Foundational understanding of core molecular biology and assay principles (e.g., PCR/qPCR, nucleic acid chemistry, or sequencing concepts) to comprehend assay development workflows.
- Python Programming Strength: Proven ability to write Python code for data processing, script automation, or tool development.
- AI & LLM Enthusiasm: Hands-on experience or active projects working with AI tools, LLM APIs, or prompt development beyond basic introductory concepts.
Highly Desirable Experience:
- Assay / Reagent Development: Practical experience with NGS library preparation workflows, reagent chemistry, or enzyme kinetics.
- Bioinformatics Exposure: Practical experience with sequence alignment, bioinformatics databases, or computational biology tools.
- AI Agent Frameworks: Exposure to LLM evaluation methods, agent frameworks (e.g., custom Python agents), or structured output formats.
Key Skills:
- Excellent communication skills and a collaborative, team-oriented mindset.
- Strong analytical and troubleshooting abilities.
- Exceptional organizational skills and meticulous attention to detail.
What You'll Gain
This program is designed to be a powerful launchpad for your career bridging biotechnology and computational AI. You will receive:
- Hands-On Training: Work alongside experienced Bioinformatics scientists, gaining real-world training in Product Development and AI engineering.
- Cross-Functional R&D Exposure: Real-world insight into how computational utilities directly support wet-lab sequencing assay and reagent development.
- Applied AI Engineering Skills: Practical experience building reliable, verifiable AI tools for scientific literature and product design and development.
- Dedicated Mentorship: Receive personalised guidance and career advice from our senior scientists and specialists.
- A Clear Career Pathway: Build a unique competitive profile combining molecular biological skills with practical AI tool development experience.
Who We Are
Roche Diagnostics is a global leader in healthcare, dedicated to our purpose of Doing now what patients need next. At our Cape Town site, we play a pivotal role in this global mission, driving scientific innovation to create diagnostic solutions that improve health outcomes for all. Join a team that exemplifies a spirit of inclusivity, excellence, and collaboration.
Program Details
- Location: Cape Town, South Africa
- Duration: 12 Months
Ready to reshape the future of assay and reagent development with us?
Apply now by submitting your CV, academic transcript, and a brief cover letter highlighting your molecular biology experience.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
How we rate this
Roche Next-Generation Sequencing (NGS) & Agentic AI Engineering Support Internship at Roche rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $182k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI agents and AI Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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