Research Scientist/Engineer, Biological and Chemical Models
Research Scientist/Engineer, Biological and Chemical Models

Research Scientist/Engineer, Biological and Chemical Models

London Full-Time 65000 - 145000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Evaluate and develop AI models for biological applications, focusing on security science.
  • Company: Join the AI Security Institute, a leading government team tackling AI risks and capabilities.
  • Benefits: Enjoy competitive salaries, allowances, and benefits with opportunities for remote work.
  • Why this job: Make a real impact in AI safety while working in a dynamic, innovative environment.
  • Qualifications: Strong machine learning background, Python proficiency, and experience with biological AI models required.
  • Other info: This role requires DV clearance and is open to UK nationals only.

The predicted salary is between 65000 - 145000 £ per year.

Research Scientist/Engineer, Biological and Chemical Models Join to apply for the Research Scientist/Engineer, Biological and Chemical Models role at AI Security Institute . About The AI Security Institute The AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world. Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop risk mitigations, focusing on security implications such as AI-assisted chemical and biological weapons development, cyber-attacks, crimes, and control loss. The risks from AI are urgent. We combine startup agility with government expertise to prevent AI harms and realize its potential. Role Overview We seek an experienced Research Scientist/Engineer specializing in AI/ML applied to biology/chemistry. You will be part of the Chem-Bio work stream, advancing security science of AI models in biology and chemistry, informing policy, and evaluating frontier biological models through evaluation, benchmarks, and safeguards. This technical role requires a strong machine learning background and experience in scientific research. The position reports to the Chem-Bio workstream lead. This role requires Developed Vetting (DV) clearance, and employment is conditional on maintaining this clearance. It is a UK nationals-only post. Responsibilities Evaluate state-of-the-art machine learning models for biological applications. Deploy and assess frontier models aligned with research objectives. Develop code to evaluate capabilities in protein design, structure prediction, and biological models. Address AI and biosecurity research questions and communicate findings to support government efforts. Person Specification We encourage applications even if you meet only some criteria. Essential Criteria Background in machine learning with experience training, tuning, or evaluating models using PyTorch or similar. Experience with biological AI models such as protein or genomic models, structure prediction (AlphaFold), or protein design models (RFDiffusion). Proficiency in Python coding. Desirable Criteria Background in computational biology, understanding omics data, and building predictive models. Strong biology or chemistry knowledge, especially protein biochemistry and validation assays. Research experience and motivation to follow best practices at AI and biosecurity intersection. Experience writing scalable, robust production-level Python code. Experience working in small, multidisciplinary teams and communicating technical work to diverse audiences. Security and Clearance This role requires DV clearance, primarily available to UK nationals. Further details on security vetting are available on the UK Government website. Salary & Benefits We offer a range of seniority levels, with salaries from £65,000 to £145,000, including base salary, allowances, and benefits. Specific salary details are provided in the original description. #J-18808-Ljbffr

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Contact Detail:

AI Security Institute Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Scientist/Engineer, Biological and Chemical Models

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and machine learning, particularly in biological and chemical applications. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.

✨Tip Number 2

Network with professionals in the field of AI and biosecurity. Attend relevant conferences or webinars where you can meet experts and learn about current challenges and innovations. This could provide valuable insights and connections that may benefit your application.

✨Tip Number 3

Prepare to discuss specific projects or experiences where you've applied machine learning to biological models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your practical knowledge and problem-solving skills.

✨Tip Number 4

Research the AI Security Institute's mission and recent projects. Understanding their goals and how your expertise aligns with their work will help you articulate why you're a great fit for the team during interviews.

We think you need these skills to ace Research Scientist/Engineer, Biological and Chemical Models

Machine Learning Expertise
Proficiency in PyTorch
Experience with Biological AI Models
Protein Design Knowledge
Structure Prediction Skills
Proficiency in Python Coding
Understanding of Omics Data
Predictive Modelling Skills
Strong Knowledge of Protein Biochemistry
Research Methodology
Communication Skills for Diverse Audiences
Experience in Multidisciplinary Teams
Best Practices in AI and Biosecurity
Ability to Develop Scalable Python Code

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in machine learning, particularly with PyTorch or similar frameworks. Include specific projects related to biological AI models, such as protein design or structure prediction.

Craft a Strong Cover Letter: In your cover letter, express your passion for AI and biosecurity. Discuss how your background aligns with the responsibilities of the role and mention any relevant research experiences that demonstrate your expertise.

Highlight Relevant Skills: Clearly outline your proficiency in Python coding and any experience you have with computational biology. Mention your ability to communicate complex technical concepts to diverse audiences, as this is crucial for the role.

Showcase Your Research Experience: Detail your research experience in your application, focusing on any work related to AI applications in biology or chemistry. Highlight any publications or presentations that showcase your contributions to the field.

How to prepare for a job interview at AI Security Institute

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning models, particularly in the context of biology and chemistry. Highlight specific projects where you've used PyTorch or similar frameworks, and be ready to explain your approach to training and evaluating these models.

✨Demonstrate Your Research Experience

Since this role involves evaluating frontier biological models, share examples of your research work. Discuss any relevant publications or projects that showcase your ability to address AI and biosecurity questions, as well as your understanding of protein design and structure prediction.

✨Communicate Clearly

You’ll need to communicate complex technical concepts to diverse audiences. Practice explaining your work in simple terms, focusing on the implications of your findings for government efforts in AI safety and biosecurity.

✨Understand the Role's Security Requirements

Familiarise yourself with the Developed Vetting (DV) clearance process, as this is a requirement for the position. Be ready to discuss your understanding of security protocols and how you would maintain compliance in your work.

Research Scientist/Engineer, Biological and Chemical Models
AI Security Institute
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