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- Tasks: Develop and scale a target identification platform for scientific research.
- Company: Enigma recruits top ML talent for innovative AI-Tech startups.
- Benefits: Enjoy flexible work options and the chance to explore cutting-edge technologies.
- Why this job: Join a dynamic team where your coding skills meet impactful biological research.
- Qualifications: Strong Python skills, backend development experience, and some biology knowledge required.
- Other info: Opportunity to work with emerging technologies like agentic LLMs.
The predicted salary is between 36000 - 60000 £ per year.
We recruit ML Talent for AI-Tech Startups. Must have some familiarity with Biology – Either commercially or in Academia.
The Role
You will play a pivotal role in building and scaling internal tools. Your main responsibility will be owning and developing the target identification platform, ensuring it is well-tested, scalable, and seamlessly integrated with other components of their system. You will ensure the tool is maximally useful for research while remaining flexible for future advancements. There is also an opportunity to explore emerging technologies, such as agentic LLMs, to enhance internal scientific tools.
What We’re Looking For
We are looking for candidates with a strong software engineering background who have some familiarity with biology, even if not in a research capacity. This role requires a willingness to engage with biological concepts and integrate them into software development.
Key Responsibilities
- Lead the development of our target identification tool, ensuring robustness, scalability, and seamless integration with the broader platform.
- Collaborate with scientific, ML, and data teams to translate research needs into software solutions.
- Architect modular and future-proof software that evolves with scientific and computational advancements.
- Apply best practices in coding, testing, and documentation for long-term maintainability.
- Participate in agile methodologies, contributing to planning, development, testing, and deployment.
Core Competencies
- Strong proficiency in Python and backend development principles.
- Some experience or familiarity with biology and a willingness to deepen that knowledge.
- Experience with AWS services and Kubernetes (GCP exposure is a plus).
- Excellent communication skills and ability to work across technical teams.
- Pragmatic approach to troubleshooting and problem-solving in a fast-paced environment.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Python Engineer | Backend | AWS | Biology employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer | Backend | AWS | Biology
✨Tip Number 1
Familiarise yourself with the specific biological concepts relevant to the role. This could involve brushing up on key terms or recent advancements in biology that relate to software development, as it will help you engage more effectively during interviews.
✨Tip Number 2
Showcase your experience with AWS and Kubernetes by preparing examples of past projects where you've used these technologies. Be ready to discuss how you approached challenges and what solutions you implemented, as this will demonstrate your practical knowledge.
✨Tip Number 3
Connect with current employees or alumni from the company on LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 4
Prepare to discuss your approach to agile methodologies. Think of specific instances where you've contributed to planning, development, or deployment in a team setting, as this will highlight your collaborative skills and adaptability in a fast-paced environment.
We think you need these skills to ace Python Engineer | Backend | AWS | Biology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, backend development, and any relevant AWS or Kubernetes skills. Include any biology-related projects or coursework to demonstrate your familiarity with the subject.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's needs. Mention specific experiences where you've integrated biological concepts into software development or worked in a collaborative environment.
Showcase Relevant Projects: If you have worked on projects that involve target identification tools or similar applications, be sure to describe them in your application. Highlight your role, the technologies used, and the impact of your work.
Prepare for Technical Questions: Anticipate technical questions related to Python, backend development, and AWS during the interview process. Brush up on best practices in coding, testing, and documentation, as well as agile methodologies, to demonstrate your readiness for the role.
How to prepare for a job interview at Enigma
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python during the interview. Be prepared to discuss specific projects where you've used Python for backend development, and consider bringing examples of your code or discussing challenges you've overcome.
✨Demonstrate Your Understanding of Biology
Since familiarity with biology is a key requirement, be ready to talk about any relevant experience you have, whether from academia or industry. Discuss how you can integrate biological concepts into software development, showing your willingness to learn more.
✨Familiarise Yourself with AWS and Kubernetes
Brush up on your knowledge of AWS services and Kubernetes, as these are crucial for the role. Be prepared to answer questions about how you've used these technologies in past projects and how they can benefit the target identification platform.
✨Prepare for Collaborative Scenarios
The role involves working closely with scientific and ML teams, so think of examples that demonstrate your communication skills and ability to collaborate across technical teams. Be ready to discuss how you approach problem-solving in a team setting.
