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- Tasks: Join us to develop AI-powered tools for drug discovery and tackle real-world biological challenges.
- Company: Deep Origin, a pioneering biotechnology firm transforming R&D with cutting-edge technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a significant impact in healthspan extension using advanced computational methods.
- Qualifications: Bachelor's or Master's in a quantitative field and strong coding skills in Python.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Deep Origin is a biotechnology company accelerating drug discovery through AI-powered tools. Our platforms simplify R&D, simulate biology, and empower scientists to solve diseases and extend healthspan. We are seeking a Modeling & Numerical Optimization Specialist to join our team at the forefront of computational life sciences. In this role, you will help to construct simulation and parameter optimization approaches for large-scale systems of biological models, including mechanistic and machine learning model components, used in whole-human toxicology predictions. Additionally, you will work on efficiently simulating and optimizing the system of models at scale, including using high-performance computing and distributed computing frameworks. If you have a strong background in Systems Biology, Quantitative Systems Pharmacology, and/or Toxicology, and you’re excited to solve highly complex, real-world biological challenges using cutting-edge computational methods, we’d love to connect with you.
Requirements
- Bachelor's or Master's in a relevant quantitative field (Biology, Computer Science, Math, Physics, Engineering, etc.).
- Experience in construction and parametrization of biological models, either ML or mechanistic.
- Extensive coding experience in Python.
- Experience with high-performance computing and/or distributed systems.
- Experience with optimization algorithms and numerical considerations.
- Experience with classical ML approaches, such as tree-based methods, MLPs, etc.
Responsibilities
- Construct software frameworks for seamlessly connecting, executing, and parametrizing large-scale systems of biological models, ranging from physiological to molecular scale.
- Work with the Deep Origins Cellular Simulations team and the wider company to develop interfaces for sub-models at various scales, which represent biological processes relevant to physiology and toxicology, to incorporate into the above framework.
- Incorporate interpretable machine learning methods in the system of models, where appropriate, to help capture unrepresented interactions and calibrate to experimental or clinical outcomes.
- Plan and organize work to ensure specific deadlines and milestones are met, coordinating with others to ensure work is correctly aligned and integrated with other efforts.
- Communicate effectively within the company and external teams, updating others frequently on progress and bottlenecks.
Nice to have
- Experience with cellular pathway or organ modeling, for purposes of drug discovery or toxicology.
- Experience with creating surrogate models of biological systems, with analytical or ML-based approaches.
- Experience with interpretability and sensitivity analysis of mechanistic and machine learning models.
- Experience with GPU computation, C, and C++.
Scientist, Modeling and Optimization employer: Deep Origin
Contact Detail:
Deep Origin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist, Modeling and Optimization
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and computational life sciences fields on LinkedIn. Join relevant groups, attend webinars, and don’t hesitate to slide into DMs for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to biological modelling and optimization. Whether it’s GitHub repos or case studies, having tangible evidence of your expertise can really set you apart when you’re chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills in Python and be ready to discuss your experience with high-performance computing and optimization algorithms. Practise explaining complex concepts in simple terms – it’ll show you can communicate effectively, which is key in any team.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission at Deep Origin. Tailor your application to highlight how your background in Systems Biology and quantitative fields aligns with our goals. Let’s make some magic happen together!
We think you need these skills to ace Scientist, Modeling and Optimization
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Modeling & Numerical Optimization Specialist. Highlight your experience in Systems Biology, coding in Python, and any relevant projects that showcase your skills in optimization algorithms and high-performance computing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working at Deep Origin and how your background aligns with our mission to accelerate drug discovery through AI-powered tools. Be genuine and let your passion for computational life sciences come through.
Showcase Relevant Projects: If you've worked on any projects related to biological models or machine learning, make sure to mention them. We love seeing practical applications of your skills, so include details about your contributions and the impact they had on the project.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at Deep Origin!
How to prepare for a job interview at Deep Origin
✨Know Your Models Inside Out
Make sure you have a solid understanding of both mechanistic and machine learning models. Be ready to discuss your experience in constructing and parametrising biological models, as well as any specific projects you've worked on that relate to the role.
✨Show Off Your Coding Skills
Since extensive coding experience in Python is a must, brush up on your coding skills before the interview. Prepare to demonstrate your proficiency by discussing past projects or even solving a coding challenge during the interview.
✨Familiarise Yourself with High-Performance Computing
Deep Origin values efficiency in simulations, so be prepared to talk about your experience with high-performance computing and distributed systems. Highlight any relevant projects where you optimised large-scale systems or used advanced computing techniques.
✨Communicate Clearly and Effectively
Effective communication is key in this role. Practice explaining complex concepts in simple terms, and be ready to discuss how you’ve coordinated with teams in the past. This will show that you can keep everyone aligned and informed throughout projects.