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For Companies At a Glance
- Tasks: Develop AI methods to revolutionise drug design and enhance productivity.
- Company: Join Dalton, a pioneering company transforming the pharmaceutical industry.
- Benefits: Collaborative environment, competitive salary, and opportunities for impactful work.
- Why this job: Make a real difference in drug discovery and improve patient lives globally.
- Qualifications: Master's or PhD in Computational Biology or AI, with strong programming skills.
- Other info: Dynamic team culture with a focus on innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
About Dalton
Dalton is on a mission to make drug design more efficient. We are building the AI ecosystem for drug discovery, solving real-world problems, and transforming the pharmaceutical industry. Our goal is to harness cutting-edge technology and turn it into impactful products for our partners. Join us as we revolutionize drug discovery and improve the lives of patients worldwide.
Why Join Dalton
Dalton offers an exciting, collaborative environment where you can contribute to revolutionizing drug discovery. We value innovation, creativity, and commitment, and we are united by our mission to make a difference globally.
Role Overview
We are seeking a detail-oriented Immunoinformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fast-paced, multidisciplinary environment and have the skills below, we would love to hear from you.
Key Responsibilities
- Build strong relationships with Dalton's partners and deliver transformational projects.
- Collaborate with cross-functional teams—including data science, software engineering, and product development—to integrate novel technologies.
- Develop cutting-edge AI methods and integrate them into robust products that improve partner efficiency.
- Deliver robust, extensible, and maintainable software solutions, translating high-level business objectives into technical implementations.
- Drive your work with minimal supervision, managing the full software lifecycle from requirements capture to planning and execution.
- Stay informed about advancements in relevant scientific research and apply this knowledge to your work.
Capabilities
- Master's or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem-solving.
- Proven track record of impactful contributions to scientific projects.
- Advanced proficiency in Python or experience with other programming languages (e.g., Java, C/C++).
- Strong communication skills, capable of conveying complex scientific concepts to diverse audiences.
- Inclusive team player, open to learning from others and contributing to a collaborative environment.
- Desire to rapidly transition novel bioinformatics AI research into production environments to transform drug discovery.
Beneficial Skills and Experience
- Expertise in one or more of the following areas:
- Artificial Intelligence: Experience with state-of-the-art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning.
- Bioinformatics: Knowledge of biology data storage, formats, and protein-structure prediction; proficiency with toolkits such as BioPython.
- Protein Dynamics: Experience applying MD techniques to protein-protein interactions including using toolkits (e.g., OpenMM, Rosetta).
- Integrative structural modelling: Experience integrating structural data, e.g. CryoEM or HDX-MS with computational models in automated ways.
- Experience with data curation and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop.
- Proficiency with cloud platforms (AWS, GCP, Azure).
- Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Open-source contributions or publications demonstrating expertise in machine learning for scientific applications.
- Hands-on experience with best software development practices in collaborative environments.
Immunoinformatics Engineer in England employer: Dalton
Contact Detail:
Dalton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Immunoinformatics Engineer in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the immunoinformatics field on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI methods or bioinformatics. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like Dalton.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission to revolutionise drug discovery.
We think you need these skills to ace Immunoinformatics Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Immunoinformatics Engineer role. Highlight your relevant experience in computational biology and AI, and don’t forget to showcase any projects that demonstrate your skills in drug design.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for drug discovery and how your background aligns with Dalton's mission. Be sure to mention specific technologies or methodologies you’ve worked with that relate to the job.
Showcase Your Communication Skills: Since strong communication is key, make sure your application reflects your ability to convey complex ideas clearly. Use straightforward language and avoid jargon where possible, so everyone can understand your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Dalton
✨Know Your Stuff
Make sure you brush up on the latest advancements in immunoinformatics and AI methods. Be ready to discuss how these technologies can be applied to drug discovery, as this shows your passion and knowledge about the field.
✨Showcase Your Projects
Prepare to talk about your previous work and how it relates to the role. Highlight specific projects where you've made impactful contributions, especially those involving Python or other programming languages. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Practice explaining complex scientific concepts in simple terms. Since you'll be collaborating with diverse teams, being able to convey your ideas clearly is crucial. Think of examples where you've successfully communicated technical information to non-experts.
✨Emphasise Teamwork
Dalton values collaboration, so be prepared to discuss your experiences working in multidisciplinary teams. Share examples of how you've contributed to a team environment and learned from others, showcasing your inclusive approach.
