At a Glance
- Tasks: Develop transformative AI technology to enhance drug design and improve patient lives.
- Company: Join Dalton, a pioneering company revolutionising drug discovery with cutting-edge technology.
- Benefits: Collaborative environment, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture focused on innovation and learning.
- Why this job: Make a real impact in the pharmaceutical industry while working with innovative technologies.
- Qualifications: Master’s or PhD in Computational Biology or AI, with strong programming skills.
The predicted salary is between 60000 - 80000 € 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’d 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 employer: Dalton Strategic Partnership LLP
Dalton is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and creativity are at the forefront of drug discovery. Employees benefit from opportunities for professional growth and development while contributing to meaningful projects that have a global impact on healthcare. Located in a vibrant area, Dalton provides a supportive environment that encourages teamwork and the application of cutting-edge technology to transform the pharmaceutical industry.
Contact Detail:
Dalton Strategic Partnership LLP Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Immunoinformatics Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to drug discovery and AI. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell us what you can do—show us! Create a portfolio of your projects, especially those that highlight your experience with AI and bioinformatics. This will give potential employers a tangible sense of your capabilities.
✨Tailor Your Approach
When reaching out to companies like Dalton, make sure to tailor your message. Highlight how your skills align with their mission to revolutionise drug discovery. A personalised approach shows genuine interest and can set you apart.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really interested in joining our team.
We think you need these skills to ace Immunoinformatics Engineer
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 impactful projects you've worked on. We want to see how your skills align with our mission at Dalton!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for drug discovery and how you can contribute to our innovative team. Be sure to mention specific technologies or methods you’ve worked with that relate to the role. We love seeing enthusiasm!
Showcase Your Communication Skills:As an Immunoinformatics Engineer, you'll need to convey complex ideas clearly. In your application, demonstrate your ability to communicate technical concepts effectively. Whether it's through your CV, cover letter, or any additional materials, let us see your communication prowess!
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 you're serious about joining our mission at Dalton. We can't wait to hear from you!
How to prepare for a job interview at Dalton Strategic Partnership LLP
✨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 understanding of 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 mentioned in the job description.
✨Communicate Clearly
Practice explaining complex scientific concepts in simple terms. This is crucial since you'll need to collaborate with cross-functional teams. Being able to convey your ideas clearly will set you apart from other candidates.
✨Emphasise Teamwork
Dalton values collaboration, so be ready to share examples of how you've worked effectively in teams. Discuss how you’ve learned from others and contributed to a positive team environment, as this aligns with their mission.
