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- Tasks: Develop transformative technology to enhance drug design and collaborate with cross-functional teams.
- Company: Dalton is revolutionising drug discovery using AI to improve patient lives globally.
- Benefits: Enjoy a collaborative environment, innovative culture, and the chance to make a global impact.
- Why this job: Join us to work on cutting-edge AI methods that transform the pharmaceutical industry.
- Qualifications: Masterâs or PhD in Computational Biology or AI, with strong programming skills and communication abilities.
- Other info: Ideal for those passionate about bioinformatics and eager to transition research into production.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About DaltonDalton is on a mission to make drug design more efficient. We are building the AI ecosystem for drug discovery, solving realâworld problems, and transforming the pharmaceutical industry. Our goal is to harness cuttingâedge 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 DaltonDalton 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 OverviewWe are seeking a detailâoriented Immunoinformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fastâpaced, multidisciplinary environment and have the skills below, we\âd love to hear from you.
Key Responsibilities
Build strong relationships with Dalton\âs partners and deliver transformational projects.
Collaborate with crossâfunctional teamsâincluding data science, software engineering, and product developmentâto integrate novel technologies.
Develop cuttingâedge AI methods and integrate them into robust products that improve partner efficiency.
Deliver robust, extensible, and maintainable software solutions, translating highâlevel 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\âs or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problemâsolving.
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 stateâofâtheâart methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning.
Bioinformatics: Knowledge of biology data storage, formats, and proteinâstructure prediction; proficiency with toolkits such as BioPython.
Protein Dynamics: Experience applying MD techniques to proteinâprotein interactions including using toolkits (e.g., OpenMM, Rosetta).
Integrative structural modelling: Experience integrating structural data, e.g. CryoEM or HDXâMS 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., scikitâlearn, TensorFlow, PyTorch).
Openâsource contributions or publications demonstrating expertise in machine learning for scientific applications.
Handsâon experience with best software development practices in collaborative environments.
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Immunoinformatics Engineer employer: Dalton
Contact Detail:
Dalton Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Immunoinformatics Engineer
â¨Tip Number 1
Familiarise yourself with the latest advancements in AI and bioinformatics. Follow relevant journals, attend webinars, and engage with online communities to stay updated. This knowledge will not only enhance your understanding but also demonstrate your passion for the field during discussions.
â¨Tip Number 2
Network with professionals in the drug discovery and immunoinformatics sectors. Attend industry conferences or local meetups to connect with potential colleagues and mentors. Building these relationships can provide valuable insights and may even lead to referrals for job openings.
â¨Tip Number 3
Showcase your technical skills through personal projects or contributions to open-source initiatives. Developing a portfolio that highlights your proficiency in Python and other relevant technologies can set you apart from other candidates and demonstrate your hands-on experience.
â¨Tip Number 4
Prepare to discuss how you can contribute to Dalton's mission of revolutionising drug discovery. Think about specific examples from your past work where you've successfully integrated AI methods into projects, and be ready to share these during interviews to illustrate your fit for the role.
We think you need these skills to ace Immunoinformatics Engineer
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights relevant experience in computational biology and artificial intelligence. Emphasise any projects or roles where you've developed software solutions or worked with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for drug discovery and how your skills align with Dalton's mission. Mention specific technologies or methodologies youâve worked with that relate to the role of Immunoinformatics Engineer.
Showcase Your Technical Skills: Clearly outline your proficiency in programming languages like Python, and any experience with AI methods or bioinformatics tools. Provide examples of how you've applied these skills in previous projects.
Highlight Collaborative Experience: Since the role involves working with diverse teams, include examples of past collaborations. Discuss how you contributed to team success and any innovative solutions you helped develop.
How to prepare for a job interview at Dalton
â¨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, Java, or C/C++. Highlight any specific projects where you've applied AI methods or bioinformatics techniques, as this will demonstrate your capability to contribute to Dalton's mission.
â¨Demonstrate Collaborative Spirit
Dalton values teamwork, so be ready to share examples of how you've successfully collaborated with cross-functional teams. Discuss how youâve integrated diverse technologies and worked towards common goals in previous roles.
â¨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in drug discovery and bioinformatics. Being able to discuss recent research or breakthroughs will show your passion for the field and your commitment to staying informed.
â¨Communicate Complex Ideas Clearly
Practice explaining complex scientific concepts in simple terms. This is crucial, as you'll need to convey intricate ideas to various stakeholders at Dalton. Clear communication can set you apart from other candidates.
