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- Tasks: Collaborate on AI-driven drug discovery projects and develop innovative software solutions.
- Company: Join a VC-backed startup revolutionising drug design with cutting-edge AI technology.
- Benefits: Enjoy hybrid work options and be part of a mission-driven team focused on global health impact.
- Why this job: Be at the forefront of transforming healthcare while working in a collaborative and inclusive environment.
- Qualifications: PhD in relevant fields, expert Python skills, and experience in scientific or healthcare sectors required.
- Other info: Ideal for those eager to apply AI in real-world drug discovery challenges.
The predicted salary is between 48000 - 84000 £ per year.
Looking for candidates with a strong background in Chemistry, engineering and AI who are passionate about applying these skills to drug discovery.
A well-funded VC backed start up is on a mission to transform drug design through cutting-edge AI, making the process faster, smarter, and more efficient. They are building an advanced AI ecosystem to solve real-world challenges in drug discovery, partnering with industry leaders to bring impactful solutions to life.
We are looking for candidates with a strong background in Chemistry, engineering and AI who are passionate about applying these skills in the drug discovery space.
Key Responsibilities:- Build strong relationships with the company’s partners to deliver transformational projects.
- Work on the integration of novel technologies in collaboration with data science, software engineering teams.
- Develop AI methods and integrate them into robust products to improve efficiencies.
- Deliver robust, extensible, and maintainable software solutions, translating high-level business objectives into technical implementations.
- PhD in Computational Chemistry, Cheminformatics or Artificial Intelligence.
- Must have worked in scientific or healthcare space.
- Expert level Python programming, and experience with other languages like Java or C/C++.
- Knowledge of chemistry data storage and formatting.
- Working with toolkits such as RDKit or OpenEye.
- Proficiency working with cloud platforms – ideally AWS.
- Any Quantum Mechanics experience would be highly advantageous.
- Inclusive team player, open to learning from others and contributing to a collaborative environment.
- Desire to rapidly transition novel chemical AI research into production environments to transform drug discovery.
You’ll be part of an innovative, collaborative team dedicated to revolutionising the pharmaceutical industry and improving patient outcomes worldwide. If you’re passionate about technology, science, and making a global impact, and want to be at the forefront of the future of drug discovery, then this is definitely the opportunity for you.
Cheminformatics Engineer employer: Kemioconsulting
Contact Detail:
Kemioconsulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cheminformatics Engineer
✨Tip Number 1
Network with professionals in the cheminformatics and AI fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your passion for drug discovery by engaging in relevant projects or research. Whether it's through personal projects, collaborations, or contributions to open-source initiatives, demonstrating your commitment can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the latest advancements in AI applications within the pharmaceutical industry. Being knowledgeable about current trends and technologies will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 4
Prepare to discuss how your skills in Python and other programming languages can be applied to real-world problems in drug discovery. Think of specific examples where you've successfully integrated technology to solve complex challenges.
We think you need these skills to ace Cheminformatics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your background in Chemistry, engineering, and AI. Emphasise any relevant experience in drug discovery and showcase your programming skills, particularly in Python.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for the role and the company’s mission. Discuss how your skills and experiences align with their goals in transforming drug design through AI.
Highlight Relevant Projects: Include specific projects or experiences where you have applied AI in a scientific context. Mention any tools or technologies you used, such as RDKit or cloud platforms like AWS.
Showcase Collaborative Skills: Since the role involves working with various teams, highlight your ability to collaborate and communicate effectively. Provide examples of how you've worked in team settings to achieve common goals.
How to prepare for a job interview at Kemioconsulting
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python and any other programming languages you know, such as Java or C/C++. Highlight specific projects where you've applied these skills, especially in the context of cheminformatics or AI.
✨Demonstrate Your Passion for Drug Discovery
Express your enthusiasm for the field of drug discovery and how your background in chemistry and engineering aligns with the company's mission. Share examples of how you've contributed to similar projects or initiatives in the past.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with partners and teams, be ready to discuss your experience in collaborative environments. Think of examples where you've successfully worked with data scientists or software engineers to achieve a common goal.
✨Understand the Company’s Vision
Research the company’s current projects and their approach to integrating AI in drug design. Being knowledgeable about their work will not only impress the interviewers but also help you articulate how you can contribute to their vision.
