Informatics Specialist

Informatics Specialist

Full-Time 50000 - 70000 € / year (est.) No home office possible
CK Group

At a Glance

  • Tasks: Develop and optimise molecular representations for innovative lipid nanoparticles.
  • Company: Leading research institution focused on cheminformatics and molecular design.
  • Benefits: Competitive salary, research funding, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and scientific discovery.
  • Why this job: Join a cutting-edge team and contribute to groundbreaking lipid research.
  • Qualifications: PhD in Cheminformatics or related field with strong programming skills.

The predicted salary is between 50000 - 70000 € per year.

Develop and optimise molecular representations for lipids involved in targeted lipid nanoparticles (tLNPs). Analyse lipid structures using cheminformatics workflows, AI/ML methods, and public/internal datasets. Generate and refine virtual lipid libraries using chemical intuition, molecular modelling, and reaction-based enumeration strategies. Build and validate predictive models linking lipid structure descriptors to formulation and in-vivo outcomes. Design workflows for diversity selection and prioritisation of lipids for synthesis and chemical space exploration.

Your Background:

  • PhD in Cheminformatics, Computational Chemistry, or a related scientific discipline with relevant industry or research experience.
  • Strong experience applying cheminformatics and AI/ML techniques to lipid analysis and molecular design.
  • Proven scientific programming capability, particularly with Python.
  • Understanding of lipid nanoparticle formulation, synthesis, purification challenges, and structure-property relationships would be advantageous.
  • Experience with cheminformatics toolkits, molecular descriptors, and AI-enabled computational chemistry approaches.

Informatics Specialist employer: CK Group

As an Informatics Specialist at our cutting-edge research facility, you will thrive in a collaborative and innovative environment that prioritises employee growth and development. We offer competitive benefits, including flexible working arrangements and opportunities for professional advancement, all while contributing to groundbreaking research in lipid nanoparticles. Join us in a location renowned for its vibrant scientific community, where your expertise will be valued and your contributions will make a meaningful impact.

CK Group

Contact Detail:

CK Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Informatics Specialist

Tip Number 1

Network like a pro! Reach out to professionals in the cheminformatics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Informatics Specialist role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to lipid analysis and molecular modelling. This is your chance to demonstrate your expertise in AI/ML techniques and cheminformatics workflows, making you stand out to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your scientific programming skills, especially in Python. We recommend practising common coding challenges and discussing your past experiences with cheminformatics tools to impress your interviewers.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Informatics Specialist

Cheminformatics
Molecular Modelling
AI/ML Techniques
Scientific Programming (Python)
Data Analysis
Predictive Modelling
Lipid Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your PhD and any relevant experience in cheminformatics or computational chemistry. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills in AI/ML techniques and molecular design!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about lipid nanoparticles and how your expertise can contribute to our team. Be specific about your experience with cheminformatics workflows and predictive modelling.

Showcase Your Programming Skills:Since strong programming capability is key for this role, make sure to mention your experience with Python and any relevant projects. If you've used cheminformatics toolkits or developed models, let us know – we love seeing practical applications of your skills!

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 keen on joining the StudySmarter family!

How to prepare for a job interview at CK Group

Know Your Cheminformatics Inside Out

Make sure you brush up on your cheminformatics knowledge, especially regarding lipid analysis and molecular design. Be prepared to discuss specific projects where you've applied AI/ML techniques, as this will show your practical experience and understanding of the field.

Showcase Your Programming Skills

Since strong programming capability in Python is crucial for this role, be ready to talk about your coding experience. Consider bringing examples of scripts or tools you've developed that relate to cheminformatics workflows or molecular modelling.

Prepare for Technical Questions

Expect technical questions related to lipid nanoparticle formulation and structure-property relationships. Review common challenges in synthesis and purification, and think about how you would approach these problems using your expertise.

Demonstrate Your Problem-Solving Skills

Be ready to discuss how you've tackled complex problems in your previous research. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical skills and ability to generate innovative solutions in cheminformatics.