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- Tasks: Lead the development of omics workflows and curate pangenomes in a collaborative setting.
- Company: Biographica, a vibrant company at the forefront of plant genomics.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Other info: Join a dynamic team and thrive in a supportive work environment.
- Why this job: Make a real impact in plant genomics while working with cutting-edge technology.
- Qualifications: Experience with pangenomes, strong Python coding skills, and familiarity with bioinformatics tools.
The predicted salary is between 50000 - 65000 £ per year.
Biographica is seeking a skilled computational biologist to lead the development of omics workflows in London. This role involves creating and curating pangenomes, reviewing existing pipelines, and collaborating with cross-functional teams including ML and data engineers.
Candidates should have extensive experience with pangenomes in plants, solid coding skills in Python, and hands-on experience with Nextflow and bioinformatics tools.
The role offers competitive salary, equity options, and a vibrant work environment with development opportunities.
Pangenome Bioinformatician — Plant Genomics & ML Pipelines employer: Nucleus Capital I. GMBH
Contact Detail:
Nucleus Capital I. GMBH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pangenome Bioinformatician — Plant Genomics & ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to professionals in the plant genomics field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your pangenome projects and coding prowess in Python. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of omics workflows and bioinformatics tools. Be ready to discuss how you’ve tackled challenges in previous roles, especially with Nextflow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Pangenome Bioinformatician — Plant Genomics & ML Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with pangenomes and any relevant coding skills in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about plant genomics and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, especially involving Nextflow or bioinformatics tools, make sure to mention them. We’re keen to see practical examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Nucleus Capital I. GMBH
✨Know Your Pangenomes
Make sure you brush up on your knowledge of pangenomes, especially in the context of plant genomics. Be ready to discuss specific projects you've worked on and how you've contributed to developing or curating pangenomes.
✨Show Off Your Coding Skills
Since solid coding skills in Python are a must, prepare to demonstrate your proficiency. You might be asked to solve a coding problem or explain your approach to a bioinformatics challenge, so practice articulating your thought process clearly.
✨Familiarise Yourself with Nextflow
As this role involves reviewing existing pipelines, make sure you're comfortable discussing Nextflow. If you have experience using it, be prepared to share examples of how you've implemented it in past projects and any challenges you faced.
✨Collaboration is Key
This position requires working with cross-functional teams, so highlight your teamwork skills. Think of examples where you've successfully collaborated with ML and data engineers, and be ready to discuss how you can contribute to a vibrant work environment.