Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford
Hybrid Bioinformatician for Therapeutics & Isoform Discovery

Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford

Oxford Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Collaborate with scientists to develop bioinformatics workflows and analyse NGS data.
  • Company: Dynamic biotech company in Oxford focused on ALS and neurodegenerative diseases.
  • Benefits: Hybrid work model, opportunities for significant contributions, and a supportive team environment.
  • Why this job: Make a real impact in advancing innovative therapies for neurodegenerative diseases.
  • Qualifications: PhD in computational biology or related field, with R and Python programming skills.
  • Other info: Join a small, dynamic team dedicated to groundbreaking research.

The predicted salary is between 36000 - 60000 £ per year.

A biotech company in Oxford is seeking a Bioinformatician / Computational Scientist to advance its research in ALS and neurodegenerative diseases. The role requires collaboration with scientists to develop bioinformatics workflows and pipelines, analyze NGS data, and communicate findings effectively.

A PhD in computational biology or related field is essential, along with skills in R and Python programming. This hybrid position offers opportunities for significant contribution in a small but dynamic team focusing on innovative therapies.

Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford employer: ISOgenix Limited

Join a pioneering biotech company in Oxford, where your expertise as a Bioinformatician will directly contribute to groundbreaking research in ALS and neurodegenerative diseases. Our collaborative work culture fosters innovation and personal growth, offering you the chance to develop your skills while working alongside passionate scientists in a supportive environment. With a focus on meaningful contributions and the potential for impactful discoveries, this role provides a unique opportunity to be at the forefront of therapeutic advancements.
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Contact Detail:

ISOgenix Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford

✨Tip Number 1

Network like a pro! Reach out to professionals in the biotech field, especially those working on ALS and neurodegenerative diseases. Attend relevant conferences or webinars to make connections that could lead to job opportunities.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your bioinformatics workflows and any projects you've worked on using R and Python. This will give potential employers a clear idea of what you can bring to their team.

✨Tip Number 3

Prepare for interviews by brushing up on your communication skills. Be ready to explain complex bioinformatics concepts in simple terms, as you'll need to collaborate with scientists from various backgrounds.

✨Tip Number 4

Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our dynamic team.

We think you need these skills to ace Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford

Bioinformatics
Computational Biology
NGS Data Analysis
R Programming
Python Programming
Collaboration Skills
Workflow Development
Data Communication
Problem-Solving Skills
Research Skills
Adaptability
Teamwork

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in bioinformatics and computational biology. We want to see how your skills in R and Python can contribute to our work on ALS and neurodegenerative diseases.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about bioinformatics and how you can help us develop innovative therapies. Be sure to mention any relevant projects or collaborations you've been part of.

Showcase Your Communication Skills: Since you'll be collaborating with scientists, it's important to demonstrate your ability to communicate complex findings clearly. Include examples of how you've effectively shared your insights in previous roles.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic team!

How to prepare for a job interview at ISOgenix Limited

✨Know Your Bioinformatics Inside Out

Make sure you brush up on your bioinformatics knowledge, especially related to ALS and neurodegenerative diseases. Be prepared to discuss specific workflows and pipelines you've developed in the past, as well as how you've used R and Python in your projects.

✨Showcase Your Collaboration Skills

Since this role involves working closely with scientists, think of examples where you've successfully collaborated in a team setting. Highlight how you communicated complex findings to non-technical colleagues, as this will demonstrate your ability to bridge the gap between bioinformatics and biological research.

✨Prepare for Technical Questions

Expect some technical questions during the interview. Brush up on your NGS data analysis techniques and be ready to explain your approach to developing bioinformatics workflows. Practising coding problems in R and Python can also give you an edge.

✨Express Your Passion for Innovation

This position is all about contributing to innovative therapies, so make sure to convey your enthusiasm for the field. Share any personal projects or research that align with the company's mission, and express your eagerness to be part of a dynamic team making a real difference.

Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford
ISOgenix Limited
Location: Oxford
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  • Hybrid Bioinformatician for Therapeutics & Isoform Discovery in Oxford

    Oxford
    Full-Time
    36000 - 60000 £ / year (est.)
  • I

    ISOgenix Limited

    50-100
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