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- Tasks: Collaborate with scientists to enhance bioinformatics capabilities for drug discovery.
- Company: Join a stealth mode Oxford University spin-off focused on genetic therapy.
- Benefits: Enjoy competitive salary, work-life balance, and access to cutting-edge technology.
- Why this job: Be part of a genetic medicine revolution that improves lives and work with industry experts.
- Qualifications: PhD in relevant fields with experience in genomics and proficiency in R/Python required.
- Other info: Opportunity to be an early team member in an exciting biotech start-up.
The predicted salary is between 48000 - 84000 £ per year.
Senior Bioinformatician
Who are they?
I’m working with a stealth mode organisation who are an Oxford University spin off early-stage genetic therapy platform company. They’re advancing precision medicine by harnessing the power of protein isoforms, specifically focusing on treating neuromuscular diseases of high unmet needs. This company is backed by an established venture capital investor and have a clear mission to improve lives through genetic medicine.
Key responsibilities:
- Collaborating closely with scientists and biologists internally and externally to design, implement and improve our bioinformatics capabilities including new workflows and tools required for target and drug discovery.
- Establishing, implementing, and managing a robust and scalable bioinformatics data storage system.
- Developing data storage policies to ensure data integrity, security, and compliance with industry regulations
- Working independently to process and develop bioinformatics pipelines
- Reporting results clearly to bench and dry lab collaborators and other partners and communicating results in wider team meetings
Essential Qualifications
- A PhD in Computational Biology, Bioinformatics, Computer Science with relevant experience in transcriptomics analyses.
- Significant experience with mammalian genomics and transcriptomics; Prior experience in human genomics
- Experience with long read RNA sequencing data analysis
- Experience with implementing NGS analysis pipelines for the following analyses is a plus: single-cell RNA sequencing, differential gene expression and splicing analysis/ isoform discovery
- Highly proficient in computing languages including R and/or Phyton and use of statistical tools for biological interpretations.
- Ability to work in a fast-paced environment and deliver high quality data within deadline-driven workflows.
What\’s in it for you?
- The opportunities to work alongside a talented and passionate team of researchers and industry experts.
- Access to cutting-edge laboratory facilities and state-of-the-art gene therapy technology.
- Competitive salary/ compensation package.
- A healthy work-life balance.
- The chance to be part of a genetic medicine revolution that can change lives.
- The opportunity to be an early team member of an exciting new biotech start-up.
Senior Bioinformatics Scientist employer: Warman O'Brien
Contact Detail:
Warman O'Brien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Bioinformatics Scientist
✨Tip Number 1
Make sure to showcase your experience with mammalian genomics and transcriptomics in your conversations. Highlight specific projects where you've successfully implemented bioinformatics pipelines, especially if they relate to long read RNA sequencing.
✨Tip Number 2
Network with professionals in the field of genetic medicine and bioinformatics. Attend relevant conferences or webinars where you can meet scientists and biologists who might be working on similar projects or at companies like the one we're hiring for.
✨Tip Number 3
Familiarize yourself with the latest advancements in precision medicine and genetic therapies. Being able to discuss current trends and how they relate to the company's mission will demonstrate your genuine interest and knowledge during interviews.
✨Tip Number 4
Prepare to discuss your proficiency in R and Python. Be ready to provide examples of how you've used these languages for statistical analysis and biological interpretations in past projects, as this is crucial for the role.
We think you need these skills to ace Senior Bioinformatics Scientist
Some tips for your application 🫡
Understand the Company: Research the stealth mode organization and its mission to advance precision medicine. Familiarize yourself with their focus on protein isoforms and neuromuscular diseases to tailor your application.
Highlight Relevant Experience: Emphasize your PhD in Computational Biology or Bioinformatics and any significant experience you have with mammalian genomics, transcriptomics, and RNA sequencing data analysis. Be specific about your past projects and results.
Showcase Technical Skills: Clearly outline your proficiency in computing languages like R and Python, as well as your experience with NGS analysis pipelines. Mention any statistical tools you have used for biological interpretations.
Communicate Effectively: Demonstrate your ability to report results clearly by providing examples of how you've communicated complex data to collaborators in previous roles. This will show that you can work well in a team-oriented environment.
How to prepare for a job interview at Warman O'Brien
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with bioinformatics tools and techniques, especially in transcriptomics and genomics. Highlight specific projects where you've implemented NGS analysis pipelines or worked with long read RNA sequencing data.
✨Demonstrate Collaboration Skills
Since the role involves working closely with scientists and biologists, share examples of how you've successfully collaborated in interdisciplinary teams. Emphasize your ability to communicate complex bioinformatics concepts to non-experts.
✨Discuss Data Management Strategies
Talk about your experience in establishing and managing bioinformatics data storage systems. Be ready to explain how you ensure data integrity, security, and compliance with industry regulations in your previous roles.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to work independently and solve complex problems under tight deadlines. Think of scenarios where you've had to troubleshoot issues in bioinformatics pipelines and how you approached those challenges.
