At a Glance
- Tasks: Join us as an Applications Bioinformatician to optimise sequencing protocols and develop data analysis pipelines.
- Company: Oxford Nanopore Technologies is revolutionising DNA and RNA sequencing for global accessibility and real-time analysis.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth in a dynamic environment.
- Other info: We value diversity and welcome applicants from all backgrounds to join our innovative team.
- Why this job: Be part of a mission-driven team making a real impact in genomics across various industries.
- Qualifications: PhD or equivalent experience in relevant fields, with strong skills in bioinformatics and data analysis.
The predicted salary is between 28800 - 48000 £ per year.
About Us
Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere.
Job Description
Oxford Nanopore Technologies
Location: Oxford, UK
Role Type: Full time, hybrid
Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins. The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments.
With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.
We are looking for an individual with expertise in bioinformatics, with particular experience of working with human sequencing data, to join our Applications team as an Applications Bioinformatician.
The Role
The Proof of Concept Clinical Applications team works within R&D to evaluate the feasibility of novel applications of Oxford Nanopore sequencing examining human disease, with a particular focus on rare disease.
As a member of the Proof of Concept Clinical Applications team, the successful candidate will primarily interpret sequencing data generated by lab scientists within the team, in a range of biological contexts aiming to showcase the abilities of the technology and develop proof of concept workflows to fill market niches. You should also be prepared to work with others across the wider Applications group to share expertise and collaborate where appropriate and to communicate your findings to internal stakeholders through presentations, reports and discussions in meetings.
As this role is within a multi-disciplinary team, the position is offered as hybrid, with an expectation of being in the Oxford office at least two days a week.
Main Responsibilities Include
- Initial investigations of sequencing data to identify the potential of an experimental design.
- Performing evaluation of appropriate bioinformatics tools for a given application, and carrying out defined custom analysis where needed.
- Independently deliver assigned analysis tasks while escalating priorities, design decisions and blockers.
- Support evaluation and development of defined proof-of-concept analyses; seek guidance on analysis design, interpretation and roadblocks.
- Developing initial proof-of-concept pipelines for analysis of DNA, cDNA and direct RNA sequencing data using ONT's nanopore sensing platform, with regular guidance from a senior bioinformatician/manager, including task prioritization and mentoring.
- Working collaboratively with laboratory-based scientists in the group to contribute suggestions on experimental design, to interpret the data generated in the appropriate biological context, and to report the results clearly.
- Working with the team to make analysis and figure contributions to conference talks and posters.
- Working closely with other applications groups in different locations to keep up-to-date with the latest developments, provide feedback and incorporate them into analyses where appropriate.
What We're Looking For…
To be successful you'll have an MSc or equivalent experience, involving analysis and visualization of DNA and RNA sequence data, plus an undergraduate degree in a Biological Science or Computer Science. Additionally, having a PhD or job experience in a relevant field would be beneficial.
We'll expect you to have a track record of successfully performing appropriate bioinformatics sequence analyses for at least a couple of research projects and awareness of the whole experimental process, from the initial experimental concept to biologically meaningful results. In addition, you'll have some practical experience of handling and analysing large human datasets, ideally in a clinical research setting. An awareness of the concepts of assembly, phasing and variant calling, and how to perform them would be beneficial. You would be working closely with lab scientists to continually refine the experimental and analytical approaches. Therefore, the role is a mixture of collaboration for project design and independent analysis, though the bioinformatics will be supported as appropriate. An important part of the role is also keeping up to date with advances in genetics and genomics.
Specific technical experience that would be expected for the role:
- Programming experience (python, R)
- Graphical visualisation experience
- Experience of using a terminal interface, HPC and scheduling
- Familiarity with common bioinformatics file formats
- Experience with common bioinformatic tools (e.g. samtools, bedtools, IGV)
- Package management (conda)
- Version control (git, Github/Gitlab)
Specific technical experience that would be beneficial for the role:
- Experience with Oxford Nanopore sequencing data
- Experience with human clinical data regulations
- Experience with assembly, phasing and/or variant calling
- Claude or Codex experience
- Workflow management systems (nextflow, snakemake)
- Cloud usage (AWS EC2 and s3)
- Statistics
You're also someone with good communication and interpersonal skills with an enthusiasm for technology. You feel confident discussing and presenting data within the team and with other colleagues. You are versatile, have excellent problem-solving and time management skills and the ability to work on multiple projects simultaneously. It will be important to be able to work efficiently both independently, supported by regular check-ins, and as part of a team.
This role will suit a curious, organized individual with the ability to adapt based on changing business needs and looking for a supportive environment in which to further develop their skills.
We offer outstanding benefits to include an attractive bonus, generous pension contributions, private healthcare and an excellent starting salary. Based within beautiful, landscaped surroundings with tree-lined walks, water features and a lake, all of which make for a wonderful working environment.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
About Us
Oxford Nanopore Technologies: Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins. The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments. With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.
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Applications Bioinformatician in Oxford employer: Oxford Nanopore Technologies
Oxford Nanopore is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Oxfordshire. With a strong commitment to employee development, you will have access to numerous growth opportunities while working in a hybrid environment that promotes work-life balance. Join us to be part of a mission-driven team dedicated to advancing molecular analysis technology and improving life on Earth.
Contact Details:
Oxford Nanopore Technologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applications Bioinformatician in Oxford
✨Tip Number 1
Familiarise yourself with Oxford Nanopore Technologies' products and their applications in various sectors. Understanding how their sequencing platforms work and the specific challenges they address will help you demonstrate your enthusiasm and knowledge during any discussions.
✨Tip Number 2
Network with professionals in the bioinformatics and genomics fields, especially those who have experience with NGS data analysis. Engaging with industry experts can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss your experience with scripting languages like Python or R, as well as any workflow tools you've used. Be ready to share specific examples of how you've developed or optimised bioinformatics pipelines in previous roles.
✨Tip Number 4
Showcase your collaborative skills by highlighting past experiences where you've worked closely with lab scientists or cross-functional teams. Emphasising your ability to communicate complex bioinformatics concepts to non-experts will be a big plus.
We think you need these skills to ace Applications Bioinformatician in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in bioinformatics, particularly in DNA/RNA sequence analysis and pipeline development. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for genomics and your understanding of Oxford Nanopore Technologies' mission. Mention specific projects or experiences that align with the responsibilities of the Applications Bioinformatician role.
Showcase Technical Skills:In your application, emphasise your proficiency in scripting languages like Python or R, and your experience with workflow tools such as Nextflow. Provide examples of how you've used these skills in previous roles or projects.
Highlight Collaboration Experience:Since the role involves working closely with lab scientists, include examples of past collaborations in your application. Discuss how you effectively communicated findings and contributed to team projects.
How to prepare for a job interview at Oxford Nanopore Technologies
✨Showcase Your Technical Skills
Be prepared to discuss your experience with DNA/RNA sequence analysis and pipeline development. Highlight specific projects where you've optimised workflows or developed data analysis pipelines, as this will demonstrate your technical expertise relevant to the role.
✨Collaborate Effectively
Since the role involves working closely with lab scientists, be ready to share examples of how you've successfully collaborated in cross-functional teams. Emphasise your communication skills and ability to work towards common goals.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles and how you overcame them. This could include adapting bioinformatics tools or modifying pipelines for specific outcomes, showcasing your analytical thinking and adaptability.
✨Understand the Company’s Mission
Familiarise yourself with Oxford Nanopore Technologies' goals and values. Being able to articulate how your skills and experiences align with their mission of enabling accessible genomic analysis will show your genuine interest in the company.