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- Tasks: Join a team developing advanced cell-based therapies and contribute to groundbreaking bioinformatics research.
- Company: Innovative company at the forefront of scientific innovation in cell-based therapies.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real-world impact by working on cutting-edge bioinformatics projects.
- Qualifications: Experience in genomics, bioinformatics tools, and programming skills in R or Python.
- Other info: Dynamic team with a focus on collaboration and innovative solutions.
The predicted salary is between 36000 - 60000 £ per year.
This opportunity is at the forefront of scientific innovation with a company developing advanced cell-based therapies. Their cutting‑edge approaches aim to overcome key challenges in the field, enabling more effective and adaptable treatment strategies. You will be working on an advanced bioinformatics platform that supports the development of novel therapeutic solutions across a range of projects. As part of a multidisciplinary team of computational and experimental biologists, you will contribute to groundbreaking research with real‑world impact.
Skills
- Significant experience with mammalian genomics and genome‑scale data analysis; prior experience in human genomics preferred
- Proficient with bioinformatics tools and pipelines, especially NGS data processing for variant calling, expression profiling (bulk/single‑cell RNA‑seq), and/or other functional genomics applications
- Proven programming skills. Preference: R, Python
Desirable
- Familiarity with cloud services (AWS) and databases (SQL) for genomics data processing and storage; Linux & HPC experience a plus
- Knowledge or working experience with non‑coding RNA analysis and/or gene modulation technologies (e.g. CRISPR)
- Experience establishing computational infrastructures in an industry/company setting
- Experience troubleshooting application issues
- Training and experience in the application of machine learning and use of statistical models is a plus
Qualifications / Profile
- BSc/MSc/PhD with experience in bioinformatics, computational biology, statistics, and/or a related field; PhD would be an advantage
- Strong communication skills with the proven ability to relay information effectively and efficiently, both to computational and experimental scientists
- Team‑orientation toward collaboration and mutual success
- Ability to ensure reproducible and transferable work through use of appropriate procedures and documentation
Bioinformatician - NGS employer: SLS Services Limited
Contact Detail:
SLS Services Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician - NGS
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field, especially those working with NGS. Attend relevant conferences or webinars and don’t be shy about introducing yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with bioinformatics tools and pipelines. Include projects where you've tackled genome-scale data analysis or worked with NGS data processing. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills in R and Python. Be ready to discuss your experience with cloud services and databases, as well as any machine learning applications you've worked on. Confidence in your technical abilities can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your team-oriented mindset and communication skills, as these are key in our multidisciplinary environment.
We think you need these skills to ace Bioinformatician - NGS
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with mammalian genomics and NGS data processing. We want to see your proficiency with bioinformatics tools, so don’t hold back on showcasing your programming skills in R or Python!
Tailor Your Application: Take a moment to customise your application for this role. Mention any relevant projects or experiences that align with our cutting-edge approaches in cell-based therapies. We love seeing how you can contribute to our innovative team!
Be Clear and Concise: When writing your application, keep it clear and to the point. Strong communication is key, so make sure you relay your information effectively. We appreciate well-structured applications that are easy to read!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at SLS Services Limited
✨Know Your Genomics Inside Out
Make sure you brush up on your knowledge of mammalian genomics and genome-scale data analysis. Be prepared to discuss specific projects or experiences where you've successfully processed NGS data, as this will show your expertise and relevance to the role.
✨Show Off Your Programming Skills
Since programming is key for this position, be ready to talk about your experience with R and Python. Consider preparing a small coding example or discussing a project where you used these languages to solve a bioinformatics problem.
✨Familiarise Yourself with Cloud Services
If you have experience with AWS or SQL databases, make sure to highlight it during the interview. Companies love candidates who can handle cloud services for genomics data processing, so share any relevant experiences you have in this area.
✨Communicate Effectively
Strong communication skills are essential, especially when working in a multidisciplinary team. Practice explaining complex bioinformatics concepts in simple terms, as this will demonstrate your ability to relay information effectively to both computational and experimental scientists.
