At a Glance
- Tasks: Develop and optimise data frameworks using Benchling and LIMS for innovative scientific projects.
- Company: Join Quantori, a dynamic team at the forefront of bioinformatics and data science.
- Benefits: Enjoy competitive pay, flexible hours, healthcare benefits, and continuous learning opportunities.
- Other info: Collaborate with experts and grow your career in a supportive environment.
- Why this job: Make a real impact in the biotech industry by driving data-driven scientific innovation.
- Qualifications: Degree in Biology, Computational Biology, or Data Science; experience with Benchling and LIMS.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled and motivated Data Scientist with experience in LIMS and Benchling to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will be focused on accelerating the digitalization of biological data and enabling data-driven scientific innovation. The position will support the development of standardized in vitro/in vivo study workflows and the creation of scalable computational pipelines for multimodal data ingestion and harmonization across the research ecosystem.
Location: EU, UK, Armenia, Kazakhstan, Georgia
Responsibilities:
- Develop and optimize in vitro study design frameworks through Benchling, including assay templates, sample-tracking structures, and standardized data schemas.
- Create and maintain harmonized data storage solutions that ensure consistency across assay types and alignment with internal data standards.
- Collaborate closely with biologists, computational scientists, and data stakeholders to ensure high-quality, analysis-ready datasets.
- Support in vivo study data capture, ingestion, and standardization across the broader data ecosystem as needed.
- Communicate project progress, challenges, and deliverables proactively with the manager and key stakeholders.
What we expect:
- MS or BS in Biology, Computational Biology, Data Science, or a related field.
- 0-2 years (MS) or 2-3 years (BS) post-graduate working experience in biotech/pharma industry.
- Familiarity with biological assay data (cell-based assays, plate-based readouts, etc.).
- Hands-on experience with Benchling, including workflow design, build or assay configuration.
- Experience with LIMS.
- Strong experience developing data pipelines using R or Python.
- English level B2+ or higher.
We Offer:
- Competitive compensation.
- Remote or office work.
- Flexible working hours.
- Healthcare benefits: medical insurance and paid sick leave.
- Continuous education, mentoring, and professional development programs.
- A team with excellent tech expertise.
- Certifications paid by the company.
Data Scientist with experience in LIMS and Benchling in Cambridge employer: Quantori
At Quantori, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team enjoys competitive compensation, flexible working hours, and comprehensive healthcare benefits, alongside continuous education and professional development opportunities. With a focus on meaningful projects in the biotech sector, our employees are empowered to grow their skills while contributing to cutting-edge scientific advancements across the EU, UK, Armenia, Kazakhstan, and Georgia.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist with experience in LIMS and Benchling in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and data science fields. Attend meetups or webinars related to LIMS and Benchling, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving bioinformatics and data pipelines. Use platforms like GitHub to share your code and demonstrate your experience with R or Python. We want to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your past projects, especially how you’ve used Benchling and LIMS. We’re looking for clear communication, so make sure you can articulate your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love candidates who take the initiative. So, get your application in and let’s see if you’re the perfect fit for our team!
We think you need these skills to ace Data Scientist with experience in LIMS and Benchling in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with LIMS and Benchling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background in bioinformatics makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with R or Python in your application. We love seeing candidates who can develop data pipelines, so make sure to highlight any relevant projects or tools you've used.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Quantori
✨Know Your Tools Inside Out
Make sure you’re well-versed in LIMS and Benchling. Brush up on how these tools work, their features, and how they can be applied to bioinformatics. Be ready to discuss specific projects where you've used these platforms.
✨Showcase Your Data Skills
Prepare to talk about your experience with data pipelines, especially using R or Python. Have examples ready that demonstrate how you've developed or optimised workflows, and be prepared to explain your thought process behind them.
✨Collaborate Like a Pro
Since the role involves working closely with biologists and computational scientists, think of examples where you’ve successfully collaborated in a team. Highlight your communication skills and how you ensure everyone is on the same page.
✨Be Ready for Problem-Solving
Expect questions that test your problem-solving abilities. Prepare to discuss challenges you've faced in previous roles and how you overcame them, particularly in relation to data standardisation and harmonisation.
