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- Tasks: Develop and optimise study design frameworks and harmonised data storage solutions.
- Company: Join Quantori, a dynamic team at the forefront of scientific innovation.
- Benefits: Enjoy competitive compensation, flexible hours, and healthcare benefits.
- Why this job: Make a real impact in bioinformatics and drive data-driven scientific innovation.
- Qualifications: MS or BS in relevant fields with experience in Benchling and LIMS.
- Other info: Continuous education and professional development opportunities await you.
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 Coventry employer: Quantori
Contact Detail:
Quantori Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist with experience in LIMS and Benchling in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and data science fields. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LIMS and Benchling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios related to bioinformatics. Practice explaining your thought process clearly, as communication is key when collaborating with biologists and computational scientists.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in working with us at Quantori.
We think you need these skills to ace Data Scientist with experience in LIMS and Benchling in Coventry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights 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 you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in R or Python and any experience with biological assay data. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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
Make sure you brush up on your knowledge of LIMS and Benchling. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you optimised workflows or improved data management.
✨Showcase Your Collaboration Skills
Since the role involves working closely with biologists and computational scientists, prepare to share experiences where you've successfully collaborated with cross-functional teams. Highlight how you communicated complex data insights to non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions about your experience with data pipelines in R or Python. Brush up on your coding skills and be ready to solve a problem on the spot or explain your thought process in developing scalable solutions.
✨Demonstrate Your Passion for Data Science
Express your enthusiasm for bioinformatics and data-driven innovation. Share any personal projects or continuous education efforts that showcase your commitment to staying current in the field and your eagerness to contribute to scientific advancements.