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- Tasks: Join us as a Scientific Data Engineer, tackling data challenges in lab instrumentation and AI.
- Company: TetraScience is revolutionising scientific data with cutting-edge AI solutions for labs.
- Benefits: Enjoy competitive salary, equity, generous PTO, and flexible remote work options.
- Why this job: Be part of a dynamic team driving innovation in scientific data management and AI.
- Qualifications: 3+ years in Python/SQL; degree in biology/chemistry or relevant experience required.
- Other info: This role is full-time and based in London; no visa sponsorship available.
The predicted salary is between 48000 - 72000 £ per year.
Overview
TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world\’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom.
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.
What You Will Do
- Research data acquisition strategy for scientific lab instrumentation
- Research and productionize file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
- Design and build data models and the corresponding data pipelines, unit tests, integration tests, and reusable utility functions
- Cross-analyze instrument data with the same instrument type or scientific workflow to design common data model components
- Build visualization, report, and dashboards using Streamlit, Tableau, Jupyter notebook, etc
- Drive value for the customers – test and make sure the solution fulfills their requirements and provides value
Requirements
What You Have Done
- Must have >3 years of experience in Python and SQL
- Must have a degree in biology or chemistry or relevant fields OR > 3 years of work experience in pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics
- Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus
- Passionate about data problems and using AI and LLM to come up with creative ideas
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery
- Quickly understand a highly technical product and effectively communicate with product management and engineering
- Proactive problem-solving skills
- High-bandwidth: thrives when managing multiple simultaneous projects
- Intellectually curious: Unwavering drive to learn and know more every day
- Ability to think creatively about how to solve project risks without reducing quality
- Team player and ability to \”roll up your sleeves\” and do what it takes to make the team successful
Benefits
- Competitive Salary and equity in a fast-growing company
- Supportive, team-oriented culture of continuous improvement
- Generous paid time off (PTO)
- Flexible working arrangements – Remote work
We are not currently providing visa sponsorship for this position
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Scientific Data Engineer employer: TetraScience
Contact Detail:
TetraScience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data acquisition strategies used in scientific lab instrumentation. Understanding the nuances of how different instruments output data will give you an edge during interviews, as you'll be able to discuss relevant experiences and insights.
✨Tip Number 2
Brush up on your Python and SQL skills, particularly focusing on data parsing and modelling. Being able to demonstrate your proficiency in these areas through practical examples or projects can significantly boost your chances of landing the job.
✨Tip Number 3
Gain hands-on experience with data visualisation tools like Streamlit, Tableau, and Jupyter Notebook. Having a portfolio of projects that showcase your ability to create insightful dashboards and reports will make you stand out to the hiring team.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. Be ready to share examples of how you've tackled complex data challenges in the past, as this role requires a proactive mindset and the ability to think creatively under pressure.
We think you need these skills to ace Scientific Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, SQL, and any relevant work in the pharmaceutical or biotech industry. Emphasise your skills in data engineering and analytics, as well as your familiarity with tools like Streamlit, Tableau, and Jupyter Notebook.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data problems and AI. Mention specific projects where you've successfully implemented data models or pipelines, and how you drove value for customers. This is your chance to showcase your communication skills and problem-solving abilities.
Highlight Relevant Experience: When detailing your work experience, focus on roles that involved scientific data engineering or analytics. Provide examples of how you designed data models, built pipelines, or created visualisations. Use metrics to demonstrate your impact where possible.
Showcase Your Curiosity: TetraScience values intellectual curiosity. In your application, mention any ongoing learning or projects that reflect your drive to understand complex data issues. This could include courses, certifications, or personal projects related to data science or AI.
How to prepare for a job interview at TetraScience
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to scientific data engineering or analytics.
✨Demonstrate Your Problem-Solving Abilities
TetraScience values proactive problem-solving. Prepare examples of challenges you've faced in previous roles and how you creatively resolved them, particularly in a scientific context.
✨Familiarise Yourself with Data Visualisation Tools
Since the role involves building visualisations and dashboards, brush up on tools like Streamlit, Tableau, and Jupyter Notebook. You might be asked to discuss how you've used these tools to present data effectively.
✨Communicate Clearly and Confidently
Excellent communication is key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to interact with both technical and non-technical stakeholders.
