At a Glance
- Tasks: Join TetraScience to engineer advanced data solutions for biotech and pharmaceutical companies.
- Company: TetraScience, a leader in scientific data and AI innovation.
- Benefits: Competitive salary, equity, and generous paid time off.
- Other info: Dynamic role with growth potential in a collaborative team.
- Why this job: Make a real impact in life sciences with cutting-edge technology and mentorship opportunities.
- Qualifications: Experience in data engineering, Python, and familiarity with biotech environments.
The predicted salary is between 72000 - 88000 £ per year.
About Tetra Science
Tetra Science is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence.
We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing.
Tetra Science’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
What You Will Do
You will join Tetra Science's forward deployed teams as a senior, hands-on engineer.
In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines.
You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe.
You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.
- Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers.
Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.
- Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and Type Script.
- Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as . xlsx, . pdf, . txt, . raw, . fid, and many other vendor binaries.
- Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.
- Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
- Lead process and technology improvements supporting product quality, developer experience, and platform capabilities.
- Provide mentorship to junior scientific data engineers and show leadership on every front.
Requirements
We hire Sciborg team members with potential, passion, and values alignment, not just a checklist of requirements.
If you have related skills and a desire to learn, we want to hear from you.
- Demonstrated history building and delivering data products, integrations, and scientific applications as a Data Engineer or in a similar field.
- Expertise in Python and working knowledge of Java Script, Type Script, Node, React, SQL.
- Familiarity with networking, CI/CD, and full stack development.
- Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and Cloud Watch.
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as Gx P.
- Experience working with non-clinical data and lab scientists.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- History leading customer‑facing implementation projects across cross‑functional teams, managing requirements, timelines, and delivery outcomes.
Benefits
- Competitive Salary and equity in a fast-growing company.
- Generous paid time off (PTO).
- We are not currently providing visa sponsorship for this position
Senior Scientific Data Engineer employer: TetraScience
TetraScience is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about Data and AI technologies. With a strong focus on employee growth, TetraScience offers opportunities for continuous learning and development, ensuring that team members can thrive in their careers while contributing to meaningful advancements in the life sciences sector. Located in the heart of the EU's tech landscape, employees benefit from a vibrant work environment and the chance to engage with leading industry partners, enhancing both personal and professional experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Scientific Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TetraScience!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Scientific Data Engineer at TetraScience.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TetraScience.
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We think you need these skills to ace Senior Scientific Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TetraScience, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TetraScience. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TetraScience
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TetraScience!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
