At a Glance
- Tasks: Lead a team to build innovative data solutions and drive impactful projects.
- Company: Join TetraScience, a pioneering company in scientific data and AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture focused on transparency, trust, and customer success.
- Why this job: Make a real difference in scientific outcomes while working with cutting-edge technology.
- Qualifications: Experience in data engineering and strong leadership skills required.
The predicted salary is between 66150 - 80850 £ per year.
Tetra Science is a Scientific Data and AI company with a mission to radically improve and extend human life.
Tetra Science combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes.
Tetra Science is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one.
We are looking to add high-performance team members that authentically and unconditionally embrace our values: Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.
Trust and Collaboration - We believe there can only be trust when there is transparency.
We are committed to always communicating openly and honestly.
Fearlessness and Resilience - We proactively run toward challenges of all types.
We embrace uncertainty and we take calculated risks.
Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
Commitment to Craft - We are passionate missionaries.
We sweat the details, as the small things enable the big things.
Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.
What You Will Do You will be leading a team of Scientific Data Engineers (SDE) and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer.
We are looking for a data engineering leader who is experienced, hands-on, and can also provide mentorship to junior team members.
As a tech lead/manager, you should be comfortable managing engineering tasks, leading internal design sessions, implementing solutions, and driving projects to final production releases.
You will work directly with cross-functional teams like Product Managers, Scientific Business Analysts, and Solution Architects to gather business and data design objectives, resulting in production-based solutions.
You will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.
Our success is defined by collaboration.
You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.
Own project delivery.
Lead a team of SDEs.
Supervise their career growth and performance.
Work with cross-functional teams to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
Take ownership of building data models, data pipelines, and data applications that drive customer success.
Use LLM to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R
Tech Lead, Scientific Data Engineering & AI employer: TetraScience, Inc.
TetraScience, Inc. is an exceptional employer that fosters a remote-first work culture, allowing you to balance your professional and personal life while contributing to groundbreaking advancements in Scientific AI. With a strong emphasis on employee growth, TetraScience offers opportunities for continuous learning and development, alongside the chance to engage directly with clients and tackle real-world scientific data challenges. Join a team that values innovation and collaboration, where your contributions will have a meaningful impact in the biopharma industry.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead, Scientific Data Engineering & AI
✨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, Inc.!
✨Show Off Your Projects
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 Tech Lead, Scientific Data Engineering & AI at TetraScience, Inc..
✨Leverage Professional Networks
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, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Tech Lead, Scientific Data Engineering & AI at TetraScience, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Tech Lead, Scientific Data Engineering & AI
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, Inc., 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, Inc.. 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, Inc.
✨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, Inc.!
✨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.
