At a Glance
- Tasks: Lead technical enablement and developer relations for a cutting-edge scientific data platform.
- Company: Join TetraScience, a leader in scientific data and AI innovation.
- Benefits: Competitive salary, equity, generous PTO, and flexible remote work options.
- Other info: Collaborate with top tech partners and grow a vibrant developer ecosystem.
- Why this job: Make a real impact in the biopharmaceutical industry with your expertise in data and AI.
- Qualifications: Experience in life sciences, technical enablement, and strong coding skills in SQL and Python.
The predicted salary is between 70000 - 90000 £ per year.
TetraScience 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. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth.
Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience's Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You'll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs.
You'll set the strategy for EU developer experience and community, including partners, customers, and independent developers; this role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions.
Scientific & Domain Expertise- Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles
- Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders
- Able to code and build practical solutions using scientific data platforms, pipelines, and apps
- Translate complex technical problems into working implementations within a pharma context
- Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences
- Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders
- Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements
2+ years professional experience in a Life Sciences company and/or a scientific background
~3+ years professional experience as data scientist, scientific data engineer, or solutions architect
~2+ years professional experience in technical enablement and/or developer relations
~Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies
~Ability to travel regularly to customer locations and whiteboard the product strategy with them
~Experience with data governance, privacy, and compliance considerations
~Experience at high-growth SaaS companies with complex data needs
Previous experience within a biopharma company in an IT related function is a big plus
Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience
Familiarity with enterprise sales processes within the pharmaceutical sector
Experience with AWS application stack
Competitive Salary and equity in a fast-growing company. Generous paid time off (PTO). Flexible working arrangements - Remote work.
Locations
Remote Technical Enablement & Developer Relations Lead in Cheshire, Warrington employer: TetraScience
TetraScience is an exceptional employer that fosters a supportive and team-oriented culture, perfect for those passionate about scientific data and AI technologies. With generous paid time off, flexible remote working arrangements, and a commitment to continuous improvement, employees are empowered to grow and thrive in their careers while making a meaningful impact in the life sciences sector. Join us to be part of a dynamic team that values innovation and collaboration, driving advancements in scientific intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Technical Enablement & Developer Relations Lead in Cheshire, Warrington
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We think you need these skills to ace Remote Technical Enablement & Developer Relations Lead in Cheshire, Warrington
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!
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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.
