At a Glance
- Tasks: Lead technical partnerships and deliver impactful solutions for pharmaceutical and biotech customers.
- Company: Join TetraScience, a leader in Scientific Data and AI revolution.
- Benefits: Enjoy competitive salary, equity, generous PTO, and flexible remote work options.
- Other info: Collaborative culture focused on continuous improvement and career growth.
- Why this job: Be at the forefront of AI-driven scientific innovation and make a real difference.
- Qualifications: 5+ years in Life Sciences with strong technical architecture and sales support experience.
The predicted salary is between 54000 - 84000 £ per year.
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We are the category leader in this vital new market, generating more revenue than all other companies in the aggregate.
In connection with your candidacy, you will be asked to review the Tetra Way letter, authored by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in understanding whether TetraScience is the right fit for you from a values and ethos perspective.
What You Will Do
- Providing a strategic technical partnership with Customers, bridging the gap between business objectives and technical execution.
- Be the primary technical leader for scientific end-users to design, architect, and deliver impactful solutions to pharmaceutical and biotech customers.
- Understand scientists' and R&D IT analysts' needs, analyze their data environment, assist in the design and implementation of our solutions, and enable customers to achieve faster ROI, reduced risk, smoother scaling, and accelerated product adoption.
Key Responsibilities
- Primary technical point of contact across strategic accounts.
- Lifecycle engagement & adoption acceleration from presales to delivery.
- Technical health & risk management.
- Strategic planning and stakeholder management across sales, product management, and engineering teams.
- Sales enablement & growth support.
- Deep and wide technical and science senior relationships.
Value Delivered to Customers
- Accelerate time to value.
- Improve stability & uptime.
- Strategic roadmap alignment.
- Prioritized support & faster resolutions.
- Higher ROI through continuous optimization.
Commercial Acumen & Sales Enablement
- Support growth through hands-on sessions and enablement presentations.
- Showcase tailored demonstrations to prospects.
- Map business requirements to technical solutions.
- Determine potential return on investment for proposed solutions.
- Cultivate relationships with clients, sales teams, and technical teams.
- Collaborate with clients and sales teams to reach beneficial agreements.
Technical Account Leadership
- Develop a deep understanding of the company's product or service offerings.
- Design and showcase tailored demonstrations to prospects.
- Contribute to RFPs / RFIs with detailed technical specifications and solutions.
Project Management
- Ensure projects are kept on track and within scope.
- Coordinate with various stakeholders to ensure the smooth flow of presales activities.
Requirements
- Scientific background academic and/or 5+ years professional experience in Life Sciences.
- Senior Technical Architecture experience.
- 5+ years Commercial tech sales support R&D IT OR Data & Informatics.
- Data Modeling: Understand logical, physical, and conceptual.
- Scripting and Database Systems: Proficiency in Python, cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks).
- Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions.
- Cloud Platforms: Experience with cloud providers mainly AWS, Azure, Google Cloud.
- Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools.
- Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements.
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.
Senior PreSales Solution Architect, United Kingdom in Maidenhead 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 Senior PreSales Solution Architect, United Kingdom in Maidenhead
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We think you need these skills to ace Senior PreSales Solution Architect, United Kingdom in Maidenhead
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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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!
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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.
