Job Specifications
Bicycle Therapeutics is a clinical-stage pharmaceutical company developing a novel class of medicines, referred to as Bicycle® molecules, for diseases that are underserved by existing therapeutics. Bicycle molecules are fully synthetic short peptides constrained with small molecule scaffolds to form two loops that stabilize their structural geometry. This constraint facilitates target binding with high affinity and selectivity, making Bicycle molecules attractive candidates for drug development. The company is evaluating zelenectide pevedotin (formerly BT8009), a Bicycle® Drug Conjugate (BDC®) targeting Nectin-4, a well-validated tumor antigen; BT5528, a BDC molecule targeting EphA2, a historically undruggable target; and BT7480, a Bicycle Tumor-Targeted Immune Cell Agonist® (Bicycle TICA®) targeting Nectin-4 and agonizing CD137, in company-sponsored clinical trials. Additionally, the company is developing Bicycle® Radioconjugates (BRC®) for radiopharmaceutical use and, through various partnerships, is exploring the use of Bicycle® technology to develop therapies for diseases beyond oncology.
Bicycle Therapeutics is headquartered in Cambridge, UK, with many key functions and members of its leadership team located in Cambridge, Massachusetts, US. For more information, visit bicycletherapeutics.com.
Culture is key and all Bicycle employees actively embrace and role model our company values:
We are Adventurous. We believe it’s the way to deliver extraordinary results for our patients.
We are Dedicated to our Mission. You can’t change the world if you don’t have determination.
We are One Team. We only succeed when we work together.
Job Description
THE ROLE
As our Technical Architect, your mission is to be an architect of our data ecosystem. You will design, build, and manage the robust, scalable data infrastructure, pipelines and data products to place our data at the heart of enabling our organisation. You will be a hands-on technical leader, personally ensuring that our teams, projects and data scientists have seamless access to high-quality, reliable data from a multitude of sources, empowering them to make better decisions faster.
YOUR RESPONSIBILITIES
Strategic Planning & Functional Leadership
You will help shape the technical priorities for our company-wide data architecture, surveying new technologies and recommending the best strategies for data ingestion, storage, and access.
You will act as a thought leader in data engineering, championing best practices for data pipeline development, automation, and data governance across the organisation.
Operational Delivery & Process Management
You will personally lead and execute the design and implementation of scalable ETL/ELT data pipelines, consuming and wrangling data from various internal and external sources (e.g., APIs, databases, file systems).
You will manage the flow of complex data from its source into our central data stores, ensuring it is clean, structured, and ready for analysis.
You will develop innovative solutions to complex data integration challenges, implementing tools and processes that automate data delivery and ensure reliability.
You will build outstanding data products to bring data to life, supporting insight generation and decision making.
Business Partnership & Stakeholder Engagement
You will act as a key partner across our business, deeply understanding their data access, integration, and quality needs.
You will build collaborative relationships across the wider technology and business teams to ensure new data sources are integrated smoothly and efficiently.
Data, Reporting & Compliance
You will ensure data quality, governance, and integrity across all data pipelines, implementing robust monitoring and validation checks.
You will promote best practices by creating and maintaining clear documentation for data models, pipeline architectures, and operational procedures.
Qualifications
WHO YOU ARE: SKILLS & COMPETENCIES
Knowledge
Core Expertise: You demonstrate strong expertise in data engineering, cloud architecture, and data pipeline automation, providing technical direction to others as required.
Data / Insight: You translate complex scientific data sources into efficient data models and reliable pipelines, ensuring data is optimized for analysis and consumption.
Knowledge Sharing: You promote best practice in data engineering, data modelling, and cloud architecture across the team and function.
Job Complexity
Task / Project Delivery: You manage complex data engineering projects with multiple stakeholders, from initial architectural design through to production deployment and maintenance.
Problem-Solving: You anticipate challenges in data integration and scalability, developing creative and robust architectural solutions.
Strategic Impact: You shape the data architecture roadmap for our research platforms, directly enabling our R&D and data science efforts.
Independence
Autonomy: You operate independently in am