Data Engineer - Analytics - Abingdon


Abingdon, GB / Oxfordshire, GB
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/30/2021
  • Website:
  • Company Address: 351 Rouse Boulevard , Philadelphia, PA , 19112

About Adaptimmune

Adaptimmune, a leader in T-cell therapy, is a multinational, clinical-stage biopharmaceutical company focused on developing novel immunotherapies using its proprietary SPEAR T-cell receptor platform to treat solid tumors, which has the potential to transform the treatment of cancer.

Job Description

The data engineer will make data accessible and usable for data scientists, analytics teams and decision makers to support down-stream scientific analysis and reporting. This will be through understanding the data landscape and onotologies required to identify reliable data sources and contributing to the data dictionary build. This is a highly technical role that blends traditional data engineering, data management, software development, analytics and bioinformatics. Scope includes:

  • Understand the vision, gather requirements and convert needs to technical / data specifications and data models
  • Hands-on technical design, coding / implementation, and operational support for every step of a data process
  • Working alongside data scientists, analysts, IT experts and stakeholders to define requirements and deliver solutions including but not limited to; build / scale data pipelines, data algorithms and production systems and solutions (using commercial packages and custom development)
  • Management of data flow from source through database to data presentation and/or delivery
  • Oversight of data processing platforms and tools (e.g. database, data transformation, and integration technologies) and front-end data visualization software (e.g. Spotfire)
  • Building of data schema and contributing to knowledge of the company’s data ecosystem (data models, flow diagrams, master data, metadata ontologies etc)

The data engineer will support fast paced ad-hoc data analysis, individual projects and longer-term enterprise-wide solutions.

Key Responsibilities

  • Analysis of business and analysis requirements
  • Hands-on data engineering and technical implementation activities including and not limited to:
  • Technical design, coding, transformation and operational support for every step of a data process
  • Working alongside data scientists, analysts, IT experts and stakeholders to build / scale data pipelines / algorithms (including tools to monitor performance and completion), and production systems and solutions (using commercial packages and custom development)
  • Create end user data visualization (traditional reporting and multi-modal data exploration)
  • Assemble large, complex data sets to support business needs
  • Building of data models, data flow diagrams and ontologies
  • Deploy sophisticated analytics programs, machine learning and statistical methods
  • Prepare data for predictive and prescriptive modelling
  • Data transformation, query, data science and bioinformatic pipeline and visualization techniques
  • Understanding of data ecosystem (including recommendation of ways to improve data reliability, efficiency, and quality)
  • Oversight of data processing platforms and tools (e.g. database, data transformation, and integration technologies) and front-end data visualization software (e.g. Spotfire)
  • Optimization of processing performance and data models
  • Production orchestration (pipelines/algorithms, performance, scale, infrastructure, data flow)
  • Data governance and data security best practices
  • Other duties as assigned by management in support of rapidly growing company


Qualifications & Experience


  • BSc or MSc degree in a relevant field, such as computer science, statistics, applied mathematics, computational biology, data management, data science, information systems, bioinformatics etc.
  • Unix, Linux, MAC command line expertise – strong experience on Debian/Ubuntu platforms Combination of experience in IT software engineering, data management and integration, and data visualization skills with data science or big data background
  • Familiar with specialised commercial and open source data visualization and analysis tools
  • Knowledge of relational database schema, primary/foreign keys, database queries
  • Demonstrated hands-on experience creating functional requirements, process maps, test plans and associated documentation



  • Prior experience in complex biotechnology and / or pharmaceuticals industry
  • Expertise in Next Generation Sequencing data and other bioinformatics tools
  • Prior experience implementing centralized integrated data and analytics tools
  • Prior experience as bioinformatician, biostatistician, biotech software programmer or data architect a plus


Skills & Compentencies


  • Strong and demonstrated software engineering experience using computational programming languages (i.e. R, Python, Java, C++), pipeline lifecycle tools, and popular database programming languages (ie. SQL, PL/SQL) for relational databases, operational data stores and data lakes
  • Hands on skills with pipeline, data visualization and analysis tools
  • Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data integration, data models, schemas and meta-data
  • Experience with integration of data from multiple data sources to support down-stream scientific analysis
  • Open source and commercial software package experience


  • An understanding of the principles of oncology / immuno-oncology
  • Outstanding communication, collaboration and partnering skills
  • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through tools such as Docker, AWS, etc.
  • Demonstrable experience of pipeline workflow tools as used in a life science environment
  • Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include ETL/ELT, data replication/CDC, message-oriented data movement, API design and access and upcoming data ingestion and integration technologies such as stream data integration, CEP and data virtualization.
  • Basic experience working with popular data discovery, analytics and BI software tools like Tableau, Qlik, PowerBI, etc. for semantic-layer-based data discovery and end user visualization
  • Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization.



At Adaptimmune we embrace diversity and equality of opportunity. We believe that the more inclusive we are, the better our work will be. We welcome applications to join our team from all qualified candidates, regardless of age, colour, disability, marital status, national origin, race, religion, gender, sexual orientation, gender identity, veteran status or other legally protected category. It is our intent that all qualified applicants will receive equal consideration for employment.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.