Why ADAPT?

• Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modelling, personalisation, privacy & data governance. 
• Work with our interdisciplinary team of leading experts from the complementary fields of Social Sciences, Communications, Commerce/Fintech, Ethics, Law, Health, Environment and Sustainability.
• Leverage our success ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards.  ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained. 
• Develop skills in a fast-paced environment focused on cutting-edge technology innovation

As an ADAPT researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks, and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically, we offer: 

• Exposure and free access within a multi-disciplinary ecosystem across 8 leading Irish universities
• Opportunity to build your profile at international conferences and global events. 
• Fast-track your career through formalised training & development, expert one-on-one supervision, and exposure to top AI specialists

About Precision ALS

Precision ALS is a €10 million research programme involving researchers at the SFI Research Centres ADAPT and FutureNeuro along with the TRICALS Consortium, Europe’s largest ALS research initiative. National and International industry partners and charities including patient organisations are also actively participating.  Precision ALS will provide an innovative and interactive platform for all clinical research in ALS across Europe, that will then harness artificial intelligence (AI) to analyse large amounts of data. 

Precision ALS is a unique programme that brings together Clinicians, Computer Scientists, Information Engineers, Technologists, and Data Scientists. The researchers will work together with a number of companies including Biogen, Novartis, Takeda, IQVIA, Roche and Accenture to generate a sustainable precision medicine-based approach towards new drug development that will have many benefits including better clinical outcomes for patients and reducing the economic cost of these diseases.

On completion, Precision ALS will be a first-in-kind modular transferable pan-European ICT framework for ALS that can be easily adapted to other diseases that face similar precision medicine-related challenges.

About the role

• Develop a multi-faceted, production grade, health research software system using a variety of modern languages, technologies and frameworks.
• Execute the full software development lifecycle within an agile team, including:
  • Iteratively gather requirements from users and other stakeholders. 
  • Help prioritize requirements and plan development sprints.
  • Develop high quality, efficient and flexible code with automated testing.
  • Prepare for system deployment using modern VM and container-based approaches for both on-premises and cloud deployment.
• Improve your development and related skills on challenging high-impact project while having access to a wide range of training & development materials.
• Participate alongside leading experts in exciting project activities and events to further research in ALS. In the future this model will be used as a blueprint for other diseases.
• Contribute to the development of precision medicine-based approach towards new drug development that will have many benefits including better clinical outcomes for patients and reducing the economic cost of these diseases.
• You will build a strong network through opportunities to consult with internal and external stakeholders including industry and academic partners/collaborators.

Minimum qualifications

BSc. of Computer Science or equivalent working experience

Desirable

Knowledge of and/or a keen interest in one or more of the following areas:

• Front end development with focus on design and optimizing the user experience, using Kotlin for Android development and/or using React, SVG and/or D3 for Web development.
• Back-end REST-style API development, particularly in Java and/or Python.
• Scalable file / object storage technologies such as ZFS, S3 and/or CEPH and similar data lake approaches.
• Modelling of complex heterogenous datasets for structured storage within relational (e.g. Postgres, MySQL/MariaDB) and/or non-relational (NoSQL) databases (e.g. Mongo, Neo4j). 
• Information security including authentication, authorization, access control, encryption and key management techniques.
• Knowledge of health information modelling and/or interoperability standards, such as ISO13606, SNOMEDCT, ICD11, OpenEHR, or HL7 (2,3, FHIR).

Attributes

• Highly motivated.
• Ability to learn quickly.
• Attention to detail.
• Team Player.
• Strong communicator.
• Adaptable to changing requirements.

Benefits

Informal enquiries about this post should be made to Mr Anthony Bolger (anthony.bolger@adaptcentre.ie) and cc’ Ms Frances Gibbons (frances.gibbons@adaptcentre.ie)

Application Process

In order to assist the selection process, applicants should submit a Curriculum Vitae and a Cover Letter (1x A4 page) that specifically address the following points in their application via the following link https://forms.gle/kyn55pgYnhgJxePE8 

▪ Applicants should clearly address this experience and how they obtained their knowledge in their application.

▪ The applicant should give examples of how their previous developer experience equips them to deliver the role on PrecisionALS.

▪ Indicate which of the ‘desirable’ areas outlined above are most relevant for them.

▪ Illustrate, through past example, their ability to work on their own initiative and resolve problems. 

Diversity

ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT.