As the Technical Platform Product Manager you will drive the implementation of informatics components of our new Life Sciences platform.
Your key task will be to manage the delivery of AI / machine learning capabilities from e.g. NLP in ingest, through knowledge graph enhancement to our "AI environment" supporting data scientists.
You will work closely with the agile development teams delivering the platform, providing day-to-day direction and prioritisation.
You will also work closely with the Platform Product Manager to ensure coordination across the program. This role requires a solid foundation in data science in the life sciences and agile product management.
As the Technical Product Manager you will play a key role in the success of this strategic initiative. This role reports to : Head of Life Sciences Platform Solutions.
You will be based in London. On this role, you will be responsible for following areas :
Product Management - Utilise your knowledge of life sciences data science to build and maintain a prioritised backlog aligned with the overall platform development strategy.
Data Governance Work with data modellers to ensure that the semantic models in the platform are optimised for the life science domain and interoperability with customer data and systems.
Ensure data enrichment capability development is in line with platform goals
Data Science - Lead the development of tools for programmatic access to content on the platform : including visual analytics, AI / Machine learning environments and predictive tools
Stakeholder Management & Communication - Lead, manage and collaborate with cross-functional teams, business partners and stakeholders to ensure that competing priorities are identified, resolved and communicated across the organisation
In order to be successful on this role, your background will be mix of following :
Life Sciences informatics, e.g. chemi-informatics or bioinformatics.
Strong background in semantic technologies and ontologies.
Strong interpersonal skills, strong time management & organizational skills.
Good communicator & influencer.
Fluent spoken and written English
Experience in data science in a life sciences environment