This Senior Development Manager role is a newly created leadership role accountable for providing oversight and direction to a variety of development efforts to ensure our Software products are reliable, scalable, maintainable, and to meet the needs of client groups.
This employer is a not-for-profit company that helps medical research teams manage, share and analyze their complex data. These data management platforms provide researchers with:
Comprehensive, scalable data platform architecture consisting of interoperable tools for managing medical research data, deployable in diverse environments e.g., hospital infrastructure, public cloud, private cloud.
Sophisticated governance, security and privacy expertise, processes and architecture
Integration of high performance computing and petascale storage resources
QA/QC and monitoring of study data collection
Pre-processing and analytics pipelines for imaging, molecular and other data types
Expertise in establishing and implementing data standards including common data elements, ontologies, SOPs and best practices
Web data portals providing powerful data discovery, visualization, query interfaces
Collaborative, open source development environment
Future medical advances will depend upon the ability to integrate and analyze large volumes of complex data from diverse sources.
Although many platforms have been built, most are available only to a subset of researchers, typically because they were designed to meet the needs of a particular research team, as opposed to attempting to service the broader research community.
Our Client believes that the solution lies with an “informatics ecosystem”, in which sharing of software development and data science resources and open source strategies are encouraged through mutually beneficial collaborations. Instead of trying to build “one size fits all” platforms, we make existing platforms interoperable, such that researchers can use the tools they want and it is the outputs that are federated.
Liaise with stakeholders, data providers, and user groups in defining business requirements for the incoming data including availability, utilization, and restrictions
Work with the operations and development teams to translate business requirements towards products and services that meet the needs of engaged stakeholders, based on robust, best-of-breed technologies and standards that ensure compliance, scalability, and reliability.
Develop and deliver strategic technological vision and direction; Lead and manage the development teams to deliver Software, infrastructure and architecture.
Work with Product Manager to define the priorities and release plans, to ensure the on-time, to-quality delivery that is consistent with Agile processes.
Create, implement, and maintain a continuous improvement plan for Software development and its underlying infrastructure.
Ensure effective and transparent internal communications both within the development team and across the organization.
Mentor developers to implement best practices to motivate and organize the team.
Your first year’s deliverables:
You will have led development efforts, gaining a thorough understanding of the grand vision of the product, development roadmap, system architectures and service components, being able to consistently improve and refine the development processes.
You will have integrated into the organization effectively and be viewed as a thought leader and subject matter expert amongst internal and external stakeholders.
What you bring to us:
The ideal candidate is a data and research driven individual with the ability to lead, manage and direct teams and clients to effective and efficient outcomes.
You should have at least 3 years’ experience in Software development management ideally gained in a R&D or start-up setting.
A leader with a desire to make a difference, the ideal candidate will thrive in a purpose driven culture where team successes are celebrated.
10+ years Software Development experience and 3+ years’ experience with Software Engineering leadership at a fast-growing organization with distributed development teams.
Intimate knowledge of the best engineering practices, including SDLC, system architecture (Microservice in particular) and design pattern, release planning, deployment, QA, version control, and code review.
Strong experience in designing and architecting data intensive systems with high availability, scalability and resilience.
Solid working knowledge of data ingestion flow, Data Lake and Object Storage, Data Warehouse, data modelling in RDBMS and NoSQL, event sourcing, and distributed transaction strategy.
Strong experience with Python-based RESTFul API frameworks such as FastAPI.
Ability to adopt, augment a wide variety of open-sourced technologies.
Experience in health and/or research data management and knowledge of data management standards and best practices
Broad knowledge of research data platforms, and related products services, technologies, standards, and operating models.
Strong written and oral communication skills.
Excellent analytical and organizational skills and superior attention to detail.