Offers “IBM”

43 days agoIBM

Research Software Engineer, Enablement & Education

  • London (Greater London)
  • IT development

Job description

IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.

Your Role and Responsibilities
The work location for this role is either Daresbury Labs or Hursley Labs for a minimum of 2 days a week.

You will be part of a highly motivated and skilled team incubating a new business for IBM with the goal of accelerating science and societal impact, focusing especially in chemistry, materials, biomedical sciences, climate, and sustainability. A Research Software Engineer focusing on Enablement and Education collaborates with scientists, engineers, product management, and other team members to enable the ecosystem of effective users on our technologies that drive accelerated discovery and translation to business impact.
In particular,
• You will lead efforts to strategically activate in areas focused on education, workforce development, and skills-based programs with clients
• You will design, produce and deliver compelling technical education and enablement programming and content, from blogs and explainer videos, to online learning and virtual tutorials, all the way to hands on technical workshop facilitation
• You will need technical skills to be credible when engaging with our stakeholder communities. This will come from your experience of building innovative solutions using any of our preferred technical skills.
• You will be a strong collaborator, working with other members of a global team, to create high-quality, thought-provoking, engaging. and accessible educational and enablement content for research applications, toolkits, and platform releases
• You will enable collaboration and communication across global teams to ensure successful content delivery and program implementations for a variety of audiences and skill levels
• You will analyse data and feedback from client interactions to plan strategies for program improvements, and provide strategic insights to support iteration of content and program development
• You will support our business development team and recognize opportunities to involve clients more deeply in our research, as well as identify pertinent use-case examples that will resonate with clients from diverse sectors
• You will have the opportunity to work with our other Discovery Accelerators around the world, to influence and learn from their best practice, and apply your educational initiatives to partners and communities around the world

Required Technical and Professional Expertise
• BS/BA degree in a technical field, or equivalent experience.
• Experience creating and delivering learning plans and educational content.
• Experience in a professional software engineering role.
• Demonstrated ability to organize, prioritize, and multi-task in a fast paced, changing, and agile development environment to meet deadlines.
• Effective written and verbal communication and interpersonal skills.
• Demonstrated ability to comprehend technical research papers, find the story, and communicate it to non-experts.
• Strong organizational management abilities.

Preferred Technical and Professional Expertise
• Experience creating technology education curricula and programs
• Experience with Moodle based Learning Management Systems.
• Experience developing software with Python, Jupyter Notebooks, Git, Go, or JavaScript/TypeScript and their ecosystems of tools and libraries.
• Experience with cloud-native environments, such as AWS (S3, lambda, CloudTrails, etc) or other cloud vendors.
• Experience with Kubernetes.
• Experience with DevOps in a Software as a Service (SaaS) environment.
• Experience in a data science or data engineering environment.
• Experience with AI/ML, Quantum Computing, or High Performance Computing (HPC) technologies in practice.
• Experience in scientific research or software engineering for research.
• Experience using relational database management systems (such as Airtable).

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