Company: Elsevier
Position: Software Engineer III (cheminformatics, Java) (m/f/d)
Location: Frankfurt am Main, hybrid
About Reaxys
Reaxys is a comprehensive and powerful cloud hosted and deep-tech data searching tool that is used by thousands of chemists, researchers and students throughout the world to retrieve chemistry patents, chemical reactions, substance data and other related chemistry information using a highly performant chemical structure search engine. Supported by continuous updates and robust taxonomies, Reaxys can be searched using natural language, drawn chemical structures, formula, physical property parameters and more. Trusted for over 30 years by large pharma, innovative startups, large tech, private and public sector research hubs and universities alike, Reaxys is a partner to the pharma, medicinal chemistry and chemical industries.
About the Role
The Reaxys team at Elsevier is seeking a skilled Software Engineer with experience in developing Java-based distributed systems over Kubernetes with a background in natural sciences. The candidate should be comfortable working with machine learning or search workloads at scale and is open to embracing and adjusting to the evolving software engineering landscape being driven by the augmentation of AI tools.
Joining our team will offer you the opportunity to enhance your skills and build your career within a team with diverse skills that is spread across China, India, Europe, the UK, and the US. We offer a flexible hybrid working environment.
Education & Experience:
3+ years of Software Engineering experience
An academic degree with a focus on Natural Sciences is preferred.
Degree in Computer Science engineering or equivalent are also encouraged.
2+ years of hands-on Java development, preferably Java 17 and above.
Your Responsibilities:
Architect and develop distributed systems over Kubernetes.
Write code and automated tests to match detailed user stories.
Actively participate and lead the discussions in your area of expertise.
Proactively share knowledge and mentor team members in your area of expertise.
You should bring:
Strong understanding of cheminformatics concepts.
Experience of working with Spring ecosystem along with Kubernetes.
Familiarity with cheminformatics software such as RDKit or Chemaxon
Highly developed problem-solving skills within the Life science domain
Proven ability to strategize & learn different software frameworks & technologies.
Fluent oral & written English along with the ability to communicate complex topic to non-technology stakeholders.
Work in a way that works for you :
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.
Working remotely from home or in our office in a flexible hybrid style
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
If you are a highly motivated individual with a passion for driving product excellence and have the skills and experience required for this role, we would love to hear from you. Join our team and contribute to the continued success of Reaxys.
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What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care.
Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems.
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
