DevOps Engineer

Who We Are

Bio Marin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.

Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.

Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.

The Bio Marin R&D IT team seeks a highly talented and motivated Dev Ops Engineer to support Bio Marin's Research and Data Sciences teams. The successful candidate will have the opportunity to partner closely with both IT professionals and scientists from multiple groups across the organization. They will play a key role in evaluating, designing, developing, and maintaining computational infrastructure and platforms used for analytics pipelines, scientific research projects, and clinical data analysis.

A strong candidate will have a successful track record implementing, maintaining, and/or working with shared data science or bioinformatics platforms using Dev Ops processes in cloud Linux ecosystems. Experience with pharmaceutical/biopharmaceutical fields would be a plus.

Bio Marin is a high-performing, team-based organization, where colleagues are flexible, multi-skilled and empowered to make decisions. Applicants must bring a high level of initiative, energy and motivation to the role and have excellent communication and organizational skills.

• Facilitate the delivery of computation platform resources to a diverse R&D department by leveraging modern Dev Ops processes and tooling, promoting collaboration among users, and empowering user autonomy.
• Develop, implement, and document flexible, user-centric cloud platform solutions within the data science, bioinformatics, and computational science space that encourage user freedom while adhering to corporate security, governance, and compliance standards.
• Proactively identify and mitigate existing technical debt while minimizing further accumulation, fostering a culture of effective resource management and sustainable engineering practices.
• Closely manage and own the complete system development lifecycle for data science and bioinformatics applications, ensuring seamless design, development, testing, deployment, and ongoing support, while maintaining industry best practices and regulatory guidelines.
• Proactively engage with scientists and researchers to facilitate the adoption and deployment of future bioinformatics tools, fostering a cutting-edge environment and optimizing research efforts through continuous exploration and evaluation of innovative solutions.

• 5+ years of experience implementing and managing Linux-based systems and solutions, especially HPC environments.
• 5+ years of experience designing, deploying, and maintaining cloud IaaS and PaaS services in Azure and/or AWS.
• 5+ years of experience using languages such as Python, Bash, and Power Shell; developing scripts and automation, writing unit/integration tests, and following test-driven development processes.
• Strong knowledge of cloud-based compute, storage, and database workload architectures – authentication/authorization, service connections, resourcing, monitoring, and data flows.
• Extensive familiarity with Git-based source control management tools like Git Hub, Git Lab, and Azure Repos.
• Demonstrated experience designing and implementing CI/CD pipelines for testing and deploying infrastructure and applications through tools such as Git Hub…