The Scientific Computing Cloud Engineer will be responsible for developing and deploying supercomputing solutions in AWS supporting R&D, Clinical, and Manufacturing teams globally. The successful candidate will be the primary High-Performance Computing (HPC) Cloud engineer. This role requires a deep understanding of both on-premises and cloud-based HPC systems, as well as strong project management skills. The ideal candidate will have a background in life sciences and computer science, with a focus on supporting computational biology applications and AWS engineering.

Key Responsibilities

• Develop and deploy automated HPC workloads and workflows using AWS cloud services, including Parallel Cluster, FSx for Lustre, Batch, Terraform,  and Cloud Formation.
• Manage high-performance parallel file systems such as Weka, understanding data and storage workflows, movement, tiering, and tracking.
• Act as the HPC data steward, ensuring data integrity and efficient data management practices.
• Design, implement, and manage cost effective on-premises and HPC Cloud systems, including job schedulers (e.g., Slurm) and cluster management tools (e.g., Linux scripting, Ansible).
• Architect and design HPC hardware and networking solutions, providing system troubleshooting and support for on-premises systems.
• Develop and maintain web portals and sites to facilitate HPC resource access and management.
• Lead and manage projects, ensuring timely and successful delivery of HPC solutions.
• Collaborate with cross-functional teams to align HPC strategies with organizational goals.
• Provide technical leadership and mentorship to junior engineers and team members
• Document, train, and educate users on best practices. Level 3 engineering support for most challenging technical issues.
• In this role, you will also be responsible for promoting a culture of excellence within the HPC team, fostering collaboration, innovation, and continuous improvement.

Qualifications

Basic Qualifications:

• Bachelor's degree (BA/BS) in Computer Science, Engineering, Life Sciences, or a related field.
• 7+ years of professional experience, with a significant portion of that time spent in HPC, cloud engineering, or a related discipline.
• Proven ability to understand and manage data and storage workflows, movement, tiering, and tracking.
• Experience with on-premises and Cloud HPC systems, including job schedulers (e.g., Slurm) and HPC tools (e.g., Linux administration, Ansible, AWS Batch).
• Strong understanding of cluster architecture, design, HPC hardware, and networking.
• Excellent system troubleshooting and support skills for HPC Cloud systems.
• Experience in supporting, deploying, and managing scientific applications (Linux/Windows)
• Strong project management skills, with the ability to lead and manage complex technical projects.
• Advanced certifications in AWS cloud services or HPC technologies.

Preferred Qualifications:

• Advanced degree in Computational Biology, Computer Science, or a related field.
• Extensive experience with AWS cloud services, particularly HPC services such as ParallelCluster, FSx for Lustre, Batch, AWS PCS, Terraform, and CloudFormation.
• Experience with high-performance parallel file systems like Weka, storage gateway, data sync.
• Experience in the life sciences field, particularly in computational biology.
• Familiarity with a variety of programming languages and tools used in high-performance computing, such as Python, Java, C++, MPI, R, R Studio, Jupyter Hub, Docker/Singularity and Spack.
• Excellent communication skills, with the ability to effectively convey technical information to a variety of audiences.

Work Location Assignment: Hybrid

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

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