Why Patients Need You

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.

What You Will Achieve

You will help Pfizer build its information technology solutions. You will leverage your technical skills to design, develop and implement IT solutions which satisfy the short term or long terms needs of Pfizer. You will work on systems architecture, network systems and application infrastructure to deliver results.

As a Senior Manager, your advanced knowledge of the principles and concepts in the discipline and comprehensive knowledge of other disciplines will enable you to lead complex projects across the division. Your ability to develop and manage plans will facilitate in achieving objectives, interpreting internal and external business challenges and recommending best practices for improvements. While managing complex project environments, you will be able to anticipate and troubleshoot roadblocks and influence teams to achieve targets for the division.

It is your hard work and dedication that will help in making Pfizer ready to achieve new milestones and help patients across the globe.

Job Summary: 

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

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