HPC Engineer (Remote, Contract)

For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. As the world’s largest RCO (Research Consulting Organization), ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners’ most high-profile drug and device programs.

Key Responsibilities:

• Deploying new applications and services to private or public cloud, using IaC, configuration management and CI/CD

• Oversee operational support for the platform and deployed services, including direct engagement with end-users

• Drive problem investigation and resolution for complex incidents.

• Maintaining scientific workflows, built on the platform with opensource software or vendor partnerships.

• Managing the infrastructure aspects of the configuration, implementation, and support of the platform and GitHuB workspace in the cloud.

• Manage monitoring and responses to service alerts and events in a timely manner.

• Implementing best practices to optimize efficiency and reliability.

• Maintaining documentation and providing technical guidance and support to team members.

Required Qualifications:

• Bachelor's degree or higher in a quantitative or engineering field (computer science, bioinformatics, engineering, among others); OR equivalent work experience

• Hands-on experience operating and/or engineering large-scale computing environments such as HPC, HTC or BC, preferably Life Sciences (e.g. Pharmaceutical Industry, BioTech)

• Understanding of Linux system administration, the TCP/IP stack, and storage subsystems

• Operation and configuration of public cloud computing infrastructure (preferably AWS)

• Scripting using Bash and Python

• Test driven development, and testing frameworks such as pytest, testinfra, reframe HPC

• Configuration management tools (e.g. Ansible, salt, puppet)

• Conda package management

• Container technology and container schedulers (e.g. Docker and Singularity, Nomad and Kubernetes)

• CI/CD GitHub/GitLab Actions

• Observability stack such as Grafana, Prometheus, ELK.

• Experience with application profiling and performance tuning

• Experience of using analytical tool: Nonmem, R, R-Studio, MATLAB, Monolix etc.