Scientific Computing Consultant Jobs (NOW HIRING)

Job Overview:

Pay Range: $62hr - $75hr

Requirement/Must Have:

• Bachelor’s degree in life sciences, computer science, informatics, engineering, or a related field, or equivalent work experience.
• At least 2–3 years of experience in a research computing, IT, or data-intensive environment in a role that included coordination of technical work and direct interaction with stakeholders.
• Familiarity with Linux-based or HPC computing environments (e.g., clusters, cloud-based research platforms, or large-scale analytic environments).
• Strong communication skills, with the ability to interact effectively with researchers, IT staff, and compliance officers.
• Demonstrated experience organizing and tracking multi-step technical or data-related projects, including documenting tasks, timelines, and status.
• Proven organizational skills and attention to detail, including maintaining accurate records and following structured processes.

Responsibilities:

• Work closely with other members of the Research Computing team, IT infrastructure teams, and Compliance officers to ensure consistent integration of security requirements into research workflows.
• Provide ad-hoc project management, including tracking progress, timelines, and deliverables, while facilitating communication across teams.
• Facilitate operational standups to ensure tasks are assigned, executed, and documented in a timely manner.
• Develop, maintain, and continuously improve standardized onboarding checklists, process documentation, and runbooks for secure research workflows.
• Engage with PIs and researchers to gather detailed requirements for data, computational resources, and workflows to be onboarded, maintained, or optimized in the secure environment.
• Document and analyze existing workflows, identifying opportunities for optimization and ensuring security compliance during migration to the secure environment.
• Lead and coordinate the onboarding process for new research projects into the secure HPC environment, working closely with the RC team, IT departments, and Compliance officers.
• Track the progress of each research project’s onboarding, resolving blockers and collaborating across teams to ensure a smooth and timely transition.
• Work with the labs, RC team, and IT staff to identify and import/export research data into the secure HPC environment.
• Coordinate and, where appropriate, perform installation, configuration, and optimization of necessary scientific software, tools, and computational pipelines while ensuring compliance with relevant security controls.
• Provide training and support for researchers using the secure HPC environment, helping them understand security protocols and effectively use the resources available.
• Create and maintain user-facing documentation (e.g., onboarding guides, FAQs, quick reference materials) to support self-service and consistent practices.
• Collect feedback from users and stakeholders and incorporate it into continuous improvement of processes and documentation.
• Troubleshoot and provide technical support related to research computing, security compliance, and data migration in the secure environment, escalating issues appropriately.

Nice to Have:

• Familiarity with security and compliance frameworks relevant to research data (e.g., NIST 800-171, NIST 800-53, FISMA, HIPAA, data use agreements, IRB requirements).
• Experience with secure research environments, especially in healthcare, academic, or regulated settings (e.g., controlled-access data enclaves, restricted HPC clusters, or secure cloud environments).
• Bioinformatics or life sciences research experience.
• Consulting, facilitation, or customer success experience in research, academic, or healthcare environments, including leading meetings and managing expectations.
• Knowledge of high-performance computing tools and systems (e.g., SLURM job schedulers, modules, workflow managers).
• Ability to quickly adapt to new technologies and manage multiple projects simultaneously.
• Advanced science or engineering degree preferred.
• Experience with data migration, scientific software installation, or HPC is a plus.