Principal Computational Scientist

Placements24; Randburg; Hybrid; ZAR 1,959,000 - 3,428,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

Comprehensive benefits package

Flexible remote work

Career development

Job summary

Placements24 invites applications for a Principal Computational Scientist to join our remote R&D organization. The role drives data-driven decision making by building and applying advanced computational models across diverse scientific disciplines, leading multi-disciplinary projects and mentoring junior scientists.

You will collaborate with experimentalists and engineers to define requirements, design simulations, and communicate findings to stakeholders through presentations and reports,

Qualifications

• PhD in a quantitative field.
• 10+ years of experience with computational models and advanced analytics.
• Proficiency in Python, C++, or Fortran.
• Experience with HPC and cloud platforms is desirable.

Responsibilities

• Develop, implement, and validate sophisticated computational models and algorithms to address complex scientific challenges.
• Lead the analysis of large, multi-modal datasets, identifying key trends, patterns, and insights.
• Collaborate closely with experimental scientists and engineers to define project requirements and interpret results.
• Mentor and guide junior computational scientists and data analysts, fostering their technical growth.
• Design and execute simulation studies to predict system behavior or optimize experimental designs.
• Communicate findings and recommendations effectively to technical and non-technical stakeholders through presentations and reports.

Skills

Python

C++

Fortran

Machine learning

HPC

Data visualization

Cloud platforms

Education

PhD in quantitative field

Tools

NumPy/SciPy

TensorFlow

Job description

About the Role

Our client is seeking a highly accomplished Principal Computational Scientist to join their innovative research and development organization, operating in a fully remote setting. This senior role is pivotal in driving data-driven decision-making across multiple scientific disciplines by developing and applying advanced computational models and algorithms. You will lead complex data analysis projects, mentor junior scientists, and collaborate with interdisciplinary teams to extract meaningful insights from large and diverse datasets. The ideal candidate possesses a deep understanding of computational modeling, statistical analysis, and machine learning, coupled with a passion for applying these skills to solve challenging scientific problems and contribute to groundbreaking discoveries from anywhere.

Key Responsibilities

• Develop, implement, and validate sophisticated computational models and algorithms to address complex scientific challenges.
• Lead the analysis of large, multi-modal datasets, identifying key trends, patterns, and insights.
• Collaborate closely with experimental scientists and engineers to define project requirements and interpret results.
• Mentor and guide junior computational scientists and data analysts, fostering their technical growth.
• Design and execute simulation studies to predict system behavior or optimize experimental designs.
• Communicate findings and recommendations effectively to technical and non-technical stakeholders through presentations and reports.

Requirements

• Ph.D. in Computational Science, Physics, Applied Mathematics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 10 years of experience in developing and applying computational models and advanced analytical techniques.
• Expertise in programming languages such as Python, C++, or Fortran, and proficiency with scientific computing libraries and frameworks.
• Strong background in numerical methods, statistical modeling, machine learning and data visualization.
• Experience with high-performance computing (HPC) environments and cloud platforms is highly desirable.
• Exceptional problem-solving, analytical, and communication skills, with a proven ability to lead projects in a remote environment.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive benefits package including health, dental, and vision insurance.
• Significant opportunities for career advancement and professional development.
• Flexible, fully remote work arrangement promoting work-life balance.
• A challenging and rewarding work environment focused on scientific innovation and impact.