About the Role
The role involves designing, implementing, and optimizing software solutions for scientific computing challenges, working closely with researchers to translate complex algorithms into efficient, scalable code.
Responsibilities
- Design and build software systems for scientific computation and data analysis
- Collaborate with research teams to understand computational needs and constraints
- Develop and maintain high-performance code in languages such as Python, C++, or Fortran
- Optimize algorithms for efficiency and scalability across computing platforms
- Implement and support data pipelines for processing large-scale datasets
- Ensure software reliability through testing, debugging, and documentation
- Integrate software with existing research workflows and infrastructure
- Support version control and collaborative development using Git or similar tools
- Contribute to grant proposals and project planning as needed
- Stay current with advancements in computational methods and software engineering
Nice to Have
- Advanced degree in a computational or physical science discipline
- Experience with parallel computing frameworks such as MPI or OpenMP
- Background in machine learning or statistical modeling
- Familiarity with containerization tools like Docker or Singularity
- Experience with workflow management systems
- Contributions to open-source scientific software projects
- Knowledge of data visualization techniques
- Experience working in academic or research laboratory settings
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work environment with flexible scheduling options
Team
Collaborative research environment within a leading academic institution
Application Instructions
- Submit a resume, cover letter, and contact information for three professional references
- Applications will be reviewed on a rolling basis until the position is filled
Equal Opportunity Employer
- The institution values diversity and is committed to inclusive hiring practices
- Applications from underrepresented groups in STEM are strongly encouraged
Available for qualified candidates
