position or located outside of U.S. Preferred Qualifications 2+ years of recent experience with statistical programming using SAS. 2+ years of recent experience writing Python/R. Experience with cloudcomputing software; including AWS, Azure. Experience working with Laboratory Information Management System (LIMS). Basic skill in Linux command line. Familiarity with molecular biology and bioinformatics tools. Familiarity More ❯
will be responsible for building scalable data infrastructure and pipelines, collaborating with multidisciplinary teams. Key Responsibilities: Design and implement scalable data pipelines and infrastructure Develop data processing systems using cloud technologies Optimize data storage and retrieval for AI applications Support AI/ML model development and deployment Evaluate and adopt new data technologies Collaborate with scientists, researchers, and operational … teams Qualifications & Experience: Extensive Python programming experience in enterprise environments Knowledge of data modeling, ETL, data warehousing, and SQL Cloudcomputing experience Strong communication skills Innovative mindset and ability to solve challenges creatively Ability to work in a fast-paced, startup-like environment Nice to have: Familiarity with AI/ML workflows Experience with Docker/Kubernetes Knowledge More ❯
Your knowledge and experience will include: Solid grounding in mathematics/sciences Experience in data science/artificial intelligence Automation of data processing pipelines on remote systems (on the "cloud") Understanding of the importance of algorithmic validation Desirable experience includes: CloudComputing (i.e. AWS, GCP, Azure) Coding Experience (e.g. Python) CI/CD pipelines, unit testing, use More ❯
solutions for stellarator simulation and optimization. The ideal candidate is a talented software practitioner with a user-first mindset, interested in tackling a diverse mix of challenges in scientific computing and simulation within a dynamic start-up environment. WHAT YOU WILL DO -Develop and maintain the full stack of our stellarator design and simulation framework, from cloud-based … data pipelines and scheduling solutions. - Enjoy diving into new problems with a continuous learning attitude, absorbing relevant domain knowledge. - Additional experience with scientific C++ and Fortran libraries, HPC technologies, cloudcomputing, or web app development is a plus. INTERVIEW PROCESS Recruiter Interview (30-60 min). Technical Screening (30 min). Technical Panel (3x60 min). CEO call More ❯
IT degree. Significant experience managing laboratory operations, engineering systems, and IT infrastructure in a research-intensive or technical environment. Strong knowledge of laboratory information management systems (LIMS), electronic notebooks, cloudcomputing, data storage. Laboratory experience (wet-lab skills) and understanding of regulatory compliance (e.g., GLP, ISO standards) in laboratory environments. Proven skills in leadership and managing infrastructure projects. More ❯