"scientific infrastructure" Jobs
318 open tech roles matching “scientific infrastructure”, taken straight from company career pages — not reposted from other job boards. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 318 results
Join Xaira Therapeutics as a Senior Software Engineer to build AI-assisted systems for drug discovery in a collaborative environment.
Join Stripe's Intercept team as a Science Lead to advance innovative solutions against respiratory viruses.
Join Genesis Molecular AI as an ML Research Engineer to develop cutting-edge foundation models for drug discovery.
Join Periodic Labs as an Equipment Engineer to lead the commissioning and maintenance of advanced deposition systems in a cutting-edge lab.
Join Periodic Labs as a Midtraining Research Engineer to enhance scientific reasoning in AI models for groundbreaking discoveries.
Join a world-class team to lead transformative research in generative AI for drug discovery at Genesis Molecular AI.
Drive high-impact research in automated reasoning and AI-driven security at a rapidly growing applied AI lab.
Join Recursion Pharmaceuticals as a Senior AI Researcher to advance AI-powered drug discovery in a fully remote role.
Lead the regulatory affairs function at insitro, shaping strategies for innovative therapeutics in a pioneering AI-driven biotech environment.
Join Freenome as a Senior Bioinformatics Research Engineer to develop cutting-edge bioinformatics software in a hybrid role.
Join Anthropic as an Applied AI Architect to maximize the impact of AI in life sciences and drive scientific progress.
Join Leland as a Science & Research Coach, guiding students in scientific research and career development in a fully remote role.
Join Periodic Labs as a Procurement & Finance Operations Manager to optimize procurement and financial operations in a rapidly evolving scientific environment.
Join Pinterest as a Sr. Data Scientist to enhance infrastructure measurement and optimization in a dynamic environment.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.