Mithrl
The scientific decision engine for R&D. Raw data → defensible decisions, faster. Pharma and biotech R&D often spend weeks, or even months, learning, coding, and troubleshooting discovery analysis pipelines. This slows research and diverts focus from the work that truly matters: discovery. Mithrl changes that. Using only natural language from the user, Mithrl AI builds custom workflows with full transparency and reproducibility for discovery data (omics and beyond), on-demand and in minutes, not weeks. Discovery researchers across therapeutic areas can instantly align, analyze, interpret, integrate, and iterate hypotheses for complex datasets without manual coding or repetitive setup. By automating these time-consuming processes, Mithrl empowers scientists to spend more time designing experiments, testing insights, and driving high-quality discoveries, including novel IP. From accelerating data analysis to uncovering novel targets and biomarkers, Mithrl is the Scientific Decision Engine that turns data into actionable breakthroughs. See Mithrl in action. Book a demo and transform your research today! Website: www.mithrl.com Follow us on social media: • LinkedIn: linkedin.com/company/mithrl-ai • X: x.com/mithrl_ai
Open Positions at Mithrl
6 open positions
Build and own Mithrl’s AI-powered data ingestion and normalization pipeline, transforming messy scientific and laboratory data into clean, analysis-ready datasets. This high-ownership role combines robust data engineering with LLM-assisted metadata extraction and quality control.
Build the analytical and reasoning layer of Mithrl’s AI Co-Scientist, turning biological datasets into scientific insights and drug-discovery simulations. This role combines machine learning, computational biology, agentic workflows, and computational chemistry.
Build end-to-end AI-powered scientific applications that help researchers make decisions across drug discovery and preclinical development. You’ll combine ML models, biological analysis, agentic reasoning, and domain logic into workflows used directly by scientists.
Build and own high-impact full-stack features for Mithrl’s AI Co-Scientist, transforming complex scientific workflows into intuitive software. You’ll work across Python, React, Django, GraphQL, and scalable data systems while shaping architecture and mentoring engineers.
Build secure, scalable Mithrl deployments while serving as the technical bridge between the platform and biotech and pharmaceutical customers. This hands-on role combines solution architecture, customer integrations, AWS infrastructure, DevOps, and deployment reliability.
Deploy and integrate Mithrl’s AI Co-Scientist platform into secure customer cloud environments while solving complex infrastructure and workflow challenges. This customer-facing engineering role combines cloud systems expertise, software development, and technical advisory work with leading pharma and biotech organizations.