Reduce Carbon, Restore Nature
Analyzing the materials of the future with AI
Biomed Solutions turns complex climate and material data into clear decisions. Our platform blends satellite, sensor, and lab results to predict performance, supply risk, and carbon impact. Choose better materials, design resilient products, and report with confidence.
About Biomed Solutions
• Our Vision
A world where every product choice strengthens nature. Companies design with low-carbon materials by default and communities thrive through resilient infrastructure.
• Our Mission
Equip companies with AI-driven insights that make climate-smart decisions simple, fast, and verifiable. We combine ensemble models with trustworthy data so actions today lead to a sustainable tomorrow.
To enhance human decision-making with AI-driven insights on the fast-moving impacts of climate change, fostering a more resilient and sustainable world.
AI Ensemble Framework
Unifies physics models, machine learning, and domain rules to forecast material performance and carbon outcomes across scenarios.
Highlights:
• Compare materials by cost, durability, and emissions
• Run what-if simulations for region, climate, and supply inputs
• Export ready-to-use results for design and reporting
Real-Time Data Integration
Streams satellite, IoT, LCA libraries, lab results, and ERP data into a single view.
Highlights:
• Out-of-the-box connectors and secure APIs
• Automated data quality checks with full lineage
• Dashboards that update as conditions change
Predictive Analytics
Anticipates failure modes, supply disruptions, and regulatory shifts before they hit your plan.
Highlights:
• Early-warning risk scores for suppliers and regions
• Lifetime performance predictions by temperature, humidity, and stress
• Auto-generated insights you can share with stakeholders
Collaborative Platform
Brings R&D, sustainability, and operations into one workspace.
Highlights:
• Projects, comments, and tasks on the same dataset
• Role-based access with audit trails
• Share links for suppliers and partners without exposing raw data
Ethical Standards
Transparency
We document data sources, model choices, and uncertainty. Every chart links to methods and version history so results can be checked and reproduced.
Ethics
We evaluate model impact, bias, and error costs before deployment. Results never replace human judgment. We encourage debate and publish limitations.
Privacy
Your data stays yours. We apply strong encryption, strict access controls, and privacy-by-design practices. Data sharing is opt-in and contract-bound.
Join Our Team
Help us build tools that make low-carbon choices the easy choices. We value curiosity, clear thinking, and real-world impact.
We offer competitive pay, meaningful equity, flexible location, and benefits that support health and family. Don’t meet every requirement? If the mission fits you, apply.
Data Scientist
You will design, train, and validate ensemble models that forecast material performance, carbon outcomes, and climate risk. You will work with domain experts and engineers to ship models that are correct, explainable, and useful.
Responsibilities
• Build and maintain data pipelines for satellite, sensor, and lab data
• Develop forecasting models and uncertainty estimates
• Design experiments and benchmarks with clear success metrics
• Partner with product to turn research into features
• Present methods and results to technical and non-technical audiences
• Uphold our standards for transparency, ethics, and privacy
Qualifications
• 3+ years in data science or applied ML, or equivalent research experience
• Strong Python skills and experience with modern ML tooling
• Background in one or more: materials science, climate science, geospatial analytics, time-series modeling
• Experience deploying models to production and monitoring performance
• Excellent communication and documentation habits
Software Engineer
Build the core platform that turns climate and materials data into decisions. You will ship reliable services, APIs, and user features used by engineers, scientists, and sustainability teams.
Responsibilities
• Design and build backend services and APIs for data, modeling, and auth
• Implement clean, accessible product features in a modern web stack
• Write tests, automate CI, monitor performance, and resolve issues fast
• Partner with scientists, data engineers, and product on specs and delivery
• Maintain security, privacy, and auditability in everything you ship
Qualifications
• 4+ years in software development with production ownership
• Strong skills in Python or TypeScript plus a web framework you love
• Experience with cloud infra, containers, and IaC
• Solid grasp of testing, observability, and code reviews
• Clear communication in a remote setting
Climate Scientist
Develop trusted climate insights for our platform. You will translate research into usable forecasts and metrics that help teams plan and adapt.
Responsibilities
• Build and validate models for extremes, downscaling, and scenario analysis
• Integrate CMIP6, ERA5, satellite, and in-situ data with clear provenance
• Quantify uncertainty and communicate limitations
• Create methods docs and review notebooks others can reproduce
• Collaborate with product to turn science into features and visuals
Qualifications
• Graduate training or equivalent experience in climate or atmospheric science
• Strong skills in Python, xarray, NumPy, and scientific workflows
• Experience with geospatial data formats and tooling
• Ability to explain complex results to non-experts
