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About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. The Role You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. What You'll Do • Perform bioinformatics analysis and provide drug development expertise for assigned work., • Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. What We're Looking For • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome), • 3+ years of bioinformatics research experience Offer Details • Commitment: 15–30 hours/week (with overlap in PST), • Compensation: Highly competitive, top 10% of industry rates, • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment

You will work closely with cross‑functional teams—including Clinical Operations, Data Platform Engineering, and AI/ML teams—to ensure accuracy, traceability, and compliance across all data outputs. Data Integrity & Quality Control. Partner with engineering teams to automate data cleaning and v

Define and govern reliable, ethical, and compliant data sourcing and management. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. Independent thinker who can create the vision and execute on transforming data into high end client products.

Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. For data Science/Machine learning Positions.