parse financial data from SEC EDGAR filings and clinical activity from ClinicalTrials.gov

We are seeking an experienced Python Data Engineer to build and refine an automated financial and clinical trial scouting pipeline for an early-stage biopharma intelligence platform. The core objective of the platform is to parse financial data from SEC EDGAR filings (10-Q / 10-K) and clinical activity from ClinicalTrials.gov to calculate company cash runway, monthly burn rates, and pipeline stagnation metrics. We already have a working proof-of-concept validation script built in Python using pandas and requests. We need a developer to expand this script to handle a larger cohort of companies, edge-case financial reporting taxonomies, and structured database exports.