diff --git a/scripts/funder_mapping.py b/scripts/funder_mapping.py
new file mode 100644
index 00000000..604c14ba
--- /dev/null
+++ b/scripts/funder_mapping.py
@@ -0,0 +1,62 @@
+import pandas as pd
+import logging
+
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+
+indicators_df = pd.read_csv('indicators_all.csv')
+funders_df = pd.read_csv('biomedical_research_funders.csv')
+
+funding_columns = ['fund_text', 'fund_pmc_institute', 'fund_pmc_source', 'fund_pmc_anysource']
+
+
+def data_cleaning_processing():
+    """Removes spaces and symbols as well as convert to lowercase"""
+    for col in funding_columns:
+        indicators_df[col] = indicators_df[col].astype(str).str.lower()  # Convert to lowercase
+        indicators_df[col] = indicators_df[col].str.replace('[^\w\s]', '', regex=True)  # Remove punctuation
+
+
+def founder_mapping(funder_names_set):
+    """map founder and return a new df with new mapping"""
+    try:
+        output_df = pd.DataFrame(indicators_df['pmid'])
+
+        # Check for funder matches and populate the output DataFrame
+        for funder_name in funder_names_set:
+            # Initialize a column for each funder with False
+            output_df[funder_name] = False
+
+            # Update the column if any of the funding information columns contain the funder name
+            for column in funding_columns:
+                output_df[funder_name] = output_df[funder_name] | indicators_df[column].str.contains(funder_name, na=False)
+        return output_df
+    except Exception as e:
+        logger.error(f"Error mapping data {e}")
+
+
+def output_to_file(output_df: pd.DataFrame):
+    """Convert True/False to  TRUE/FALSE and save to file"""
+    output = output_df.replace({True: 'TRUE', False: 'FALSE'})
+    output.to_csv('pmid-funding-matrix.csv', index=False)
+
+
+def main():
+    try:
+        funder_names_set = set(funders_df['Name'].tolist())
+
+        data_cleaning_processing()
+
+        output_df = founder_mapping(funder_names_set)
+
+        output_to_file(output_df)
+    except Exception as e:
+        logger.error(f"Failed to process data: {e}")
+        raise e
+
+
+if __name__ == "__main__":
+    main()