diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index b1f8f3a..9ea249b 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -101,19 +101,18 @@ This often provides additional considerations and avoids unnecessary work.
    cd orca
    ```
 
-4. Install `pipx` to easily run Python CLI tools like `tox` and `pipenv`.
-
 4. Create an isolated virtual environment containing package dependencies,
    including those needed for development (*e.g.* testing, documentation) by running:
 
    ```console
-   pipx run tox -e pipenv
+   ./dev_setup.sh <your_python_version>
+   source py-orca-venv-<your_python_version>/bin/activate
    ```
 
 5. Install [pre-commit] hooks:
 
    ```
-   pipenv run pre-commit install
+   pre-commit install
    ```
 
    `orca` comes with a lot of hooks configured to automatically help the
diff --git a/README.md b/README.md
index d4c6648..f7e4282 100644
--- a/README.md
+++ b/README.md
@@ -24,21 +24,6 @@ Refer to [`.env.example`](.env.example) for the format of their values as well a
 
 Once your environment is set, you can create a virtual environment, install the Python dependencies, and run the demonstration script (after downloading it) as follows. Note that you will need to update the `s3_prefix` parameter so that it points to an S3 bucket that is accessible to your Tower workspace.
 
-### Using pipenv
-```bash
-# Create and activate a Python virtual environment (tested with Python 3.11)
-pipenv shell
-
-# Install Python dependencies
-pipenv install
-
-# If development dependencies are required to be installed
-pipenv install -d
-
-# Run the script using an example dataset
-python3 demo.py run --dataset_id 'syn51514585' --s3_prefix 's3://orca-service-test-project-tower-bucket/outputs'
-```
-
 ### Manually creating a virtual environment
 ```bash
 # Create and activate a Python virtual environment (tested with Python 3.10)