diff --git a/src/workbench-jupyter-parabricks/.devcontainer.json b/src/workbench-jupyter-parabricks/.devcontainer.json
new file mode 100644
index 00000000..c3b24a92
--- /dev/null
+++ b/src/workbench-jupyter-parabricks/.devcontainer.json
@@ -0,0 +1,51 @@
+{
+  "name": "Workbench JupyterLab with docker support devcontainer template plus NVIDIA Parabricks",
+  "dockerComposeFile": "docker-compose.yaml",
+  "service": "app",
+  "shutdownAction": "none",
+  "workspaceFolder": "/workspace",
+  // Get the host's docker group ID and propagate it into the .env file, which
+  // allows it to be used within docker-compose.yaml.
+  "initializeCommand": "DOCKER_GID=`getent group docker | cut -d: -f3` && echo \"DOCKER_GID=${DOCKER_GID}\" > .env",
+  "postCreateCommand": "./startupscript/post-startup.sh jupyter /home/jupyter ${templateOption:cloud} ${templateOption:login} && ./startupscript/setup-docker.sh",
+  // re-mount bucket files on container start up
+  "postStartCommand": [
+    "./startupscript/remount-on-restart.sh",
+    "jupyter",
+    "/home/jupyter",
+    "${templateOption:cloud}",
+    "${templateOption:login}"
+  ],
+  "remoteUser": "root",
+  "customizations": {
+    "workbench": {
+      "opens": {
+        "extensions": [
+          // Source
+          ".ipynb",
+          ".R",
+          ".py",
+          // Documents
+          ".md",
+          ".html",
+          ".latex",
+          ".pdf",
+          // Images
+          ".bmp",
+          ".gif",
+          ".jpeg",
+          ".jpg",
+          ".png",
+          ".svg",
+          // Data
+          ".csv",
+          ".tsv",
+          ".json",
+          ".vl"
+        ],
+        "fileUrlSuffix": "/lab/tree/{path}",
+        "folderUrlSuffix": "/lab/tree/{path}"
+      }
+    }
+  }
+}
diff --git a/src/workbench-jupyter-parabricks/Dockerfile b/src/workbench-jupyter-parabricks/Dockerfile
new file mode 100644
index 00000000..c4d49c15
--- /dev/null
+++ b/src/workbench-jupyter-parabricks/Dockerfile
@@ -0,0 +1,21 @@
+# Use the official NVIDIA Clara Parabricks container as the base image
+FROM nvcr.io/nvidia/clara/clara-parabricks:4.5.1-1
+
+# Set the working directory inside the container
+WORKDIR /workspace
+
+# Switch to root user to install packages
+USER root
+
+# Update package lists and install python3, pip, and other essentials
+# Clean up apt-get cache to reduce image size
+RUN apt-get update && \
+    apt-get install -y python3 python3-pip && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Jupyter Lab using pip
+RUN pip3 install jupyterlab
+
+# Expose the port Jupyter Lab will run on
+EXPOSE 8888
\ No newline at end of file
diff --git a/src/workbench-jupyter-parabricks/devcontainer-template.json b/src/workbench-jupyter-parabricks/devcontainer-template.json
new file mode 100644
index 00000000..b844bdb0
--- /dev/null
+++ b/src/workbench-jupyter-parabricks/devcontainer-template.json
@@ -0,0 +1,23 @@
+{
+  "id": "custom-workbench-jupyter-parabricks-template",
+  "description": "A template used to serve the Workbench JupyterLab container image plus NVIDIA Parabricks",
+  "version": "0.0.1",
+  "name": "Workbench Prebuilt JupyterLab Template running alongside NVIDIA Parabricks",
+  "documentationURL": "https://github.com/verily-src/workbench-app-devcontainers/tree/master/src/custom-workbench-jupyter-template",
+  "licenseURL": "https://github.com/verily-src/workbench-app-devcontainers/blob/master/LICENSE",
+  "options": {
+    "cloud": {
+      "type": "string",
+      "description": "VM cloud environment",
+      "proposals": ["gcp", "aws"],
+      "default": "gcp"
+    },
+    "login": {
+      "type": "string",
+      "description": "Whether to log in to workbench CLI",
+      "proposals": ["true", "false"],
+      "default": "false"
+    }
+  },
+  "platforms": ["Any"]
+}
diff --git a/src/workbench-jupyter-parabricks/docker-compose.yaml b/src/workbench-jupyter-parabricks/docker-compose.yaml
new file mode 100644
index 00000000..cd279932
--- /dev/null
+++ b/src/workbench-jupyter-parabricks/docker-compose.yaml
@@ -0,0 +1,23 @@
+version: "2.4"
+services:
+  app:
+    container_name: "application-server"
+    image: "us-central1-docker.pkg.dev/wb-quick-seed-877/parabricks-demo-repo/test1:20250827"
+    user: root
+    restart: always
+    volumes:
+      - .:/workspace:cached
+    ports:
+      - "8888:8888"
+    networks:
+      - app-network
+    cap_add:
+      - SYS_ADMIN
+    devices:
+      - /dev/fuse
+    security_opt:
+      - apparmor:unconfined
+    command: jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root --LabApp.token=''
+networks:
+  app-network:
+    external: true
\ No newline at end of file
diff --git a/startupscript/gcp/resource-mount.sh b/startupscript/gcp/resource-mount.sh
index 78d231a5..5d85b0ff 100644
--- a/startupscript/gcp/resource-mount.sh
+++ b/startupscript/gcp/resource-mount.sh
@@ -50,5 +50,5 @@ fi
 sed -i '/user_allow_other/s/^#//g' /etc/fuse.conf
 
 if [[ "${LOG_IN}" == "true" ]]; then
-  ${RUN_AS_LOGIN_USER} "wb resource mount --allow-other || echo 'Resource mounting failed.'"
+  ${RUN_AS_LOGIN_USER} "/'${WORKBENCH_INSTALL_PATH}' resource mount --allow-other || echo 'Resource mounting failed.'"
 fi
diff --git a/startupscript/git-setup.sh b/startupscript/git-setup.sh
index a5e178ae..72ef017b 100755
--- a/startupscript/git-setup.sh
+++ b/startupscript/git-setup.sh
@@ -31,7 +31,7 @@ ${RUN_AS_LOGIN_USER} "mkdir -p ${USER_SSH_DIR} --mode 0700"
 # Get the user's SSH key from Workbench, and if set, write it to the user's .ssh directory
 ${RUN_AS_LOGIN_USER} "\
  install --mode 0600 /dev/null '${USER_SSH_DIR}/id_rsa.tmp' && \
- wb security ssh-key get --include-private-key --format=JSON >> '${USER_SSH_DIR}/id_rsa.tmp' || true"
+ '${WORKBENCH_INSTALL_PATH}' security ssh-key get --include-private-key --format=JSON >> '${USER_SSH_DIR}/id_rsa.tmp' || true"
 if [[ -s "${USER_SSH_DIR}/id_rsa.tmp" ]]; then
  ${RUN_AS_LOGIN_USER} "\
    install --mode 0600 /dev/null '${USER_SSH_DIR}/id_rsa' && \
@@ -63,7 +63,7 @@ ${RUN_AS_LOGIN_USER} "mkdir -p '${WORKBENCH_GIT_REPOS_DIR}'"
 
 # shellcheck disable=SC2164
 pushd "${WORKBENCH_GIT_REPOS_DIR}"
-${RUN_AS_LOGIN_USER} "wb resource list --type=GIT_REPO --format json" | \
+${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' resource list --type=GIT_REPO --format json" | \
   jq -c .[] | \
   while read -r ITEM; do
     GIT_REPO_NAME="$(echo "$ITEM" | jq -r .id)"
diff --git a/startupscript/install-cli.sh b/startupscript/install-cli.sh
index bd982b1a..b98fa79c 100755
--- a/startupscript/install-cli.sh
+++ b/startupscript/install-cli.sh
@@ -44,7 +44,7 @@ fi
 readonly TERRA_SERVER
 
 # Only install cli if not already installed
-if ! command -v wb &> /dev/null; then
+if ! command -v '${WORKBENCH_INSTALL_PATH}'&> /dev/null; then
   emit "Installing the Workbench CLI ..."
 
   if ! AXON_VERSION_URL="$(get_axon_version_url "${TERRA_SERVER}")"; then
@@ -69,21 +69,21 @@ if ! command -v wb &> /dev/null; then
   cp wb "${WORKBENCH_INSTALL_PATH}"
 
   # Copy 'wb' to its legacy 'terra' name.
-  cp "${WORKBENCH_INSTALL_PATH}" "${WORKBENCH_LEGACY_PATH}"
+  cp wb "${WORKBENCH_LEGACY_PATH}"
 fi
 
 # Set browser manual login since that's the only login supported from a Vertex AI Notebook VM
-${RUN_AS_LOGIN_USER} "wb config set browser MANUAL"
+${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' config set browser MANUAL"
 
 # Set the CLI server based on the server that created the VM.
-${RUN_AS_LOGIN_USER} "wb server set --name=${TERRA_SERVER}"
+${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' server set --name=${TERRA_SERVER}"
 
 # Generate the bash completion script
-${RUN_AS_LOGIN_USER} "wb generate-completion > '${USER_BASH_COMPLETION_DIR}/workbench'"
+${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' generate-completion > '${USER_BASH_COMPLETION_DIR}/workbench'"
 
 if [[ "${LOG_IN}" == "true" ]]; then
 
-  # For GCP use "APP_DEFAULT_CREDENTIALS", for AWS use "AWS_IAM" as --mode arg to "wb auth login".
+  # For GCP use "APP_DEFAULT_CREDENTIALS", for AWS use "AWS_IAM" as --mode arg to "/usr/bin/wb auth login".
   LOG_IN_MODE="APP_DEFAULT_CREDENTIALS"
   if [[ "${CLOUD}" == "aws" ]]; then
     LOG_IN_MODE="AWS_IAM"
@@ -92,13 +92,13 @@ if [[ "${LOG_IN}" == "true" ]]; then
 
   # Log in with app-default-credentials
   emit "Logging into workbench CLI with mode ${LOG_IN_MODE}"
-  ${RUN_AS_LOGIN_USER} "wb auth login --mode=${LOG_IN_MODE}"
+  ${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' auth login --mode=${LOG_IN_MODE}"
 
   # Set the CLI workspace id using the VM metadata, if set.
   TERRA_WORKSPACE="$(get_metadata_value "terra-workspace-id")"
   readonly TERRA_WORKSPACE
   if [[ -n "${TERRA_WORKSPACE}" ]]; then
-    ${RUN_AS_LOGIN_USER} "wb workspace set --id='${TERRA_WORKSPACE}'"
+    ${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' workspace set --id='${TERRA_WORKSPACE}'"
   fi
 else
   emit "Do not log user into workbench CLI. Manual log in is required."
diff --git a/startupscript/remount-on-restart.sh b/startupscript/remount-on-restart.sh
index 610a28c9..bdd5dd23 100755
--- a/startupscript/remount-on-restart.sh
+++ b/startupscript/remount-on-restart.sh
@@ -49,8 +49,8 @@ source "${SCRIPT_DIR}/emit.sh"
 # CLI login
 #############################
 readonly RUN_AS_LOGIN_USER="sudo -u ${USER_NAME} bash -l -c"
-if [[ "${LOG_IN}" == "true" ]] && ${RUN_AS_LOGIN_USER} "wb auth status 2>&1" | grep -q "NO USER LOGGED IN"; then
-  ${RUN_AS_LOGIN_USER} "wb auth login --mode=APP_DEFAULT_CREDENTIALS"
+if [[ "${LOG_IN}" == "true" ]] && ${RUN_AS_LOGIN_USER} "/usr/bin/wb auth status 2>&1" | grep -q "NO USER LOGGED IN"; then
+  ${RUN_AS_LOGIN_USER} "/usr/bin/wb auth login --mode=APP_DEFAULT_CREDENTIALS"
 fi
 
 #############################
diff --git a/startupscript/setup-bashrc.sh b/startupscript/setup-bashrc.sh
index 5062bddf..8a9a9754 100644
--- a/startupscript/setup-bashrc.sh
+++ b/startupscript/setup-bashrc.sh
@@ -27,14 +27,14 @@ emit "Customize user bashrc ..."
 if [[ "${LOG_IN}" == "true" ]]; then
   # OWNER_EMAIL is really the Workbench user account email address
   OWNER_EMAIL="$(
-    ${RUN_AS_LOGIN_USER} "wb workspace describe --format=json" | \
+    ${RUN_AS_LOGIN_USER} "''${WORKBENCH_INSTALL_PATH}'' workspace describe --format=json" | \
     jq --raw-output ".userEmail")"
   readonly OWNER_EMAIL
 
   # PET_SA_EMAIL is the pet service account for the Workbench user and
   # is specific to the GCP project backing the workspace
   PET_SA_EMAIL="$(
-    ${RUN_AS_LOGIN_USER} "wb auth status --format=json" | \
+    ${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' auth status --format=json" | \
     jq --raw-output ".serviceAccountEmail")"
   readonly PET_SA_EMAIL
 
@@ -57,7 +57,7 @@ if [[ "${CLOUD}" == "gcp" && "${LOG_IN}" == "true" ]]; then
 
   # GOOGLE_PROJECT is the project id for the GCP project backing the workspace
   GOOGLE_PROJECT="$(
-    ${RUN_AS_LOGIN_USER} "wb workspace describe --format=json" | \
+    ${RUN_AS_LOGIN_USER} "'${WORKBENCH_INSTALL_PATH}' workspace describe --format=json" | \
     jq --raw-output ".googleProjectId")"
   readonly GOOGLE_PROJECT
   
@@ -77,7 +77,7 @@ if [[ "${CLOUD}" == "aws" && "${LOG_IN}" == "true" ]]; then
 
   # Create a symlink to this workspace's AWS config file to use as the target for AWS_CONFIG_FILE.
   readonly AWS_CONFIG_SYMLINK="${USER_WORKBENCH_CONFIG_DIR}/workspace.conf"
-  ${RUN_AS_LOGIN_USER} "eval \$(wb workspace configure-aws) && \
+  ${RUN_AS_LOGIN_USER} "eval \$('${WORKBENCH_INSTALL_PATH}' workspace configure-aws) && \
     ln -sf \${AWS_CONFIG_FILE} ${AWS_CONFIG_SYMLINK}"
 
   emit "Adding Workbench AWS-sepcific environment variables to ~/.bashrc ..."