This role pays less than
71%
of similar roles. Most pay
$128,812–$193,000
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$161k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has
90 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 89 roles with salary data.
The Decision Support Tools Engineer joins the New Medical Sensors team to develop and maintain automation scripts, pipelines, and interactive visualization tools for decision support algorithms on continuous physiological sensor platforms. The role involves building reusable toolkits, designing Design of Experiments matrices to evaluate algorithm parameters, and managing data wrangling workflows to transform raw sensor data into structured inputs. Key responsibilities include creating dashboards for performance analysis and documenting standard operating procedures to ensure reproducibility. Candidates must be proficient in Python using libraries like pandas and NumPy, and have experience with visualization tools such as Matplotlib, Plotly, or Streamlit. The role requires expertise in Git, handling time-series data, and utilizing generative AI tools like Copilot or Claude. This position focuses on improving medical outcomes by streamlining the development of wearable technologies for various disease states.
AI Agent Development
Python
Java
LangChain
LLM Orchestration
Prompt Engineering
CI/CD
Kubernetes
Microservices
Kafka
PyTorch
TensorFlow
Hugging Face
Anthropic SDK
Pydantic AI
DORA Metrics
SPACE Metrics
NoSQL