Staff Engineer Software

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

DESCRIPTION:

Join Thermo Fisher Scientific, the world leader in serving science, as a Staff Engineer, Software to make a meaningful impact. In this role, you will provide technical leadership and architectural guidance while developing innovative software solutions that enable our customers to make the world healthier, cleaner, and safer. Working in a supportive, multi-functional environment, you will design and implement sophisticated solutions across our product portfolio, from cloud platforms to scientific instrumentation. You will support the growth of other engineers, drive adoption of best practices, and help shape the technical direction of critical projects. This position offers the opportunity to work with advanced technologies while contributing to groundbreaking scientific discoveries.

Lead AI/ML, chemometric, and LLM capabilities for bioprocessing and industrial software, turning process data into reliable models and secure decision-support tools.

Key Responsibilities

• Lead architecture and delivery of AI/ML, LLM, and data products for bioprocessing and industrial applications.
• Partner with software, process, automation, and scientific teams to define valuable use cases and measurable outcomes.
• Own data science workflows from acquisition and analysis through feature engineering, validation, deployment, and monitoring.
• Build ML models for multivariate and time-series data, including anomaly detection, forecasting, soft sensing, and optimization.
• Apply chemometric methods such as PCA and PLS to process and analytical data for PAT and process insight.
• Develop data pipelines, APIs, and integrations for equipment, instruments, historians, automation, and enterprise systems.
• Build LLM applications using RAG, semantic search, and approved knowledge sources; evaluate retrieval and answer quality.
• Productionize AI/ML and LLM solutions with reproducible experiments, versioning, testing, CI/CD, deployment, and monitoring.
• Ensure solutions address security, privacy, data integrity, validation, explainability, and responsible AI.
• Set engineering direction, review designs, mentor engineers, and communicate model behavior and limitations to stakeholders.
  
  

• 9–14 years of relevant experience in software engineering, AI/ML, data science, industrial analytics, or process automation.
• Strong Python and software engineering skills; experience with C#/.NET or Java is valuable.
• Applied data science and ML experience, including statistical analysis and supervised or unsupervised methods.
• Experience with multivariate and time-series data, model validation, performance metrics, and uncertainty.
• Experience with data pipelines and SQL or NoSQL databases; time-series or historian data is desirable.
• Working knowledge of MLOps, including reproducible experiments, model versioning, deployment, and monitoring.
• Hands-on chemometrics experience, including PCA, PLS, calibration, and model validation.
• Understanding of LLMs, embeddings, semantic retrieval, vector search, and RAG.
• Experience building LLM applications and evaluating grounding, retrieval relevance, and response quality.
• Knowledge of secure LLM design, data privacy, safeguards, and human review.
• Experience integrating software with industrial or laboratory systems.
• Understanding of process control, instrumentation, sensors, and process data acquisition.
• Experience productizing software or analytics and leading or mentoring multidisciplinary teams.
  
  

• Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
  
  

• Spectral or process analytical data experience (such as NIR or Raman), PAT, or bioprocessing experience.
• Familiarity with OPC UA, PLC, SCADA, or MES integration.
• Knowledge of GxP, validation, data integrity, cybersecurity, and responsible AI.