Staff AI Developer
Thermo Fisher Scientific
This listing was originally posted on Thermo Fisher Scientific's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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OfficeJob Description
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 our AI team where you'll design and implement artificial intelligence solutions that help make the world healthier, cleaner, and safer. As a Staff Engineer in Artificial Intelligence, you'll architect and develop advanced AI/ML solutions that drive innovation across our diverse business units. You'll collaborate with data scientists, researchers, and business stakeholders to create scalable AI architectures, optimize model performance, and implement state-of-the-art machine learning solutions. This role includes developing predictive models for patient and donor risk, working with healthcare datasets, and integrating AI capabilities into applications, often leveraging cloud-based platforms.
Key Responsibilities
Design, develop, and deploy AI/ML models and algorithms
Build predictive models for patient and donor risk assessment (e.g., eligibility, adverse outcomes, fraud/risk scoring)
Work with structured and unstructured healthcare/life sciences data (EHR, clinical, donor data)
Perform data preprocessing, feature engineering, and model evaluation
Integrate AI models into production systems via APIs or microservices
Collaborate with data scientists, clinicians, and business stakeholders
Optimize model performance, accuracy, and interpretability
Utilize cloud AI/ML platforms (AWS, Azure, Google Cloud)
Monitor, retrain, and maintain models in production (MLOps practices)
Ensure compliance with healthcare regulations (HIPAA, FDA, GDPR as applicable)
Apply ethical AI practices, including bias detection and model transparency
Stay updated with advancements in AI, healthcare analytics, and risk modeling
Required Qualifications
Bachelor’s or Master’s degree in computer science, AI, Data Science, or related field
5+ years of experience in AI/ML development
Strong programming skills in Python (preferred), C#.Net, Java, or C++
Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
Experience developing risk models (classification, regression, survival analysis)
Familiarity with Natural language processing (NLP) framework
Knowledge of healthcare or life sciences data, including patient and donor datasets
Experience with data preprocessing and analysis (Pandas, NumPy)
Familiarity with REST APIs and software development practices
Understanding of statistics, probability, and data structures
Experience with version control (GitHub)
Strong problem-solving and analytical skills
Good communication and collaboration abilities
Preferred Qualifications
• Experience with Generative AI and large language models (LLMs)
• Familiarity with healthcare data standards (HL7, FHIR)
• Experience with cloud AI services:
• AWS SageMaker
• Azure AI / ML Studio
• Google Vertex AI
• Knowledge of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
• Experience with big data tools (Spark, Kafka)
• Background in clinical analytics, epidemiology, or biostatistics
• AI or cloud certifications
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