Sr. Staff AI Developer
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Job Summary
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team youll 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 worlds toughest challenges like protecting the environment making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join our AI team where youll design and implement artificial intelligence solutions that help make the world healthier cleaner and safer. As a Staff Engineer in Artificial Intelligence youll architect and develop advanced AI/ML solutions that drive innovation across our diverse business units. Youll 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 oftenleveragingcloud-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
Optimizemodel performance accuracy and interpretability
Utilize cloud AI/ML platforms (AWS Azure Google Cloud)
Monitor retrain andmaintainmodels in production (MLOpspractices)
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
Bachelors orMastersdegree 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:TensorFlowPyTorch Scikit-learn
Experience developing risk models (classification regression survival analysis)
Familiarity withNatural language processing(NLP)framework
Knowledge of healthcare or life sciences data including patient and donordatasets
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 communicationand 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 ofMLOpstools (MLflow Kubeflow Docker Kubernetes)
Experience with big data tools (Spark Kafka)
Background in clinical analytics epidemiology or biostatistics
AI or cloud certifications
Required Experience:
Staff IC
About Company
Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more
