Overview
On Site
130k - 155k
Full Time
Skills
Computer Science
Statistics
Data Science
Health Care
Life Sciences
Amazon Web Services
Cloud Computing
Amazon SageMaker
Step-Functions
Amazon Redshift
Amazon DynamoDB
Machine Learning (ML)
PyTorch
TensorFlow
scikit-learn
Python
SQL
Terraform
Pharmaceutics
Market Research
Forecasting
Natural Language Processing
Customer Intelligence
Sales
Analytics
Modeling
Marketing
Optimization
Workflow
Machine Learning Operations (ML Ops)
Docker
Artificial Intelligence
Collaboration
Health Insurance
SAP BASIS
Job Details
An international biotech company is looking for a fulltime Sr. AI/ML Engineer to join their growing AI org. This company, located in Princeton, NJ is dedicated to improving the lives of patients through innovative antibody therapeutics.
In this role, you will bridge the gap between commercial data science, AI/ML operations and platform engineering and serve as the engineering liaison between the platform team and commercial stakeholders. The ideal candidate will work with the data scientists to develop and deploy custom-built AI and analytics models. Required Skills & Experience
In this role, you will bridge the gap between commercial data science, AI/ML operations and platform engineering and serve as the engineering liaison between the platform team and commercial stakeholders. The ideal candidate will work with the data scientists to develop and deploy custom-built AI and analytics models. Required Skills & Experience
- Master's or PhD in Computer Science, Statistics, Data Science, or a related field with 6+ years of experience in AI/ML, cloud engineering, data science, or MLOps within healthcare, biotech, or life sciences.
- Expert knowledge of AWS cloud services, including SageMaker, Bedrock, Lambda, Step Functions, Redshift, Glue, DynamoDB.
- Deep expertise in AI/ML frameworks such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
- Strong programming skills in Python, SQL, and infrastructure as code (Terraform, CloudFormation, or CDK).
- Familiarity with Commercial Pharma datasets, including sales data, patient data, claims data, market research, and real-world evidence (RWE).
- Experience in building and scaling AI-powered commercial applications (forecasting, NLP, customer intelligence, sales analytics, customer segmentation, next-best-action modeling, and marketing mix optimization) and deploying into business decision workflows.
- Proven experience in MLOps, including model deployment, versioning, monitoring, and drift detection.
- Experience with Docker and containerized AI model deployment
- 50% Hands on
- 50% Collaboration
- Bonus eligible
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.