Analytics Platform Engineer (Pharma) - Plainsboro Township, New Jersey
Location: Hybrid in Plainsboro Township, New Jersey, United States
Employment type: Full-time
Industry:
Salary: $110,000 - $145,000 per year
Posted: 3 months ago
Why This Role Matters
MissionHires is partnering with a global biopharmaceutical organization to hire a hands-on AI/ML & Analytics Platform Engineer. In this hybrid role (approx. 60% onsite in Plainsboro Township, NJ), you will design, build, and optimize secure, compliant AI/ML platforms that power advanced analytics across research, commercial, and business operations. You’ll collaborate with ML engineers, data scientists, and cloud teams to enable scalable model training, inference, and deployment, championing automation-first, IaC, and modern DevOps practices to improve reliability, performance, and developer experience.
How You'll Contribute
- Design and enhance AI/ML & Analytics platform services across development, testing, and production environments
- Enable scalable batch and real-time ML workflows with flexible deployment strategies
- Improve platform performance, optimize CPU/GPU utilization, and reduce operational overhead
- Implement Infrastructure-as-Code (IaC) and GitOps practices to scale cloud infrastructure
- Partner with cloud engineering teams to ensure reliability, security, compliance, and cost efficiency
- Support monitoring, observability, model/artifact registries, and governance frameworks
- Guide cross-functional teams on architecture design, CI/CD pipelines, and scalable ML deployments
- Continuously improve platform usability and efficiency for internal users
What Makes You a Great Fit
- Bachelor’s or Master’s in Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research, or related field
- 5+ years of experience in AI/ML platform engineering, analytics platforms, or similar environments
- Proven experience building scalable, self-service platforms using microservices or event-driven architectures
- Strong programming skills in Python, Spark, and SQL with familiarity in PyTorch or TensorFlow
- Hands-on experience with AWS services, including AI/ML tooling such as SageMaker
- Proficiency with Infrastructure-as-Code tools (Terraform, CDK, Pulumi, OpenTofu) and CI/CD pipelines
- Experience with Git-based version control and CI tools (GitHub, GitLab, Jenkins, etc.)
- Containerization and orchestration expertise (Docker, Kubernetes, etc.)
- Experience managing large-scale CPU/GPU or multi-GPU environments
- Knowledge of observability, monitoring, and system performance optimization
- Strong communication skills and experience collaborating with cross-functional stakeholders
- Preferred: Experience in pharmaceutical or biotech environments
- Preferred: Proficiency in strongly typed languages (C/C++/Java/Go/Rust)
- Preferred: Experience with distributed systems (Ray, Dask, Spark) or HPC (Slurm)
- Preferred: Experience with data platforms (Databricks, Snowflake, Lake Formation)
- Preferred: Experience with streaming technologies (Kafka, Spark Streaming)
- Preferred: Familiarity with GitOps tools (ArgoCD, Crossplane)
- Preferred: Multi-cloud exposure (AWS, GCP, Azure)
- Preferred: Experience with high-performance inference frameworks (ONNX Runtime, TensorRT, Triton) or GenAI workloads
Who We Are, What We Stand For
MissionHires is the AI hiring partner of top talent teams. Our platform helps recruiters, agencies, and top companies source, engage with, and evaluate top talent 10 times faster than job boards.
To bridge the gap between companies and passionate talent.
Frequently Asked Questions
Is this Analytics Platform Engineer role hybrid and how often do I need to be onsite?
Yes—about 60% onsite in Plainsboro Township, NJ.
What salary range is listed for this position?
USD $110,000 to $145,000 per year.
Do you offer relocation assistance for this job?
No—relocation is unpaid and no assistance is provided.
Which cloud and ML tools will I use day to day?
AWS (including SageMaker), Python, Spark, SQL, and ML frameworks like PyTorch or TensorFlow.
Do I need Kubernetes and Docker experience?
Yes—containerization and orchestration with Docker and Kubernetes are required.
What kind of ML workloads and deployments will I support?
Scalable batch and real-time ML workflows for training, inference, and deployment.
Which IaC and CI/CD tools should I know?
Terraform, CDK, Pulumi, or OpenTofu for IaC, and CI/CD with GitHub, GitLab, or Jenkins.
Is pharma or biotech experience required?
Not required, but experience in pharmaceutical or biotech environments is preferred.