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Senior Bioinformatics Machine Learning Jobs in Brick, NJ

Nvidia

HPC Middleware Developer

Holmdel, NJ

We are now looking for a senior HPC software engineer. As a member of our the High Performance ... machine learning, cloud computing, and system co-design. What you'll be doing: The team is ...

Nvidia

HPC Middleware Developer

Holmdel, NJ · On-site

We are now looking for a senior HPC software engineer. As a member of our the High Performance ... machine learning, cloud computing, and system co-design. What you'll be doing: The team is ...

All JobsBioinformatics Machine Learning JobsSenior Bioinformatics Machine Learning JobsSenior Bioinformatics Machine Learning Jobs in Brick, NJ

Senior Bioinformatics Machine Learning information

See Brick, NJ salary details

$91.2K

$110.4K

$129K

How much do senior bioinformatics machine learning jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior bioinformatics machine learning in Brick, NJ is $110,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $118,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

What cities near Brick, NJ are hiring for Senior Bioinformatics Machine Learning jobs?

Cities near Brick, NJ with the most Senior Bioinformatics Machine Learning job openings:

Senior Bioinformatics Machine Learning jobs near you

Senior Cloud & DevOps Engineer (ML Infrastructure)

East Brunswick, NJ • On-site

Tanisha Systems, Inc.
1 - 5K employees
Learn more about Tanisha Systems, Inc.external

$129K - $166K/yr

Other

Posted 17 days ago

Job description

Senior Cloud & DevOps Engineer (ML Infrastructure)
Location: Sunnyvale, CA/Austin, TX (Onsite) – preference is local and ex-a***
Salary: Market- based on experience
FTE/fulltime
WE NEED SOME FROM STRONG DEVELOPMENT BACKGROUND EXPERIENCE, FYI THERE WILL BE A F2F INTERVIEW FOR THIS POSITION
Job Description
We are seeking a highly skilled Senior Cloud & DevOps Engineer to design, build, and operate scalable cloud-native platforms that support modern data, machine learning, and application workloads. The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, Linux systems, and distributed data platforms, along with hands-on experience building secure and reliable CI/CD and platform automation solutions.
Key Responsibilities
Design, deploy, and manage cloud-native infrastructure on AWS or other public cloud platforms.
Build and maintain Kubernetes-based platforms for scalable application and ML workload deployments.
Develop infrastructure automation and operational tooling using Go or Java.
Administer and troubleshoot Linux systems, networking, and distributed environments.
Implement and manage cloud security controls, IAM policies, and platform governance.
Support machine learning teams by enabling scalable ML infrastructure and deployment pipelines.
Deploy and operate big data and streaming technologies such as Kafka, Spark, and Flink.
Build and enhance CI/CD pipelines, Infrastructure-as-Code (IaC), and platform observability solutions.
Monitor platform reliability, performance, security, and cost optimization.
Collaborate with engineering, data, and ML teams to improve developer productivity and operational excellence.
Required Qualifications
Bachelor’s degree in computer science, Engineering, or a related technical field.
5-7 years of experience in Software Engineering, Platform Engineering, SRE, or DevOps roles.
3-4 years of hands-on experience with AWS or other cloud platforms (Azure/Google Cloud Platform).
3-4 years of experience deploying and operating Kubernetes in production environments.
Strong programming experience in Go and/or Java.
Deep understanding of Linux internals, system administration, troubleshooting, and networking concepts.
Experience with cloud IAM, security best practices, secrets management, and access control.
Hands-on experience with at least one big data technology such as Apache Spark, Apache Flink, and messaging platforms like Apache Kafka.
Experience with containerization technologies such as Docker.
Strong understanding of CI/CD pipelines, automation, and Infrastructure as Code.
Preferred Qualifications
Exposure to Machine Learning platforms, MLOps, or AI infrastructure.
Experience with Terraform, Helm, ArgoCD, GitHub Actions, or Jenkins.
Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry.
Experience supporting large-scale distributed systems in production.
Cloud certifications (AWS, Kubernetes, or equivalent) are a plus.
Key Skills
Cloud: AWS, Azure, Google Cloud Platform
Containers & Orchestration: Kubernetes, Docker, Helm
Languages: Go, Java
Operating Systems: Linux Administration & Internals
Data & Streaming: Kafka, Spark, Flink
Security: IAM, Cloud Security, Secrets Management
DevOps: CI/CD, IaC, Automation, Monitoring
ML Exposure: MLOps, Model Deployment, ML Infrastructure

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