1

Overnight Computer Science Bioinformatics Jobs in Oklahoma

May be required to travel overnight with or without notice. Could be subjected to on-call status. Education/Experience: A bachelor's degree in computer science, information systems, business ...

Provides technical and scientific support to clients for subrogation and litigation purposes ... Must have knowledge of a variety of computer software applications including but not limited to ...

Provides technical and scientific support to clients for subrogation and litigation purposes ... Must have knowledge of a variety of computer software applications including but not limited to ...

Associate degree in applied science (AAS) in drafting and computer aided design (CAD) or in civil ... Occasionally overnight travel to and work within a substation or power plant environment in ...

New

Designer

Tulsa, OK · On-site

$46K - $93K/yr

Occasional overnight travel to and work within a substation or power plant environment in obedience ... Associate degree in applied science (AAS) drafting and computer aided design (CAD) or in civil ...

Designer

Tulsa, OK

$46K - $93K/yr

Occasional overnight travel to and work within a substation or power plant environment in obedience ... Associate degree in applied science (AAS) drafting and computer aided design (CAD) or in civil ...

Showing results 21-40

Overnight Computer Science Bioinformatics information

What is the difference between Overnight Computer Science Bioinformatics vs Data Scientist?

AspectOvernight Computer Science BioinformaticsData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentLaboratories, research centers, hospitals, often overnight shiftsOffices, tech companies, often standard daytime hours
Industry UsageHealthcare, biotech, research institutionsFinance, tech, marketing, healthcare
Common Search/ComparisonOvernight Computer Science Bioinformatics vs Data Scientist

Overnight Computer Science Bioinformatics roles focus on analyzing biological data, often requiring lab work and research, with overnight shifts common. Data Scientists analyze large datasets across various industries, typically working standard hours in office settings. While both roles involve data analysis and programming, their industries, work environments, and shift patterns differ significantly.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Oklahoma?

The most popular types of Computer Science Bioinformatics jobs in Oklahoma are:

What cities in Oklahoma are hiring for Overnight Computer Science Bioinformatics jobs?

Cities in Oklahoma with the most Overnight Computer Science Bioinformatics job openings:

Full-time

Re-posted 24 days ago


Norman Regional Health System rating

7.4

Company rating: 7.4 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

270th of 887 rated healthcare providers


Job description

Job Summary:
Norman Regional Health System is seeking an AI & Automation Architect responsible for designing the technical strategy for intelligent automation initiatives. The role focuses on selecting technologies to address complex business problems and ensuring solutions are scalable and secure while leading automation projects and compliance with data privacy laws.
Responsibilities:
• Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow)
• Evaluate and select appropriate platforms and tools based on cost, security, and fit
• Define how automation tools communicate with enterprise systems via APIs, webhooks, or database connections
• Establish coding standards, reusable component libraries, and best practices for development teams to ensure consistency
• Work with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control)
• Oversee the infrastructure sizing to support bots and high-volume AI inference requests
• Collaborate with business analysts to determine if a process should be automated and how
• Lead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rollout
• Design the "Control Room" strategy for monitoring bot health, AI model drift, and license utilization
• Disaster Recovery: Create failover strategies to ensure business-critical automations continue running during system outages
• Meeting with Health system leaders to analyze a proposed process and determining if it requires simple RPA, complex AI (e.g., OCR/NLP), or if it shouldn't be automated at all
• Drafting technical blueprints that detail exactly how a bot will log in, where data will be stored, how exceptions are handled, and which AI models will be called
• Researching and testing new AI tools to see if they fit the health systems tech stack better than current tools
• Designing and documenting the REST/SOAP API integrations between the automation platform and third-party apps
• Calculating the necessary compute power (CPU/RAM/GPU) required for upcoming automations and provisioning Virtual Machines (VMs)
• Configuring "Credential Vaults" so bots can log into systems without exposing passwords in the code
• Building and maintaining a library of "snippets" that all developers must use to save time
• Monitors bot health to ensure critical automations ran successfully overnight
• Troubleshoot complex failures that regular support teams cannot fix
• Planning and executing upgrades for the automation platform without breaking existing bots
• Facilitating whiteboard sessions with non-technical departments to uncover their pain points
• Prompt engineering for business logic, understanding "context windows," and mitigating AI hallucinations in enterprise data.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.
• 7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate.
• Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential.
• Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required.
• Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role.
• Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow).
• Evaluate and select appropriate platforms and tools based on cost, security, and fit.
• Define how automation tools communicate with enterprise systems via APIs, webhooks, or database connections.
• Establish coding standards, reusable component libraries, and best practices for development teams to ensure consistency.
• Work with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control).
• Oversee the infrastructure sizing to support bots and high-volume AI inference requests.
• Collaborate with business analysts to determine if a process should be automated and how.
• Lead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rollout.
• Design the 'Control Room' strategy for monitoring bot health, AI model drift, and license utilization.
• Create failover strategies to ensure business-critical automations continue running during system outages.
• Experience with OCR and data extraction tools.
• Python, C#/.NET.
• PowerShell or Bash for infrastructure tasks.
• Ability to design solutions that can handle spikes in volume.
• Knowledge of load balancing and concurrent processing.
• Understanding of RBAC (Role-Based Access Control).
• Secure credential management.
• Understanding of Virtual Machines (VMs), VDI (Virtual Desktop Infrastructure), and Docker/Kubernetes.
• Setting up pipelines to automate the testing and deployment of bots.
• Version control (Git) strategies for automation teams.
Preferred:
• Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect.
Company:
Norman Regional Health System is a multi-campus system that serves healthcare needs throughout south central Oklahoma. Founded in 2005, the company is headquartered in Norman, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Norman Regional Health System employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom