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Remote Science Jobs in Oklahoma (NOW HIRING)

Novartis

Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non-promotional medical and scientific position. The MSL's key objective is to create impact through ...

Novartis

Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non-promotional medical and scientific position. The MSL's key objective is to create impact through ...

Novartis Pharmaceuticals Corporation

Band Level 5 Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non-promotional medical and scientific position. The MSL's key objective is to create impact ...

Novartis Pharmaceuticals Corporation

Band Level 5 Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non-promotional medical and scientific position. The MSL's key objective is to create impact ...

Stride, Inc.

High School Science Teacher

Midwest City, OK · Remote

$46.80K - $60.30K/yr

This position is remote and requires candidates who reside in Oklahoma. The High School Science teacher is a highly qualified, state certified educator responsible for delivering specific course ...

Strayos

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

Novartis Pharmaceuticals Corporation

Band Level 7 Summary #LI-Remote This is a field-based and remote opportunity supporting a team in ... As Regional Director, Medical Science Liaison (MSL), you will set the standard for Field Medical ...

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Remote Science information

What are the key skills and qualifications needed to thrive as a Remote Science professional, and why are they important?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What are the most commonly searched types of Science jobs in Oklahoma? The most popular types of Science jobs in Oklahoma are:
What are popular job titles related to Remote Science jobs in Oklahoma? For Remote Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Oklahoma look for? The top searched job categories for Remote Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Science jobs? Cities in Oklahoma with the most Remote Science job openings:
Remote Science jobs near you
Infographic showing various Remote Science job openings in Oklahoma as of May 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 48% Physical, 2% Hybrid, and 50% Remote job distribution.
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

Oklahoma City, OK • On-site, Remote

$40/hr

Full-time

Posted 17 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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