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Remote Data Science Physics Jobs in Oklahoma (NOW HIRING)

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

... on argenx's scientific data, products and trials, and is responsible for engagement with Key ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Cheminformatics Specialist - Remote

Tulsa, OK ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Cheminformatics Specialist - Remote

Norman, OK ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Cheminformatics Specialist - Remote

Edmond, OK ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Showing results 21-40

Remote Data Science Physics information

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.
What are popular job titles related to Remote Data Science Physics jobs in Oklahoma? For Remote Data Science Physics jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Physics jobs in Oklahoma look for? The top searched job categories for Remote Data Science Physics jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Data Science Physics jobs? Cities in Oklahoma with the most Remote Data Science Physics job openings:

AI Training Specialist - Life Sciences

micro1 AI

Tulsa, OK โ€ข Remote

$90 - $120/hr

Part-time

Posted 10 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.