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Remote Data Science Physics Jobs in Lancaster, TX

micro1 AI

AI Training Specialist - Physics

Irving, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Garland, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Carrollton, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Arlington, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Fort Worth, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Dallas, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Mesquite, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Plano, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

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Showing results 21-40

All JobsData Science Physics JobsRemote Data Science Physics JobsRemote Data Science Physics Jobs in Lancaster, TX

Remote Data Science Physics information

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 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 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.

Can I get a remote data science physics job with a physics degree?

A physics degree can qualify you for remote data science physics roles, especially if you have skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL. Many employers value strong analytical and problem-solving skills, and remote positions often require proficiency in collaboration platforms and self-motivation. Additional certifications or experience in machine learning or data engineering can enhance your prospects in this field.

Can I work remotely as a data scientist?

Remote data science positions are common in the industry, allowing professionals to work from various locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and often involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for data scientists.

What are popular job titles related to Remote Data Science Physics jobs in Lancaster, TX?

For Remote Data Science Physics jobs in Lancaster, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Physics jobs in Lancaster, TX look for?

The top searched job categories for Remote Data Science Physics jobs in Lancaster, TX are:

What cities near Lancaster, TX are hiring for Remote Data Science Physics jobs?

Cities near Lancaster, TX with the most Remote Data Science Physics job openings:

Remote Data Science Physics jobs near you

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 19 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.