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Remote Data Science Neuroscience Jobs in Arizona

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 ...

Current undergraduate or graduate student studying public health, data science, social sciences, or ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

EDUCATION And EXPERIENCE Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling ...

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... S. in Computer Science, Data Science, MBA, or equivalent practical experience in the field. What ...

$20 - $22/hr

REMOTE OPTIONS, PHOENIX Categories: Research, Program Management, Misc/Other/Not Applicable OFFICE ... Selective Preference(s): • Pursuing a Bachelors in Economics, Data Science, Political Science ...

New

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote ...

Showing results 41-60

Remote Data Science Neuroscience information

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

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science neuroscience professionals typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.

What is a remote data science neuroscience?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.
What are the most commonly searched types of Data Science Neuroscience jobs in Arizona? The most popular types of Data Science Neuroscience jobs in Arizona are:
What are popular job titles related to Remote Data Science Neuroscience jobs in Arizona? For Remote Data Science Neuroscience jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Neuroscience jobs in Arizona look for? The top searched job categories for Remote Data Science Neuroscience jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Science Neuroscience jobs? Cities in Arizona with the most Remote Data Science Neuroscience job openings:

AI Training Specialist - Life Sciences

micro1 AI

Gilbert, AZ • Remote

$90 - $120/hr

Part-time

Posted 11 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 — 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.