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Remote Python Data Analysis Jobs in South Carolina

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal ... Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ...

New

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

... remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in ... Knowledge of Python scripting language required for automation of GIS tasks * Processing and ...

... remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in ... Knowledge of Python scripting language required for automation of GIS tasks * Processing and ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

... remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in ... Knowledge of Python scripting language required for automation of GIS tasks * Processing and ...

Showing results 21-40

Remote Python Data Analysis information

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Digital Chemistry Specialist - Remote

micro1 AI

Charleston, SC • Remote

$90 - $120/hr

Part-time

Posted 22 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.