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Remote Public Policy Data Science Jobs in Missouri

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

$88K - $106K/yr

This is a fully remote opportunity for a data engineering professional specializing in web scraping ... Requirements: * Bachelor's or master's degree in Computer Science, Engineering, or a related ...

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

$95K - $131K/yr

What You'll Do * Collaborate with Data Scientists and Engineers across the full ML lifecycle ... Ability to learn and comply with all company policies, procedures, standards and guidelines

Remote-first culture centered on trust, ownership, collaboration, and delivery excellence. * Opportunity to work alongside experienced specialists across cloud engineering, data science, software ...

New

This position can be remote within the identified region with 40% travel. Required Minimum ... Advanced degree related to public policy preferred * Direct lobbying on bio-pharmaceutical health ...

Showing results 21-40

Remote Public Policy Data Science information

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Digital Chemistry Specialist - Remote

micro1 AI

Springfield, MO • Remote

$90 - $120/hr

Part-time

Posted 24 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.