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Remote Data Scientist Risk Jobs in Louisiana (NOW HIRING)

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

The Actuarial Data Engineer will partner with actuarial, data science, and finance teams to deliver ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

DPR Construction

Data and AI Project Analyst

Monroe, LA · On-site +1

Add AI-specific intake criteria (value, risk, data readiness) * Prioritize AI initiatives alongside ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

CSAA

... data into decisionready insights that drive business performance, portfolio management, and risk ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

Harris

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

Harris

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

Deloitte

System Test and Validation Lead

New Orleans, LA · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

Deloitte

System Test and Validation Lead

New Orleans, LA · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

Deloitte

System Test and Validation Lead

New Orleans, LA · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

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Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Baton Rouge, LA • Remote

$80 - $110/hr

Part-time

Posted 19 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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