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Datasets Jobs in Slidell, LA (NOW HIRING)

Process and analyze large-scale geospatial datasets * Create data visualization and reporting solutions * Conduct exploratory data analysis * Develop and maintain analytical pipelines * Collaborate ...

You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences. * Partner with the ...

Lead the "clean-up" of inaccurate or incomplete datasets. Utilize Python or SQL to identify outliers, handle missing values, and normalize data. * Load & Demand Analysis: Analyze historical load ...

Lead the "clean-up" of inaccurate or incomplete datasets. Utilize Python or SQL to identify outliers, handle missing values, and normalize data. * Load & Demand Analysis: Analyze historical load ...

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

Develop and manage end-to-end ETL pipelines for both real-time and batch processing, ensuring the secure and efficient migration of large-scale datasets from MSSQL environments to cloud-based data ...

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

Develop and manage end-to-end ETL pipelines for both real-time and batch processing, ensuring the secure and efficient migration of large-scale datasets from MSSQL environments to cloud-based data ...

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Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

Infographic showing various Datasets job openings in Slidell, LA as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

New Orleans, LA • Remote

$80 - $110/hr

Part-time

Posted 26 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.