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Remote Data Pipeline Engineer Jobs in Indiana (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Contribute to building and enhancing data pipelines, reporting frameworks, and analytical standards ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Showing results 41-60

Remote Data Pipeline Engineer information

What is the difference between Remote Data Pipeline Engineer vs Data Engineer?

AspectRemote Data Pipeline EngineerData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's or higher in CS, Software Engineering; certifications like AWS or GCP often preferred
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote or on-site, enterprise or startup settings, cloud and on-premise infrastructure
Industry UsageTech, finance, healthcare, e-commerceSame as Remote Data Pipeline Engineer, broader focus on data infrastructure

Both roles focus on managing data workflows, but Remote Data Pipeline Engineers specialize in building and maintaining data pipelines specifically in cloud environments, often with a focus on ETL processes. Data Engineers have a broader scope, including designing data architectures and working with large-scale data systems. The roles overlap significantly, especially in skills and industry usage, but the Pipeline Engineer role emphasizes pipeline development and deployment in remote, cloud-based settings.

What are the most commonly searched types of Data Pipeline Engineer jobs in Indiana?

The most popular types of Data Pipeline Engineer jobs in Indiana are:

What job categories do people searching Remote Data Pipeline Engineer jobs in Indiana look for?

The top searched job categories for Remote Data Pipeline Engineer jobs in Indiana are:

What cities in Indiana are hiring for Remote Data Pipeline Engineer jobs?

Cities in Indiana with the most Remote Data Pipeline Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

Fishers, IN • Remote

$80 - $110/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


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.