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Pipeline Pilot Jobs (NOW HIRING)

Redolent, Inc.

BIOVIA OneLab and Pipeline Pilot Developer

$49.50 - $65.25/hr

... Pipeline pilot. • Strong knowledge of JavaScript and Jquery. • Experience in working with various BIOVIA Components like Pipeline Pilot, Compose, CISPro, OneLab, ELN etc. • Experience in BIOVIA ...

eTeam

BIOVIA Solution Architect

$64.50 - $85/hr

Responsibilities : • Define end-to-end architecture across BIOVIA ONE Lab, Pipeline Pilot, ELN, LIMS, CISPro. • Design reusable patterns for scientific workflows, ELN/LIMS integrations, and data ...

Artech Information System LLC

Data Architect

Pennington, NJ · On-site

$64.25 - $82.75/hr

VBA, Pipeline Pilot, R, Python, or web service integrations. Skills in scientific application design and development with at least 8 or more years' experience. Working knowledge of software ...

3ds

Internship: AI Product Strategy Intern

San Diego, CA · On-site

$22 - $40/hr

Develop lightweight proof-of-concept pipelines, data analyses, and prototype workflows for internal enablement, customer workshops, and early pilots. * Accelerate portfolio convergence around ...

Redolent, Inc.

US_East | Software Architect_L3

... like Pipeline Pilot, Compose, CISPro, OneLab, ELN etc. • Experience in BIOVIA Configuration and Customization on latest versions. • Knowledge on SQL, Oracle, AWS / Azure Cloud services. • ...

HUB

Director, AI Strategy

Berkeley Heights, NJ · On-site

This role owns the AI strategy, use-case pipeline, pilot execution, and field adoption-ensuring AI investments deliver business results and are embraced by our field teams. Serving as the primary ...

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How much do pipeline pilot jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for pipeline pilot in the United States is $24.39, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.40 per hour, depending on experience, location, and employer.

What are some typical responsibilities and collaborative aspects of a Pipeline Pilot position?

Pipeline Pilots are responsible for designing, implementing, and maintaining data analysis pipelines that streamline laboratory or research data processing. On a daily basis, you might develop custom protocols, troubleshoot workflow issues, and support scientists by automating repetitive tasks. Collaboration is a key aspect of the role, as you'll often work closely with research scientists, software engineers, and data analysts to understand requirements and optimize solutions. This teamwork ensures that data flows efficiently, enabling faster decision-making and more effective research outcomes.

What are the key skills and qualifications needed to thrive in the Pipeline Pilot position, and why are they important?

To thrive as a Pipeline Pilot, you need a solid background in computational biology, cheminformatics, or data science, often supported by a relevant degree. Proficiency with BIOVIA Pipeline Pilot software, scripting languages (such as Python or Perl), and experience in laboratory data workflows are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborating with interdisciplinary teams. These skills are essential for efficiently designing, deploying, and maintaining data processing pipelines crucial to scientific research and drug discovery.

What is a Pipeline Pilot job?

A Pipeline Pilot is responsible for designing, developing, and maintaining data pipelines to streamline workflows, often in industries like biotechnology, pharmaceuticals, and data science. They use software like Pipeline Pilot by BIOVIA to automate data analysis, integrate diverse data sources, and optimize computational processes. Their role typically involves scripting, troubleshooting, and ensuring efficient data processing to support research and innovation. Strong analytical skills and experience with programming languages such as Python or SQL are often required.

More about Pipeline Pilot jobs
What cities are hiring for Pipeline Pilot jobs? Cities with the most Pipeline Pilot job openings:
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Pipeline Pilot jobs near you
Infographic showing various Pipeline Pilot job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $50,722 per year, or $24.4 per hour.
BIOVIA Pipeline Pilot Developer

BIOVIA Pipeline Pilot Developer

Info Way Solutions

Pleasanton, CA • On-site

Other

Posted 20 days ago

Key responsibilities

  • Design, build, and optimize visual data workflows and reusable subprotocols within the BIOVIA Pipeline Pilot environment to automate complex data processing tasks.

  • Write custom calculations and data manipulation logic using PilotScript and integrate external scripts in Python, R, Perl, or SQL.

  • Connect Pipeline Pilot workflows with core life sciences and research data systems, including Electronic Lab Notebooks, LIMS, registration databases, and data warehouses.

Job description

BIOVIA Pipeline Pilot Developer.
Protocol Development & Automation: Design, build, and optimize end-to-end visual data workflows (protocols) and reusable subprotocols within the BIOVIA Pipeline Pilot environment to automate complex data processing tasks.
Custom Component Scripting: Write high-performance, custom calculations and data manipulation logic utilizing PilotScript, as well as integrating external scripts written in Python, R, Perl, or SQL.
Enterprise System Integration: Connect Pipeline Pilot workflows directly with core life sciences and research data systems, including Electronic Lab Notebooks (ELNs), LIMS, chemical/biological registration databases, and Oracle/PostgreSQL data warehouses.
Web Services & Deployment: Package intricate computational pipelines into user-friendly interactive web reports, dashboards, and REST/SOAP web services for non-technical research scientists and business teams.
Domain-Specific Data Handling: Apply specialized component collections (e.g., Cheminformatics, Bioinformatics, or Reporting) to clean, analyze, and visualize complex scientific data types, such as molecular structures, assay data, or high-throughput screening arrays.
Performance Optimization: Troubleshoot, debug, and fine-tune existing pipelines to improve data throughput, handle massive parallel datasets efficiently, and ensure server-side stability.

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