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Remote Data Science Neuroscience Jobs in Indiana

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Company Description Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support.

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Company Description Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support.

Deckers

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is

Bristol-Myers Squibb

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to

Zimmer, Inc.

Business Systems Senior Analyst

Warsaw, IN · On-site +1

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient's mobility is enhanced by a

Deckers

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is

Deckers

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to

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Remote Data Science Neuroscience information

What is a remote data science neuroscience?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.

What are the key skills and qualifications needed to thrive as a remote data science neuroscience professional?

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science neuroscience professionals typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.

What are the most commonly searched types of Data Science Neuroscience jobs in Indiana?

The most popular types of Data Science Neuroscience jobs in Indiana are:

What are popular job titles related to Remote Data Science Neuroscience jobs in Indiana?

For Remote Data Science Neuroscience jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Neuroscience jobs in Indiana look for?

The top searched job categories for Remote Data Science Neuroscience jobs in Indiana are:

What cities in Indiana are hiring for Remote Data Science Neuroscience jobs?

Cities in Indiana with the most Remote Data Science Neuroscience job openings:

Remote Data Science Neuroscience jobs near you
Infographic showing various Remote Data Science Neuroscience job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Platform Engineer

Indianapolis, IN • Remote

Renaissance Life and Health Insurance Company of America
Insurance Services • 201 - 500 employees
Learn more about Renaissance Life and Health Insurance Company of Americaexternal

$95K - $105K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services.

  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related tools.

  • Define data contracts, API standards, and integration patterns for partner development teams.

Job description

Job Title:

Data Platform Engineer

Number of Positions:

1

Location:

Indianapolis, IN

Location Specifics:

Fully Remote

Job Summary:

Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!

The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.

What will this role entail?

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.

  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.

  • Establish scalable platform architecture that can be extended as organizational needs evolve.

  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.

  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.

  • Implement data quality, governance, and lineage practices across the platform.

  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.

  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.

  • Perform other related duties as assigned.

Minimum Requirements:

  • Bachelor's degree in computer science, information systems, data engineering, or a related field preferred.

  • Five or more years of experience in data engineering, platform engineering, or a related technical role.

  • Strong hands-on experience with Microsoft Azure, including Azure Data Factory, Azure API Management, Azure Synapse, or related services.

  • Experience designing integration architectures, data contracts, and platform patterns for use by external or partner development teams.

  • Experience with data modeling, pipeline orchestration, and scalable data infrastructure.

  • Strong communication skills with the ability to collaborate effectively across engineering, data, product, and business teams.

  • Ability to operate with autonomy, sound judgment, and a solution-oriented mindset.

  • Willingness to learn and adopt new tools, technologies, and process improvements, including automation or AI-enabled solutions.

  • Uses AI tools responsibly within company, security, and compliance guidelines.

Base Salary Range: $95,000-105,000

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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