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Remote Principal Data Scientist Jobs in Indiana (NOW HIRING)

Circle

$200K - $260K/yr

Partner closely with data science and analytics to define forecasting, modeling, and decision ... Remote

Circle

$200K - $260K/yr

Partner closely with data science and analytics to define forecasting, modeling, and decision ... Remote

Circle

$200K - $260K/yr

Partner closely with data science and analytics to define forecasting, modeling, and decision ... Remote

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All JobsPrincipal Data Scientist JobsRemote Principal Data Scientist JobsRemote Principal Data Scientist Jobs in Indiana

Remote Principal Data Scientist information

What is a remote principal data scientist?

A Remote Principal Data Scientist is a senior-level data science professional who leads complex analytics projects and strategic data initiatives while working from a location outside the traditional office setting. They are responsible for designing advanced data models, mentoring junior data scientists, and collaborating with cross-functional teams to drive business decisions using data. This role typically involves setting data science standards, overseeing the development of predictive models, and ensuring the quality and impact of data-driven solutions. Remote Principal Data Scientists leverage communication technologies to coordinate with their teams and stakeholders across different locations.

What are the key skills and qualifications needed to thrive as a remote principal data scientist?

To thrive as a Remote Principal Data Scientist, you need advanced expertise in statistical analysis, machine learning, and programming (often with a PhD or master's in a quantitative field and substantial industry experience). Proficiency with tools like Python, R, SQL, cloud platforms (AWS, GCP, or Azure), and machine learning frameworks such as TensorFlow or PyTorch is critical, along with experience deploying models at scale. Exceptional communication, leadership, and problem-solving skills help you guide teams and translate complex data insights into actionable business strategies. These skills and qualities are essential to drive impactful, data-driven decisions and lead high-level projects effectively in a remote environment.

How do remote principal data scientists typically collaborate with cross-functional teams while working offsite?

Remote Principal Data Scientists frequently collaborate with product managers, engineers, and business stakeholders using virtual communication tools such as Slack, Zoom, and project management platforms. They often lead or participate in regular video meetings to discuss project goals, share data insights, and align on priorities. Establishing clear documentation, asynchronous updates, and strong communication habits are key to ensuring all team members remain informed and engaged. This collaborative approach helps maintain productivity and fosters innovation, even when team members are distributed across different locations.

What is the difference between Remote Principal Data Scientist vs Remote Data Scientist?

AspectRemote Principal Data ScientistRemote Data Scientist
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsBachelor's or Master's degree, some experience in data analysis
Work EnvironmentStrategic, leadership-focused, cross-functional teamsHands-on data analysis, model development, reporting
Employer & Industry UsageTech, finance, healthcare companies seeking senior expertiseStartups, tech firms, research institutions
Search & Comparison IntentUnderstanding senior vs. entry-level rolesEntry to mid-level data analysis roles

The Remote Principal Data Scientist typically holds a senior, strategic role with leadership responsibilities, requiring advanced credentials and extensive experience. In contrast, the Remote Data Scientist is more focused on hands-on analysis and model development, often suitable for those with less experience. Both roles are common in tech-driven industries but differ significantly in scope and seniority.

What are the most commonly searched types of Principal Data Scientist jobs in Indiana?

The most popular types of Principal Data Scientist jobs in Indiana are:

What are popular job titles related to Remote Principal Data Scientist jobs in Indiana?

For Remote Principal Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Principal Data Scientist jobs in Indiana look for?

The top searched job categories for Remote Principal Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Remote Principal Data Scientist jobs?

Cities in Indiana with the most Remote Principal Data Scientist job openings:

Remote Principal Data Scientist jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Fishers, IN • Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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