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Remote Staff Data Scientist Jobs in Indiana (NOW HIRING)

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Staff Software Engineer

Atlanta, IN · On-site +1

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Computer Science degree or a closely related field (or foreign equivalent). * Technical leadership ...

Staff Software Engineer

Miami, IN · On-site +1

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Computer Science degree or a closely related field (or foreign equivalent). * Technical leadership ...

Staff Software Engineer

Austin, IN · On-site +1

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Computer Science degree or a closely related field (or foreign equivalent). * Technical leadership ...

Staff Software Engineer

Florence, IN · On-site +1

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Computer Science degree or a closely related field (or foreign equivalent). * Technical leadership ...

Staff Software Engineer

Boston, IN · On-site +1

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Computer Science degree or a closely related field (or foreign equivalent). * Technical leadership ...

Showing results 21-40

Remote Staff Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do remote staff data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote staff data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is a remote staff data scientist?

A Remote Staff Data Scientist is a professional who analyzes complex data to extract insights and support decision-making, all while working remotely. They use machine learning, statistical analysis, and data visualization techniques to solve business problems. This role typically requires strong programming skills in languages like Python or R, experience with data manipulation tools, and knowledge of cloud platforms. Remote staff data scientists collaborate with cross-functional teams through virtual communication tools to develop data-driven solutions. Working remotely provides flexibility but also requires self-discipline and effective communication skills.

What skills and qualifications are needed to thrive as a remote staff data scientist?

To thrive as a Remote Staff Data Scientist, you need strong analytical skills, proficiency in statistical modeling and machine learning, and a solid background in computer science or related quantitative fields. Familiarity with tools like Python, R, SQL, data visualization libraries, and cloud platforms, as well as relevant certifications, is highly valued. Exceptional communication, self-motivation, and the ability to collaborate effectively in virtual teams are important soft skills for this role. These skills ensure accurate data-driven insights, seamless teamwork, and productive remote work environments for organizational success.

What are common challenges faced by remote staff data scientists, and how can they be addressed?

Remote Staff Data Scientists may encounter challenges such as collaborating across different time zones, maintaining clear communication with team members, and accessing secure data remotely. To address these issues, many organizations use robust project management tools, regularly scheduled virtual meetings, and strong data security protocols. Building trust and proactively sharing progress through frequent updates can also help maintain alignment with your team. Adapting to remote work requires discipline and strong digital communication skills, but it also allows for greater flexibility and work-life balance. Successful data scientists leverage these practices to stay productive and connected while working remotely.

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

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

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

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

Infographic showing various Remote Staff Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

South Bend, IN • Remote

$80 - $110/hr

Part-time

Posted 20 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.