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Phd Science Jobs in Indiana (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Fishers, IN · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

micro1 AI

Physics Modeling Expert - Remote

Carmel, IN · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

micro1 AI

Research Consultant - Physics AI

Carmel, IN · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Roche

Expert Data Scientist

Indianapolis, IN

$129K - $240K/yr

Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred. * You have at least 5 years of commercial/industry experience, working in a hands-on ...

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Showing results 21-40

All JobsPhd Science JobsPhd Science Jobs in Indiana

Phd Science information

See Indiana salary details

$23.3K

$46K

$75.2K

How much do phd science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for phd science in Indiana is $46,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,600.00 and $49,500.00 per year, depending on experience, location, and employer.

What is a PhD in science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What are the typical career advancement paths for someone with a PhD in science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

Is a PhD worth it in science?

A PhD in science is valuable for careers in research, academia, and specialized industry roles that require advanced expertise and critical thinking skills. However, it often involves several years of study and research, and job prospects can vary depending on the field and geographic location. The decision to pursue a PhD should consider personal career goals and the demand for advanced scientific skills in the job market.

What can a PhD in science get you?

A PhD in science can lead to careers in research, academia, industry, or government, often involving roles such as scientist, researcher, or professor. It demonstrates advanced expertise and critical thinking skills, and may require additional certifications or experience depending on the field and position.

What is the salary of a PhD scientist?

The salary of a PhD scientist varies depending on the industry, experience, and location, but typically ranges from $70,000 to over $120,000 annually. Advanced skills, research experience, and specialized knowledge can lead to higher compensation, especially in biotech, pharmaceuticals, or research institutions.

What jobs can I do with a PhD in science?

A PhD in science qualifies individuals for research scientist, university professor, laboratory manager, or scientific consultant roles. These positions often require strong analytical skills, familiarity with laboratory tools, and the ability to conduct independent research or teach at higher education institutions.

What are popular job titles related to Phd Science jobs in Indiana?

For Phd Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Phd Science jobs in Indiana look for?

The top searched job categories for Phd Science jobs in Indiana are:

What cities in Indiana are hiring for Phd Science jobs?

Cities in Indiana with the most Phd Science job openings:

Phd Science jobs near you
Infographic showing various Phd Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $46,047 per year, or $22.1 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Fort Wayne, IN • Remote

$90 - $120/hr

Part-time

Posted 21 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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