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Phd Science Jobs (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site

$48K - $110K/yr

Details Open Date 08/06/2026 Requisition Number PRN45846B Job Title Research Scientists (non-PhD) Working Title Research Scientists (non-PhD) Career Progression Track P00 Track Level P3 - Career, P2 ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site

$48K - $110K/yr

Details Open Date 08/06/2026 Requisition Number PRN45846B Job Title Research Scientists (non-PhD) Working Title Research Scientists (non-PhD) Career Progression Track P00 Track Level P3 - Career, P2 ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site

$48K - $110K/yr

Details Open Date 08/06/2026 Requisition Number PRN45846B Job Title Research Scientists (non-PhD) Working Title Research Scientists (non-PhD) Career Progression Track P00 Track Level P3 - Career, P2 ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site

$48K - $110K/yr

Details Open Date 08/06/2026 Requisition Number PRN45846B Job Title Research Scientists (non-PhD) Working Title Research Scientists (non-PhD) Career Progression Track P00 Track Level P3 - Career, P2 ...

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Phd Science information

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$24.5K

$48.4K

$79K

How much do phd science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for phd science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 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.
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What states have the most Phd Science jobs?

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Phd Science jobs near you
Infographic showing various Phd Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Research PhD Scientist, Drug Discovery Data for AI/ML

StaffRight Associates, LLC

Manhattan, NY • On-site

$250K - $400K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Practice Group: ML Data Team / Quantitative Research & Technology

About the Role:

Innovation in quantitative science and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting for an elite talent for a premier global quantitative investment and technology firm. We are seeking an exceptional PhD Scientist, Drug Discovery Data for AI/ML to join a highly collaborative, intellectually rigorous team where computational excellence is the standard.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world execution.

Key Responsibilities:

  • Architect & Build: Design, identify, curate, and analyze proprietary scientific datasets (primarily chemical and biological) to shape and implement the firm''''s overarching drug discovery data strategy.

  • Data & Research Execution: Translate complex scientific datasets and abstract biological/chemical challenges into clear, scalable, high-performance frameworks to support machine learning models.

  • Systemic Optimization: Identify technical friction points in data curation pipelines, eliminate bottlenecks, and enhance operational velocity across high-concurrency computational environments.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly with machine learning researchers, computational scientists, and leadership to support internal and collaborative drug discovery programs.

What You Bring:

  • Academic Pedigree: Ph.D. in Medicinal Chemistry, Pharmacology, Biology, or a related STEM discipline.

  • Technical Mastery: Strong command of core concepts and tools such as Chemical Datasets, Biological Datasets, Assay Development, Linux, Python, Molecular Dynamics, and Machine Learning.

  • Analytical Precision: Proven track record of solving multi-faceted problems, supported by hands-on laboratory experience in an industry setting (5+ years in pharmaceutical or biotech companies preferred).

  • Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution under pressure in an interdisciplinary environment.

  • Compensation & Work Schedule

    • Base Salary: $250,000 – $400,000 annually, plus variable compensation (sign-on and year-end bonuses) and full benefits including relocation assistance.

    • Work Model: Hybrid schedule (In-Office Tuesday through Thursday; Option to work from home Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We work to put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.

Apply