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Phd Science Jobs in Missouri (NOW HIRING)

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site

Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar. * Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

Jobtailor

Principal Applied Scientist

California, MO · On-site

$180 - $280/hr

Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline * Minimum ...

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar. * Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

Jobtailor

Senior Data Scientist

California, MO · On-site

$120 - $180/hr

... data science experience; or a PhD in a related technical field + 1+ years of post‑grad quantitative analysis and data science experience * 5+ years of experience using SQL or similar big data ...

Bioio, Inc.

Be Seen First

Senior Scientist

Saint Louis, MO · On-site

$90K - $125K/yr

Senior Scientist Bioio, Inc. | St. Louis, MO (on-site) | Full-time We're a preclinical drug ... You: * PhD in cell biology, biochemistry, pharmacology, or similar preferred but not required.

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Phd Science information

See Missouri salary details

$23K

$45.4K

$74.1K

How much do phd science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for phd science in Missouri is $45,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,100.00 and $48,800.00 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 Missouri?

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

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

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

What cities in Missouri are hiring for Phd Science jobs?

Cities in Missouri with the most Phd Science job openings:

Phd Science jobs near you
Infographic showing various Phd Science job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,391 per year, or $21.8 per hour.

Director, External Science Lead - Biologics Discovery and Design

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

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

Job description

  • Lead global networking and sourcing of external biologics discovery and protein engineering technologies
  • Identify and evaluate AI/ML-enabled platforms for protein design, structure prediction, and design-make-test workflows
  • Partner with Bio-Molecular Design to define high-impact use cases and integration pathways into internal workflows
  • Drive alignment and adoption across all Research Units and partner lines
  • Build and lead cross-functional diligence teams to evaluate scientific and strategic fit
  • Shepherd prioritized opportunities through governance and deal processes with BD and Legal
  • Leverage internal capabilities to position Pfizer as partner-of-choice and enable collaboration success
  • Represent Pfizer externally at key biologics and platform technology forums
  • Engage academia, biotech, venture, and consortia to source and advance technologies
  • Lead diligence, governance, and partnership execution aligned with strategic priorities
Requirements
  • PhD or similar advanced degree
  • 5+ years of relevant industry experience, including significant experience in biologics discovery, protein engineering, or a related discipline
  • Experience in business development, alliance management, or technology partnerships
  • Knowledge of early developability and biologics optimization considerations
  • Experience evaluating external scientific opportunities and driving prioritization
  • Experience working in cross-functional, matrix organizations
  • Strong verbal, written, and presentation communication skills
  • Experience communicating to different business groups/lines and influencing senior stakeholders
  • Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity
  • Curiosity for exploring how AI tools can improve outcomes
  • Understanding of responsible AI practices, including risk management and ethical use
  • Preferred: experience in pharmaceutical drug development (Idea to Candidate) process
  • Preferred: previous experience in biotechnology companies and/or venture investment
  • Preferred: experience in process development, formulation, or drug product technologies
  • Breadth of diverse leadership experiences and capabilities, including influencing and collaborating with peers, developing and coaching others, and overseeing and guiding colleagues' work
  • Ability to travel to partnering conferences, scientific meetings, Pfizer and collaborator sites approximately 20% of the time
  • Must be authorized to be employed in the U.S. by any employer
  • Requires permanent work authorization in the United States
  • U.S. work visa sponsorship is not available now or in the future
Core Competencies

Demonstrates expertise in biologics discovery and protein engineering, with a strong focus on AI/ML-enabled platforms and cross-functional collaboration. Proven ability to lead strategic partnerships and influence stakeholders while ensuring alignment with organizational goals.

Highest-signal resume keywords
  • PhD Or Similar Advanced Degree
  • 5+ Years Industry Experience In Biologics Discovery
  • Business Development Experience
  • AI Tools Proficiency
  • Cross-Functional Team Leadership
ATS Optimization KeywordsHard Skills
  • Biologics Discovery
  • Protein Engineering
  • AI/ML Platforms Evaluation
  • Governance Processes
  • Partnership Execution
  • Scientific Opportunity Evaluation
  • Biologics Optimization
  • Process Development
  • Formulation Technologies
  • Drug Product Technologies
Soft Skills
  • Strong Communication Skills
  • Influencing Senior Stakeholders
  • Collaboration
  • Coaching And Developing Others
  • Curiosity For AI Tools
Industry Keywords
  • Pharmaceutical Drug Development
  • Venture Investment
  • Matrix Organizations
  • Responsible AI Practices
  • Risk Management
Tools & Technologies
  • ChatGPT
  • Microsoft Copilot
  • Generative Technologies
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