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Data Science Phd Jobs in Missouri (NOW HIRING)

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.

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.

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 ...

New

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

Expert Data Scientist

Saint Louis, MO · On-site

$130 - $188/hr

Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred * Experience partnering with Marketing, Sales, and Consumer Insights ...

New

Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred * Experience partnering with Marketing, Sales, and Consumer Insights ...

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Showing results 1-20

Data Science Phd information

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

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
What cities in Missouri are hiring for Data Science Phd jobs? Cities in Missouri with the most Data Science Phd job openings:
Infographic showing various Data Science Phd job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Director, Data Science and Artificial Intelligence - Oncology / Prostate Cancer

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 3 days ago

New


Job description

Responsibilities
  • Serve as primary scientific and strategic business leader for clinical‑stage Prostate Cancer Programs within Data, Data Science, and AI
  • Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development
  • Provide subject matter expertise in prostate cancer clinical development, trial design, real‑world evidence generation, and ML/AI tools
  • With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
  • Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions
  • Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs
Requirements
  • Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high‑dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science)
  • A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real‑world evidence, or 8 years in clinical practice with outcomes research experience
  • Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
  • An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
  • Hands‑on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem‑solving abilities
  • Experience working with healthcare‑related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research
  • Prior experience working and driving external partnerships, either corporate or academic
  • Proven track record of managing timelines and driving key deliverables in a matrixed organization
  • Excellent communication, interpersonal, and written skills
Hard Skills
  • data science
  • machine learning
  • artificial intelligence
  • biostatistics
  • predictive technologies
  • data mining
  • clinical trial design
  • real‑world evidence generation
  • high‑dimensional datasets
  • clinical oncology
Soft Skills
  • problem-solving
  • communication
  • interpersonal skills
  • written skills
  • leadership
  • strategic thinking
  • collaboration
  • project management
  • time management
  • stakeholder engagement
Certifications & Qualifications
  • PhD
  • MD
  • PharmD
  • MS
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