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Bayesian Phd Jobs (NOW HIRING)

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics ... Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics ... Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Intuit

Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics ... Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Intuit

Staff AI Scientist

Atlanta, GA

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics ... Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics ... Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Euro Math Soc

NY · On-site

... PhD students. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning and AI methods. You are expected to teach these types ...

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Bayesian Phd information

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.

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

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

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Bayesian Phd jobs near you
Infographic showing various Bayesian Phd job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Principal Biostatistician/Senior Principal Biostatistician

Remote

Precision for Medicine
Biotechnology Research and Development • 501 - 1,000 employees
Learn more about Precision for Medicineexternal

Full-time

Re-posted 12 days ago

Job description

Position Summary:

Provides statistical leadership and support for all phases of clinical development. Specific responsibilities include consulting with clients regarding clinical trial study design and regulatory strategy, writing and reviewing statistical methods and sample size sections of protocols, writing and reviewing statistical analysis plans of complex study designs, reviewing statistical analyses and presenting statistical results. Lead complex programs such as NDA/BLA/MAA submissions or complex, multi-protocol programs and provide statistical oversight. Serve as a subject matter expert for one or more areas (e.g., Bayesian adaptive study design, Survival analysis, DMC, submissions)

Essential functions of the job include but are not limited to:

  • Consult with clients regarding clinical trial study design and regulatory strategy
  • Develop and review statistical methods of clinical study protocols
  • Provide and/or verify sample size calculations
  • Author statistical analysis plans of complex study design
  • Review statistical analysis plans written by other biostatisticians
  • Review statistical output to ensure accuracy
  • Review statistical sections of clinical study reports
  • Generate and/or verify randomization schedules
  • Provide statistical analysis and reporting to Data Monitoring Committees (DMCs) as the unblinded reporting biostatistician
  • Work proactively with sponsors, internal study team, and external vendors
  • Serve as a Subject Matter Expert (SME) and develop/review procedural documents and work on new initiatives
  • Provide mentoring and training to other statisticians
  • Attend bid defense meetings for complex programs
  • Other duties as assigned

Qualifications:

Minimum Required:

  • Senior Principal Biostatistician level: Master's degree or equivalent in Statistics, Biostatistics, or related field with 12+ years of experience; PhD degree in Statistics, Biostatistics, or related field with 9+ years of experience
  • Principal Biostatistician level: Master's degree or equivalent in Statistics, Biostatistics, or related field with 10+ years experience; PhD degree in Statistics, Biostatistics, or related field with 7+ years experience

Other Required:

  • Broad experience with regulatory submissions
  • Extensive experience consulting with clients regarding clinical trial study design and regulatory strategy
  • Superior understanding of a statistical methodology (e.g., Bayesian adaptive study design, Survival analysis, Repeated measures)
  • Sound knowledge of industry standards such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
  • Experience with SAS

Preferred:

  • Experience with oncology and rare diseases
  • Experience with DMCs
  • Excellent communication and interpersonal skills
  • Excellent problem-solving skills
  • Excellent presentation skills
  • Excellent organizational and time management skills
  • Outstanding statistical skills

Competencies: 

  • Sound judgment/decision making
  • Ability to establish and teach others to maintain effective working relationships with coworkers, managers, and clients
  • Service oriented, accountable, and flexible
  • Competency in written and spoken English
  • Follow and train others on applicable regulations, including FDA, ICH, and Precision Policies and Procedures
  • At all times to promote the image of Precision, acting as an ambassador to the Company
  • Ensure that all internal systems are routinely updated as appropriate (e.g., timesheets, expense reports, financial reports, etc.) 

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