... PhD preferred. * 5-7 years of experience in the application of medical statistics (pharma, CRO ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...
Quick apply
... PhD preferred. * 5-7 years of experience in the application of medical statistics (pharma, CRO ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...
Data Scientist II
Phoenix, AZ · On-site
Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Data Scientist II
Phoenix, AZ · On-site
Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Data Scientist II
Phoenix, AZ · On-site
Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ... Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian ...
Data Scientist II
Phoenix, AZ · On-site
Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ... Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian ...
Bayesian Phd information
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 are the key skills and qualifications needed to thrive as a Bayesian PhD, and why are they important?
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 is the difference between Bayesian Phd vs Data Scientist?
| Aspect | Bayesian Phd | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Statistics, Mathematics, or related field | Bachelor's or Master's in Data Science, Statistics, or related field |
| Work Environment | Research-focused, academic or specialized industry roles | Business-focused, tech companies, or consulting firms |
| Industry Usage | Academic research, advanced analytics, specialized modeling | Data analysis, machine learning, business insights |
| Common Search/Comparison | Yes | Yes |
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.
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 popular job titles related to Bayesian Phd jobs in Arizona? For Bayesian Phd jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bayesian Phd jobs in Arizona look for? The top searched job categories for Bayesian Phd jobs in Arizona are:
What cities in Arizona are hiring for Bayesian Phd jobs? Cities in Arizona with the most Bayesian Phd job openings:
Job description
Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.
Job Description:
Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from:
- Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives.
- Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports.
- Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
- Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables.
- Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity.
- Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates.
- Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud.
- Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.
Requirements:
- Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred.
- 5-7 years of experience in the application of medical statistics (pharma, CRO, academic).
- Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions.
- Experience in delivering customer projects to high quality standards.
- Experience in SAS and/ or R statistical software packages.
- Experience in study design and protocol and report-writing preferred.
- Experience of modelling and simulation techniques to explore complex study designs preferred.
- Experience of Bayesian approaches to design and analysis of clinical data preferred.
- Experience of early-phase drug development processes including innovative/ adaptive study design preferred.
Powered by JazzHR
eVdHdVETcO
About M. M. S.
Sourced by ZipRecruiter
Industry
Pharmaceutical and medicine manufacturing
Company size
1 - 10 Employees
Headquarters location
Los Angeles, CA, US
Year founded
1980