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Bayesian Phd Jobs in Wisconsin (NOW HIRING)

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?

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.

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 Wisconsin? For Bayesian Phd jobs in Wisconsin, the most frequently searched job titles are:
Associate Principal, Indirect Treatment Comparison (ITC), Evidence Synthesis

Associate Principal, Indirect Treatment Comparison (ITC), Evidence Synthesis

IQVIA

Milwaukee, WI • Remote

$125K - $350K/yr

Full-time

Posted 3 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

60th of 230 rated it services


Job description

Location: Remote, must be based in US

OVERVIEW

Associate Principals are methodologic experts with substantial experience in providing consulting services to Pharmaceutical clients. Associate Principals are project leaders who are responsible for implementing rigorous evidence synthesis research, overseeing the work of junior staff, and proactively managing the project timeline. They are detail oriented, act on anticipated project needs, and problem solve. Associate Principals contribute to the operational and fiscal health of the overall practice and training/success of junior staff.

REQUIRED KNOWLEDGE

Excellent knowledge of systematic literature review (SLR) methods and indirect treatment comparison (ITC). Significant experience leading and conducting ITC projects, including network meta-analysis, matching adjusted meta-analysis, etc. Expert understanding of global SLR guidelines and best practices, and substantial experience in implementing them.

RESPONSIBILITIES

  • Lead implementation of evidence synthesis projects to support HTA and/or regulatory submissions from pre-award to final delivery, as well as hands on development of deliverables
  • Lead project teams to ensure the execution of rigorous and high quality deliverables according to timelines
  • Expert ability to synthesize data qualitatively and quantitatively, and guide junior staff
  • Project management-manage projects, oversee the operational, financial, and administrative requirements of projects
  • Business development-independently qualify leads, develop proposals, attend bid defenses, and manage the contracting process
  • Support more senior staff on specific business initiatives as required
  • Work effectively across time zones as part of a global team

QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLS

Experience

Preferred:

  • PhD in epidemiology or biostatistics (other health sciences okay)
  • 5+ years of experience implementing evidence synthesis research in a pharma consulting environment

Minimum required:

  • Master's in epidemiology or biostatistics (other health sciences okay)
  • 7+ years of experience implementing evidence synthesis research in a pharma consulting environment

Client management

  • Must have 5+ years of experience as the client point of contact on projects

Technical skills and knowledge

  • Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs
  • Substantial experience independently leading projects that included meta-analysis, NMA, or other Bayesian statistical analysis
  • Solid understanding of SLR concepts, guidelines, and required rigor
  • Strong ability to quality check own and others work so that drafts are delivered with only minimal minor typographical errors
  • Exceptional attention to detail
  • Competency in using PowerPoint, Excel, and Word

Essential personal skills and behaviors

  • Fluency in English (spoken and written); strong business/scientific written English
  • A commitment to working collaboratively and effectively with others in and across the team to accomplish goals
  • A commitment to timely internal and client communication; with clients, IQVIA project managers and team members, IQVIA colleagues and others
  • A pragmatic and logical problem solving approach to projects
  • Strong attention to detail on all project deliverables even under time pressure.
  • A good understanding of project management with proven time management and personal organizational skills

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US