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How much do internship bayesian jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship bayesian in Ridgefield, CT is $17.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.13 per hour, depending on experience, location, and employer.

What is an Internship in Bayesian analysis?

An Internship in Bayesian analysis is a temporary, practical position focused on applying Bayesian statistical methods to real-world problems. Interns typically work under the supervision of experienced data scientists or statisticians, assisting with research, data modeling, and computational analysis using Bayesian techniques. These internships are valuable for students or recent graduates looking to gain hands-on experience in probabilistic modeling, data analysis, and statistical inference. Such internships often require a strong mathematical background and familiarity with programming languages like Python or R.

What are some common challenges interns face when working on Bayesian analysis projects, and how can they overcome them?

Interns working on Bayesian analysis projects often encounter challenges such as understanding complex statistical principles, learning new software (like Stan or PyMC), and interpreting probabilistic results. To overcome these obstacles, it's helpful to actively seek guidance from mentors, participate in team discussions, and utilize available learning resources. Collaborating closely with experienced team members and regularly reviewing project code and results can accelerate learning and help interns gain confidence in applying Bayesian methods to real-world problems.

What are the key skills and qualifications needed to thrive as a Bayesian Internship, and why are they important?

To thrive in a Bayesian Internship, you need a solid background in statistics, probability theory, and data analysis, typically supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with programming languages such as Python or R, and experience with statistical software and Bayesian modeling tools (e.g., Stan, PyMC) are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with research teams. These skills are essential for accurately applying Bayesian methods to real-world data and effectively communicating insights.

What is the difference between Internship Bayesian vs Data Analyst Intern?

AspectInternship BayesianData Analyst Intern
Required CredentialsRelevant coursework in Bayesian statistics, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentResearch-focused, collaborative teams in tech or research firmsBusiness or tech companies, data-driven projects
Employer & Industry UsageUsed in research, AI, machine learning sectorsCommon in finance, marketing, tech industries
Search & Comparison IntentUnderstanding roles involving Bayesian methodsExploring data analysis internship opportunities

Internship Bayesian typically involves applying Bayesian statistical methods in research or AI projects, requiring knowledge of Bayesian theory and programming. Data Analyst Internships focus on analyzing datasets, creating reports, and supporting business decisions. While both roles involve data skills, Internship Bayesian emphasizes probabilistic modeling, whereas Data Analyst Internships focus on data visualization and reporting.

Manager, Biostatistics

Regeneron Pharmaceuticals

Tarrytown, NY • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Build our future together:

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Manager to join our Biostatistics team. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

This position is for a qualified statistician/biostatistician to support Statistical Innovation and Multimodal Evidence Synthesis (SIMES) team within Global Development.

The incumbent will work with cross-functional teams to articulate drug development questions, assess the feasibility of endpoints and frame statistical approaches to address those questions, design clinical experiments and interventional studies to generate and analyze the resulting data, and work with teams to appropriately interpret the results and make decisions. The incumbent will work with clinical trial data, real world data (RWD) integrations with clinical trials, as well as other external data sources. They will use innovative trial designs including but not limited to Bayesian, propensity scores and other methods, for causal inference. The incumbent will co-author any research protocols, statistical analysis plans, and perform statistical analyses for model informed drug development. The incumbent will leverage AI/ML methods for predictive modeling, code generation, data extraction workflows, and to enhance model development and deployment. The incumbent will also develop and deliver training to non-statistical colleagues, collaborate on development of new infrastructure and processes, and influence the external pharmaceutical industry and regulatory environment through participation in professional associations, conferences, and publications.

When & where:

  • Work Location: Tarrytown, NY or Warren, NJ

  • Hybrid; 4 days per week on site

Discover your role:

  • Interacts with Medical and Clinical Scientists, Regulatory Affairs, Preclinical scientists, Statisticians and AI scientists, Statistical Programming, Data Management, Medical Writing, and others to design methodologies to advance clinical development.

  • Develops any research proposals or protocols if needed and statistical analysis plans and determines appropriate statistical methodology for data analysis.

  • Evaluates appropriateness of available software for planned analyses and determines needs for use of novel statistical methodology or tools.

  • Analyzes data and interprets results from clinical trials and data from other sources to facilitate program-level decision making.

  • Prepares presentations and written reports to effectively communicate results to the project team, management, and regulatory agencies. Co-presents findings to management.

  • Is involved in research activities for innovative statistical methods and applications in clinical trial development (e.g., external control arms, hybrid designs, master protocols), with expectation of publications and methodological contributions, as well as providing training to non-statisticians.

This role requires:

  • PhD or equivalent degree in statistics/biostatistics with > 2 years' experience or related disciplines with internship experience,

  • MS degree in statistics/biostatistics with >7 years' experience in the pharmaceutical industry as a statistician.

  • Excellent influence and leadership skills, and a demonstrated ability to collaborate in a cross-functional environment.

  • Must be able to work productively in a fast-paced collaborative environment, with demonstrated critical thinking skills, time management skills, and effective communication skills.

  • Solid knowledge of statistical analysis methodologies, experimental and clinical trial design

  • Expertise in statistical software such as R or SAS is required

  • Experience with or strong willingness to learn LLM agents (e.g., Claude, Gemini) for statistical workflows preferred

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$128,600.00 - $210,000.00

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