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Phd In Statistics Jobs in Detroit, MI (NOW HIRING)

Manager, Biostatistics

Warren, MI · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

Biostatistician

Dearborn, MI · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What are popular job titles related to Phd In Statistics jobs in Detroit, MI?

For Phd In Statistics jobs in Detroit, MI, the most frequently searched job titles are:

Infographic showing various Phd In Statistics job openings in Detroit, MI as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 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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