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Phd In Statistics Jobs in Vermont (NOW HIRING)

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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 Vermont? For Phd In Statistics jobs in Vermont, the most frequently searched job titles are:
Infographic showing various Phd In Statistics job openings in Vermont 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.

Member of Technical Staff - Integration Engineering

Globalfoundries

Essex Junction, VT

$98K - $176K/yr

Full-time

Re-posted 29 days ago


GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

67th of 536 rated manufacturers


Job description

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role:

As a Process Integration Engineer focusing on BEOL (Back End of Line) you will be part of the BEOL Integration department, participating in developing, maintaining and improving advanced high-volume manufacturing technologies in GF's state-of-the-art 200mm wafer fab (Fab9) in Essex, VT. Additionally, process transfer and integration module development activities are part of our job. Reporting to the Fab9 Process Integration management, the primary responsibility of this position is to manage the BEOL part of an integrated CMOS process flow, drive improvements to enhance reliability, yield and manufacturability of this flow. This role is daytime hours, Monday through Friday, fully onsite.

Essential Responsibilities:

  • Identifyand prioritize projects that align with strategic goals andobjectives
  • Lead and coordinate a team of up to 5 staff to assess risk and execute tasks to achieve the objective
  • Exercise clear and concise communication of project status vs expected result
  • Sustain and improve manufacturing technologies through identification of risk and risk mitigation strategies that include reducing defectivity, improving process stability (Cp/Cpk), improving processcontroland improving processes / processing sequences
  • Detect and react to signals to support quality and delivery performance
  • Driveappropriate actionsto stop,contain, address the cause, and drive disposition
  • Identifyand drive cost reduction through improved yield,identifylower cost materials, simplified or improved process sequences, and migration to strategic platforms
  • Transfer of technologies into or out of the fabricator
  • Collaborate with technology development and process module teams to implement best practices intonew technologiesduring development and qualification
  • Identify, resolve, and improve process integration issues and related problems
  • Perform project management and data analysis
  • Work with cross function teams to resolve technical & yield concerns
  • Develop and improve test structures that enable fast and rigorous characterization of process
  • Drive CIP (Continuous improvement plans) to deliver organizational goals
  • Work and collaborate other projects and/or assignments as needed

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Securityrequirementsand programs
  • Other duties as assigned by manager / supervisor

Required Qualifications:

  • Education: Bachelor of Science degree in Math, Mechanical Engineering, Electrical Engineering, Physics, or a related discipline + 6-7 years of semiconductor engineering manufacturing experienceORMS + 5-6 years semiconductor engineering manufacturing experienceORPhD + 3-4 years semiconductor engineering manufacturing experience
  • Experience: Prior front end of line process integration experience, and/or MOL and BEOLexperience
  • Project management skills / team leadership experience - i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity and influence without authority
  • Travel - Up to 10%
  • Fluency in English Language - both written & verbal
  • Ability to work effectively and efficiently with diverse teams
  • Strong structured problem-solving skills and experience
  • Ability to apply principles of Statistical Process Control (SPC) and Design of Experiments (DOE)
  • Strong leadership and communication skills

Preferred Qualifications:

  • Education: Master's degree in science, math, engineering, semiconductor manufacturing, or a related discipline
  • Broad understanding of device integration including Aluminum & Copper Interconnect technology, Passive Device structures, and MIM Cap integration.
  • Working device physics understanding
  • Ability to analyze / characterize PCM and physical data in support of project identification and demonstration of improvement
  • Knowledge of Lean Manufacturing principles

Expected Salary Range

$98,000.00 - $176,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law


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