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Flex Phd Statistics Jobs (NOW HIRING)

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

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Flex Phd Statistics information

What percentage of PhD students get jobs?

The employment rate for PhD graduates varies by field, but generally around 80-90% of PhD holders secure employment within a few years of graduation. For those with a focus on statistics or data analysis, skills in programming, statistical software, and research are highly valued in the job market.

What is the difference between Flex Phd Statistics vs Data Analyst?

AspectFlex Phd StatisticsData Analyst
Required credentialsPhD in Statistics or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, academic, or industry R&DBusiness, finance, marketing, or operations teams
Employer and industry usageUniversities, research institutions, tech companiesCorporations, consulting firms, government agencies

The main difference between Flex Phd Statistics and Data Analyst roles lies in the level of education and focus. Flex Phd Statistics positions typically require a PhD and involve advanced research and modeling, while Data Analysts usually hold a bachelor's or master's degree and focus on data processing and reporting. Both roles are essential in data-driven industries but serve different functions based on expertise and project scope.

What jobs can I get with a PhD in statistics?

A PhD in statistics qualifies individuals for roles such as data scientist, quantitative researcher, biostatistician, statistical consultant, and research scientist. These positions often require strong analytical skills, proficiency in statistical software like R or SAS, and the ability to interpret complex data for decision-making in industries like healthcare, finance, technology, and academia.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or those in specialized fields can offer higher salaries, especially with strong programming skills in R or Python and experience with statistical modeling. Salary levels also vary based on the sector, such as academia, healthcare, or technology companies.

Is 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 higher earning potential and specialized knowledge, it also involves significant time and financial investment, so its value depends on career goals and industry demand.
More about Flex Phd Statistics jobs
What cities are hiring for Flex Phd Statistics jobs? Cities with the most Flex Phd Statistics job openings:
What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Flex Phd Statistics jobs? States with the most job openings for Flex Phd Statistics jobs include:
Infographic showing various Flex Phd Statistics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Process Engineer 3

Full-time

Posted 4 days ago


Lam Research rating

8.6

Company rating: 8.6 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

49th of 417 rated machine equipment manufacturers


Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. Your expertise and knowledge play a crucial role our customers success, making an impact on the next generation of semiconductor breakthroughs.
In this role, you will directly contribute to The Deposition Group.
What you'll do
  • Conduct process engineering research, development, and evaluation in support of Lam's cutting-edge semiconductor equipment and systems.
  • Review and enhance processing techniques and methods applied in the manufacture and fabrication of products.
  • Develop and sustain new processes and process improvements to reduce production costs and increase yields.
  • Compile and analyze test data to establish next steps in process development and determine appropriate limits and variables for process specifications.
  • Collaborate internally to plan, collect data, analyze results, and report on customer demos for existing process applications.
  • Contribute to next generation product development and release activities supporting the semiconductor roadmap.
  • Provide leadership, clear direction, and guidance to process technicians to support execution activities.

Who we're looking for
Minimum Qualifications:
  • Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 3+ years of experience; or a PhD with no previous professional experience; or equivalent experience.

Preferred qualifications
  • Familiarity with working in a laboratory and on semiconductor equipment with experience in surface preparation and analytical techniques.
  • In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE).
  • Highly proficient in MATLAB, Python, or other similar scientific computing language.
  • Working knowledge of statistical analysis and problem-solving methodologies.
  • Experience with statistical tools (JMP, Minitab, etc.)
  • Background in Atomic Layer Deposition (ALD), Chemical Vapor Deposition (CVD), Plasma Enhanced Chemical Vapor Deposition (PECVD), or Physical Vapor Deposition (PVD).
  • Background in Plasma Physics, Reactive Ion Etching (RIE), Atomic Layer Etching (ALE), Inductively Coupled Plasma (ICP), Capacitively Coupled Plasma (CCP).
  • Knowledge of Material synthesis and material characterization.
  • Experience working in a collaborative and matrixed environment with diverse teams, semiconductor customers, and/or partners.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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