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Phd Jobs in Texas (NOW HIRING)

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

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PhD in Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, Human Factors Engineering, Industrial Engineering, Civil Engineering, Applied Physics, Transportation Safety, Kinesiology ...

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Phd information

See Texas salary details

$14

$27

$36

How much do phd jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for phd in Texas is $27.43, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $30.67 per hour, depending on experience, location, and employer.

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

To thrive as a Ph.D. holder, you need advanced research abilities, critical thinking, subject matter expertise, and typically a doctoral degree in your field. Proficiency in data analysis tools (such as SPSS, R, or MATLAB), academic writing software, and sometimes specialized laboratory or computational systems is common. Strong communication, perseverance, and independent problem-solving skills set outstanding candidates apart. These competencies are crucial for producing original research, publishing findings, and contributing meaningful advancements to your discipline.

What can you work as with a PhD?

A PhD qualifies individuals for advanced research, academic, and specialized roles in fields such as science, engineering, social sciences, and humanities. Graduates often work as university professors, researchers, data scientists, policy analysts, or in leadership positions requiring expert knowledge and analytical skills.

Is a PhD worth it anymore?

A PhD can lead to specialized roles in academia, research, or industry, often requiring advanced skills and knowledge. While it can increase job prospects and earning potential, the value depends on the field, career goals, and job market demand for highly educated professionals.

What is the difference between Phd vs Data Scientist?

AspectPhdData Scientist
Required CredentialsDoctoral degree in a specialized fieldBachelor's or Master's degree, often with technical skills
Work EnvironmentAcademic, research labs, or industry R&DCorporate, tech companies, or consulting firms
Industry UsageResearch institutions, academia, R&D departmentsBusiness analytics, machine learning, data analysis
Common Search/ComparisonPhd vs Data Scientist

While a Phd focuses on advanced research and academic expertise, a Data Scientist applies analytical and technical skills to solve business problems. Both roles require strong analytical skills, but their work environments and career paths differ significantly.

What are some common challenges faced by PhD candidates during their research, and how can they overcome them?

PhD candidates often encounter challenges such as managing long-term research projects, handling unexpected results, and balancing academic responsibilities with personal life. Many also face periods of self-doubt or 'impostor syndrome,' especially when progress seems slow. Overcoming these challenges usually involves setting clear, achievable milestones, seeking regular feedback from advisors and peers, and building a supportive network within their academic community. Proactively communicating with supervisors and engaging in departmental activities can also help alleviate isolation and keep motivation high.

What is a PhD?

A PhD, or Doctor of Philosophy, is the highest academic degree awarded by universities in most fields of study. Earning a PhD typically involves several years of advanced coursework, comprehensive exams, and original research culminating in a dissertation or thesis. PhD graduates are recognized as experts in their chosen fields and often pursue careers in academia, research, or specialized industry roles.

What jobs can a PhD get you?

A PhD can qualify individuals for advanced roles in academia, research institutions, and industry, including positions such as research scientist, university professor, data scientist, or policy analyst. These roles often require specialized knowledge, analytical skills, and the ability to conduct independent research or complex problem-solving.

What jobs do PhD holders get?

PhD holders can pursue careers in academia as professors or researchers, as well as in industry roles such as data scientists, research scientists, consultants, and policy analysts. They often work in environments requiring advanced research, critical thinking, and specialized knowledge, and may also hold positions in government, healthcare, or technology sectors.
What are the most commonly searched types of Phd jobs in Texas? The most popular types of Phd jobs in Texas are:
What cities in Texas are hiring for Phd jobs? Cities in Texas with the most Phd job openings:
Infographic showing various Phd job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $57,059 per year, or $27.4 per hour.

Current PhD - Data Science Internship - Summer 2027

Capital One

Plano, TX

Full-time

Posted 21 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Current PhD - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier:

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

  • Must be continuing in the same course of study of your PhD degree following completion of the internship

  • At least 6 months experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

  • At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern


Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern


McLean, VA: $176,000 - $176,000 for Data Science PhD Intern


New York, NY: $192,000 - $192,000 for Data Science PhD Intern


Plano, TX: $160,000 - $160,000 for Data Science PhD Intern


Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern


San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern


San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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