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Phd Python Jobs in Dallas, TX (NOW HIRING)

Targeted Talent

Principal systems software engineer

Dallas, TX · On-site

$133K - $179K/yr

Masters or PhD in Computer Science, Computer Engineering or a related discipline * Experience with Python and using C/C++ libraries from Python (e.g. using Cython) * Focus on software quality and ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

... Python, Spark, and Databricks. Key Responsibilities: Analytics Model Development: * Analyze use ... A PhD is preferred but not necessary. * Experience: * At least 5 years of experience in data ...

Photon

Machine Learning Engineer - NJ

Dallas, TX

... such as Python, Spark, and Databricks. Key Responsibilities * Analyze use cases and design ... A PhD is preferred but not necessary. * Experience: * At least 5 years of experience in data ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

... Python, Spark, and Databricks. Key Responsibilities: Analytics Model Development: * Analyze use ... A PhD is preferred but not necessary. * Experience: * At least 5 years of experience in data ...

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How much do phd python jobs pay per year?

As of Jun 19, 2026, the average yearly pay for phd python in Dallas, TX is $138,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $162,700.00 per year, depending on experience, location, and employer.

What high paying jobs can I get with a PhD?

A PhD in Python can lead to high-paying roles such as data scientist, machine learning engineer, AI researcher, or quantitative analyst, often requiring advanced programming, statistical skills, and experience with tools like TensorFlow or PyTorch. These positions typically offer salaries above industry average, especially in technology, finance, and research sectors.

Can I do PhD in Python?

A PhD in Python typically refers to research involving the Python programming language, often in computer science or data science fields. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas such as computer science, machine learning, or artificial intelligence, where Python is commonly used as a tool for research and development. These programs usually require a strong background in programming, research skills, and knowledge of relevant concepts like algorithms and data analysis.

What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

Are Python coders still in demand?

Python developers are currently in high demand across various industries due to its versatility in data analysis, machine learning, web development, and automation. Skills in frameworks like Django or Flask, along with proficiency in libraries such as Pandas or TensorFlow, enhance employability in this field.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, especially in finance and technology sectors. These positions often require advanced skills in algorithms, data analysis, and experience with frameworks like TensorFlow or PyTorch, and they can offer salaries exceeding $150,000 annually depending on experience and location.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
What are popular job titles related to Phd Python jobs in Dallas, TX? For Phd Python jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Phd Python jobs in Dallas, TX look for? The top searched job categories for Phd Python jobs in Dallas, TX are:
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Phd Python jobs near you

Data Scientist - Innovation - PhD (Irving, TX)

Caris Life Sciences

Irving, TX • On-site

Full-time

Posted 9 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Want to help build AI models for the next generation of cancer diagnostics? The models you build here have direct line-of-sight to translational research and clinical decision-making -- work with the potential to shape how cancer is detected, profiled, and treated. As a Data Scientist on the Innovation Team, you will develop machine learning and deep learning algorithms on molecular sequencing data (WGS, WES, RNA-seq, cfDNA), design analytic pipelines for novel biomarker discovery, and tackle the most challenging problems in liquid biopsy and translational oncology research.
About the Team
The Innovation Team is a small, fast-moving R&D group within Caris Life Sciences, drawing on proprietary clinical research data that no other team in oncology can match. We work closely with bioinformaticians, molecular biologists, and clinical scientists to develop high-impact AI models with the potential to shift the landscape of clinical outcomes. You will have the freedom to lead research projects end-to-end -- from problem framing to deployment -- and to shape the methods that drive Caris' R&D agenda. In your first year, success looks like leading one or two research projects from problem framing through deployment, contributing to a peer-reviewed publication or conference submission, and helping shape methods that inform Caris' diagnostic platform.
Job Responsibilities
  • Processing, manipulating, and analyzing large diverse datasets generated from NGS to develop biomarkers for cancer diagnosis, prognosis, and treatment.
  • Developing novel algorithms for feature extraction and biomarker discovery from molecular sequencing data.
  • Applying first-principles analysis to translate open research questions into tractable, well-defined problems.
  • Applying state-of-the-art machine learning and deep learning methods to biological and clinical research questions.
  • Creating rigorous evaluation frameworks and tracking experiments systematically using tools such as MLflow or Weights & Biases.
  • Authoring peer-reviewed research publications and presenting findings at scientific conferences.

Required Qualifications
  • PhD in Data Science, Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Engineering, Biophysics, or a related quantitative or biological field.
  • PhD recently completed, or up to approximately 2 years of post-doctoral research experience (academic or industry).
  • Demonstrated work on a cancer biology or translational research problem (PhD thesis chapter, peer-reviewed publication, or postdoc / industry role).
  • Hands-on experience with molecular sequencing data (e.g., WGS, WES, RNA-seq, cfDNA) including production-grade pipelines and analysis.
  • Hands-on experience with generative AI -- large language models, foundation models (e.g., genomic or protein language models), or agentic workflows applied to scientific or clinical data.
  • Proficiency with PyTorch and modern deep learning architectures (transformers, attention mechanisms), with demonstrated application of ML/DL to biological or clinical data.
  • First-author or co-first-author peer-reviewed publications in machine learning venues (e.g., NeurIPS, ICML, ICLR) or in bioinformatics / computational biology journals.
  • Strong Python; comfortable in Linux; proficient with git and collaborative workflows.

Preferred Qualifications
  • Multi-omics integration experience (genomics, transcriptomics, proteomics, methylation, etc.).
  • Experience with epigenetics -- DNA methylation analysis, chromatin biology, or related.
  • Interest in cell-free DNA, liquid biopsy, and next-generation early cancer diagnostics.
  • Interest in novel algorithm development for biomedical signal extraction in sequencing data.
  • Proficiency in cloud platforms (AWS EC2, S3, HealthOmics) and containerization (Docker).

Physical Demands
  • This role primarily involves sedentary work at a computer workstation, including extended periods of typing, reading screens, and virtual or in-person collaboration. Caris provides reasonable accommodations to qualified individuals with disabilities; candidates who need accommodation during the application or interview process are encouraged to contact Caris HR.

Training
All job-specific, safety, and compliance training are assigned based on the job functions associated with this employee.
Other
  • This position is on-site in Irving, TX. The team operates on a fast-iteration research cycle that benefits from close, in-person collaboration.
  • Relocation assistance may be available for qualified candidates.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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