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Phd Python Jobs in Spring, TX (NOW HIRING)

FWI & AI Scientist

Houston, TX · On-site

$100 - $150/hr

PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or equivalent experience. * Deep ... Strong Python programming skills with hands‑on experience in PyTorch or JAX. #J-18808-Ljbffr

New

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

Required : • Master's or PhD in Computer Science, Mathematics, Engineering, or a related field ... Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn). • Hands-on ...

Strong proficiency in Python; familiarity with modern AI/ML frameworks, ML-Ops, and large-scale ... Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a ...

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques. • MS or PhD in Computer Science, Robotics, or a related quantitative field. • ...

... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code ...

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

Showing results 41-60

Phd Python information

See Spring, TX salary details

$20.5K

$124.6K

$180.2K

How much do phd python jobs pay per year?

As of Aug 20, 2026, the average yearly pay for phd python in Spring, TX is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $146,400.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as a PhD Python developer?

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.

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

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.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas and use Python as a primary tool for research and data analysis. Gaining expertise in Python, along with a strong foundation in research methods, is essential for completing such a PhD.

What are 10 careers related to Python?

Careers related to Python include software developer, data scientist, machine learning engineer, backend developer, automation engineer, data analyst, research scientist, DevOps engineer, cybersecurity analyst, and quantitative analyst. These roles often require strong programming skills, knowledge of libraries like Pandas or TensorFlow, and experience with software development environments. Python's versatility makes it applicable across industries such as finance, healthcare, technology, and research.

Which Phd Python job is in demand?

PhD Python roles in data science, machine learning, and artificial intelligence are currently in high demand, especially in research institutions, tech companies, and finance. These positions often require strong programming skills, experience with frameworks like TensorFlow or PyTorch, and advanced knowledge of algorithms and data analysis.

What job categories do people searching Phd Python jobs in Spring, TX look for?

The top searched job categories for Phd Python jobs in Spring, TX are:

What cities near Spring, TX are hiring for Phd Python jobs?

Cities near Spring, TX with the most Phd Python job openings:

AI Training Specialist - Life Sciences

micro1 AI

Conroe, TX • Remote

$90 - $120/hr

Part-time

Posted 23 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.