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Phd Python Jobs in Minnesota (NOW HIRING)

skywater

OPC / DFM Principal Engineer

Minneapolis, MN · On-site

... PhD * 5+ years of experience in development and implementation of model-based OPC methods at a ... Familiarity with Python or similar scripting language for handling large data sets composed of ...

skywater

OPC / DFM Sr Staff Engineer

Minneapolis, MN · On-site

... PhD * 3+ years of experience in development and implementation of model-based OPC methods at a ... Familiarity with Python or similar scripting language for handling large data sets composed of ...

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Phd Python information

What Python jobs are in-demand?

Python developers are in high demand across industries such as technology, finance, healthcare, and data science. Common roles include data scientist, machine learning engineer, backend developer, and automation engineer, often requiring knowledge of frameworks like Django or Flask and proficiency in data analysis tools. These positions typically value strong programming skills, problem-solving ability, and experience with cloud platforms and version control systems.

Can we do 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 pursue doctoral degrees in related areas and use Python as a primary tool for research and development. Earning a PhD requires completing original research, coursework, and a dissertation in a relevant field, with proficiency in Python being a valuable skill for data analysis, machine learning, and software development.

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.

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.

Is Python in high demand?

Python is in high demand across many industries, especially for roles involving data analysis, machine learning, web development, and automation. Python developers with skills in frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow are highly sought after in the job market.

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, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or PyTorch. These positions can offer salaries exceeding $150,000 annually, especially with experience, certifications, and work in finance, tech, or research environments.

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.
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What job categories do people searching Phd Python jobs in Minnesota look for? The top searched job categories for Phd Python jobs in Minnesota are:
What cities in Minnesota are hiring for Phd Python jobs? Cities in Minnesota with the most Phd Python job openings:
Phd Python jobs near you

Senior Director, Scientific Affairs & Strategic Growth

Azimuth Research Group

Virginia, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Senior Director of Scientific Affairs oversees scientific opportunities related to -research projects at Azimuth Research Group. The Senior Director, Scientific Affairs will actively support scientific leadership as well as scientific business development.

Essential Duties and Responsibilities: (other duties may be assigned)

Actively coordinates with the Senior Vice President, Scientific Affairs on strategic scientific development planning and specific opportunities.

Provides oversight for project work and relevant methods and management issues. Maintains high external visibility as recognized leader in research and key data asset knowledge.

Responsible for quantitative and qualitative programming and analytics, independently assisting with interpreting results, and overseeing other project staff in completion of related deliverables.

Responsible for scientific business development under the guidance of the Senior Vice President, Scientific Affairs

Travel is expected approximately 5-10% of the time with some international travel.

Qualifications

Extensive knowledge of available real world data utilized in the pharmaceutical industry, academic setting, or government research communities. Experience working in US Department of Health and Human Services (HHS), US Department of Defense (DoD), or US Department of Veterans Affairs (VA), a plus.

Deep understanding of research principles in given practice area and familiarity with key aspects of the pharmaceutical industry and their use of real world data and real world evidence.

Advanced level understanding of relevant methodology and statistics

Ability to build and implement statistical programs is a strong preference

Extensive knowledge of practical research implementation

Excels in handling client relations and may bring in new areas of business

Excellent communication skills including client-ready presentations

Education and Experience

PhD with greater than five years of experience; or Masters with greater than 10 years of experience.

Language Skills

Competent in written and spoken English.

Computer Skills

MS Word, PPT, Excel; and familiarity with data analysis software (Python, SAS, SPSS, R, or other relevant programming skills).

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