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Phd Python Jobs in Clinton Township, MI (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Dearborn, MI · Remote

$80 - $110/hr

... 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 ...

micro1 AI

Bioinformatics Software Engineer

Warren, MI · Remote

$80 - $110/hr

... 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 ...

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

... 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 ...

Corporate Services

Lead Data Scientist

Detroit, MI · On-site

Master's degree or PhD degree is preferred. * Five plus (5+) years of professional work experience ... Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for ...

Aptiv

Sr. Algorithm Engineer

Troy, MI

$99K - $136K/yr

PhD in Engineering or relevant field * 5+ years' experience in Automated Driving algorithm design ... Experience with Python and ROS * Knowledge of vehicle dynamics, numerical methods and statistic ...

Aptiv PLC

Sr. Algorithm Engineer

Troy, MI · On-site

$99K - $136K/yr

PhD in Engineering or relevant field * 5+ years' experience in Automated Driving algorithm design ... Experience with Python and ROS * Knowledge of vehicle dynamics, numerical methods and statistic ...

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Phd Python information

See Clinton Township, MI salary details

$22.7K

$138.3K

$200.1K

How much do phd python jobs pay per year?

As of Aug 12, 2026, the average yearly pay for phd python in Clinton Township, MI is $138,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $162,500.00 per year, depending on experience, location, and employer.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often within computer science or data science disciplines. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related fields and use Python as a primary tool for research, coding, and data analysis. Advanced programming skills and knowledge of algorithms, machine learning, or software development are usually required for such research-focused doctorates.

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.

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

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Sterling Heights, MI • Remote

$80 - $110/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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