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Internship Remote Python Django Developer Jobs in South Dakota

Staff Software Architect

Sioux Falls, SD · On-site +1

$120K - $180K/yr

Sioux Falls, SD/Remote Position Summary SONIFI Solutions is seeking a Staff Software Architect to ... Programming experience in one or more of the following required to be considered: * Python

Showing results 21-22

Internship Remote Python Django Developer information

What are the key skills and qualifications needed to thrive as an internship remote Python Django developer, and why are they important?

To thrive as an Internship Remote Python Django Developer, you need a solid understanding of Python programming, core web development concepts, and familiarity with the Django framework, often supported by coursework or relevant project experience. Experience with version control systems like Git, basic knowledge of REST APIs, and exposure to relational databases such as PostgreSQL or MySQL are commonly expected. Excellent problem-solving, time management, and clear written communication are crucial soft skills for remote collaboration and learning. These skills ensure you can effectively contribute to a distributed development team, adapt quickly, and deliver quality code in a remote environment.

What types of projects or tasks can I expect to work on as a remote Python Django developer intern?

As a remote Python Django Developer intern, you'll typically work on tasks such as building and maintaining backend features, writing and testing APIs, fixing bugs, and assisting with database integrations. Interns often collaborate with senior developers through code reviews, version control platforms like Git, and daily stand-up meetings. This role provides valuable exposure to real-world development workflows, agile methodologies, and teamwork in a remote environment, helping you build both technical and communication skills that are essential for career growth.

What is the difference between Internship Remote Python Django Developer vs Junior Python Developer?

AspectInternship Remote Python Django DeveloperJunior Python Developer
CredentialsTypically enrolled in or recently completed relevant educationUsually holds a degree or certification in computer science or related field
Work EnvironmentRemote, often part-time or temporaryRemote or on-site, full-time or part-time
Employer & Industry UsageInternship programs in tech companies, startups, or agenciesFull-time roles in various industries using Python
Comparison Search IntentEntry-level, learning-focused, internship opportunitiesEntry-level, professional development, job roles

The main difference is that an Internship Remote Python Django Developer is a temporary, learning-focused position often held by students or recent graduates, while a Junior Python Developer is a full-time, entry-level professional role for those starting their career in Python development.

What is an internship remote Python Django developer?

An Internship Remote Python Django Developer is a trainee position for individuals looking to gain practical experience in web development using Python and the Django framework, while working remotely. Interns in this role typically assist with building, testing, and maintaining web applications, collaborating with development teams, and learning best practices in coding and software development. This opportunity is ideal for students or recent graduates who want to enhance their programming skills and gain real-world exposure to remote work environments.
What cities in South Dakota are hiring for Internship Remote Python Django Developer jobs? Cities in South Dakota with the most Internship Remote Python Django Developer job openings:

Bioinformatics Software Engineer

micro1 AI

Sioux Falls, SD • Remote

$80 - $110/hr

Part-time

Posted 9 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.