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Remote Data Science Junior Jobs in Michigan (NOW HIRING)

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

Data Architect

Detroit, MI · On-site +1

$63 - $81.25/hr

... sciences, consumer products, and retail industries. Together, we can find the answers to our ... Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Data Science Junior information

What is a remote data science junior?

Remote Data Science Junior jobs are entry-level positions in data science that can be performed from any location, often requiring foundational skills in statistics, programming (such as Python or R), and data analysis. Junior data scientists work on tasks like cleaning data, running basic analyses, and supporting more senior data scientists on projects. These roles are ideal for recent graduates or those new to the field who want to gain practical experience while working remotely. Remote positions typically require strong communication skills and the ability to collaborate effectively in a virtual environment.

How do remote data science juniors typically collaborate with their team and receive mentorship while working remotely?

As a Remote Data Science Junior, collaboration and mentorship are often facilitated through regular video meetings, code reviews, and chat platforms like Slack or Microsoft Teams. You’ll likely participate in daily stand-ups, project planning sessions, and pair programming to stay connected with your team. Many organizations also assign mentors or buddy systems to support junior professionals, offering guidance on technical questions and professional development. Proactive communication and willingness to ask questions are key to thriving in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data science junior, and why are they important?

To thrive as a Remote Data Science Junior, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, often supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL databases, and data visualization platforms such as Tableau is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and independent work. These skills are crucial for efficiently analyzing data, deriving actionable insights, and contributing to team goals from a remote setting.

What are the most commonly searched types of Remote Data Science jobs in Michigan?

The most popular types of Remote Data Science jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Science Junior jobs?

Cities in Michigan with the most Remote Data Science Junior job openings:

AI Training Specialist - Life Sciences

micro1 AI

Ann Arbor, MI • Remote

$90 - $120/hr

Part-time

Posted 24 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.