Top 10 Data Science Jobs You Can Do from Home as a Beginner

Digital Doctors

Mon, 23 Jun 2025

Why Data Science for Healthcare Professionals?

With the rise of digital health and remote work, many healthcare professionals are leveraging their clinical experience to transition into data science—a field that powers everything from electronic health records to AI diagnostics. Fortunately, many data science roles are beginner-friendly and fully remote.

This article explores 10 accessible data science roles you can do from home, with curated job boards, NGOs, startups, and companies that are actively hiring internationally. You'll also find a list of top tools, learning platforms, and job resources to launch your journey.

✅ Top 10 Beginner-Friendly Data Science Jobs You Can Do Remotely

Data Annotator for Medical AI

• What You’ll Do: Label datasets (e.g., X-rays, prescriptions, speech transcripts) for AI models.

• Tools Needed: Labelbox, Snorkel, Amazon SageMaker Ground Truth.

• Where to Apply:

  • Labelbox Jobs

  • CloudFactory

  • iMerit

Clinical Data Abstractor

• What You’ll Do: Extract structured info from unstructured medical records.

• Who’s Hiring:

  • AQuity Solutions

  • Change Healthcare

  • Ciox Health

Healthcare Data Entry Analyst

• What You’ll Do: Digitize and manage healthcare datasets (e.g., patient surveys, lab results).

• Great for: Nurses, medical records staff, admin assistants.

• Jobs:

  • Remotive.io (Data Entry)

  • Clickworker

  • Upwork (Search: "medical data entry")

Health Data Visualization Assistant

• What You’ll Do: Create infographics or dashboards using tools like Excel, Tableau, or Power BI.

• Tools to Learn: Tableau Public, Google Looker Studio

• Jobs:

  • Turing

  • We Work Remotely

  • Toptal

Medical Data Curator (Biotech/Research)

• What You’ll Do: Organize, clean, and prepare data for clinical trials or research.

• Employers:

  • DNAnexus

  • BenchSci

  • Amgen

Epidemiological Data Assistant

• What You’ll Do: Support public health and epidemiology teams with data organization and preliminary analysis.

• NGOs & Platforms:

  • ICAP at Columbia University

  • MSF (Doctors Without Borders)

  • PATH Careers

Survey Data Analyst (Public Health Projects)

• What You’ll Do: Clean, summarize, and analyze household survey data.

• Tools: KoboToolbox, Google Sheets, SPSS.

• Jobs:

  • Palladium

  • FHI 360

  • IRC Jobs

Telehealth Analytics Support

• What You’ll Do: Monitor patient usage, analyze chatbot data, report key metrics.

• Companies Hiring:

  • Babylon Health

  • MediTelecare

  • Ada Health

Open Health Data Contributor

• What You’ll Do: Annotate or classify public health data sets (often part-time or freelance).

• Projects & Freelance Platforms:

  • Zindi Africa

  • DrivenData

  • Omdena

AI Chatbot Trainer (Healthcare-Focused)

• What You’ll Do: Train chatbots in clinical question answering.

• Job Boards:

  • Remotive (AI roles)

  • Invisible Technologies

  • Anthropic (AI safety roles)

Tools & Platforms to Kickstart Your Journey

Learning Path: From Zero to Data Hero (In Healthcare)

1. Start with Basics: Learn data science foundations (Python, Excel, SQL).

   • Course: Johns Hopkins Data Science Specialization (Coursera)

2. Specialize in Health: Take healthcare-specific projects.

   • Course: AI in Healthcare (Stanford - Coursera)

3. Build Portfolio Projects: Use open datasets from Kaggle or WHO.

   • Tip: Document your work on GitHub or a blog.

4. Apply on Niche Job Boards: Focus on platforms hiring for health & AI/data roles.

Top Global Job Boards (With Remote Filters)

References

• Amgen. (2025). Careers. https://careers.amgen.com/

• Coursera. (2025). AI in Healthcare Specialization. https://www.coursera.org/

• Kaggle. (2025). Datasets and Competitions. https://www.kaggle.com/

• Labelbox. (2025). Careers. https://labelbox.com/careers/

• Omdena. (2025). Global AI Projects. https://omdena.com/

• Remotive. (2025). Remote Jobs Board. https://remotive.io/

• WHO. (2025). Health Data. https://www.who.int/data

Final Thoughts

You don’t need a computer science degree to begin working in data science—especially if you bring clinical insight and healthcare literacy to the table. Start with small freelance roles, enhance your skills through free tools, and grow your credibility by contributing to open-source or nonprofit AI projects.

Whether you're a nurse, pharmacist, physician, or allied health worker, data science is a powerful path to make impact—right from your home.