Want to get hired at Micro1?
AI Data Scientist
Micro1
HybridHybrid
Original Job Summary
About micro1
Our mission at micro1 is to match the most talented people in the world with their dream jobs. Join a community where your resume gains visibility with top industry leaders.
Job Summary
Join our customer's team as an AI Data Scientist, harnessing expertise in AI, ML, and Generative AI to drive advancements in digital healthcare and clinical trial optimization. Transform clinical research with innovative technology solutions that impact patient outcomes.
Key Responsibilities
- Design and implement AI/ML and GenAI solutions for clinical trials.
- Develop advanced GenAI applications for automating clinical documentation.
- Collaborate with stakeholders to build digital healthcare tools.
- Engineer predictive and generative AI models using diverse healthcare datasets.
- Apply NLP and LLMs for medical text analysis.
- Ensure regulatory and data privacy compliance for AI/ML solutions.
- Leverage AWS for scalable model deployment and MLOps practices.
Required Skills and Qualifications
- Associate degree in Data Science, Computer Science, Biostatistics, or related field.
- 3–5 years of professional experience with at least 1 year in healthcare AI/ML.
- Strong programming skills in Python, R, or similar.
- Expertise in modern ML frameworks such as PyTorch and TensorFlow.
- Proven experience with generative AI and LLM architectures.
- Experience in digital healthcare application development.
- Familiarity with cloud services and MLOps practices, especially AWS.
Preferred Qualifications
- Experience in healthcare or clinical research AI/ML applications.
- Expertise in healthcare data integration and regulatory compliance.
- Knowledge in digital healthcare tool design and patient engagement strategies.
Key Skills/Competency
AI, ML, GenAI, Digital Healthcare, Clinical Trials, Python, AWS, MLOps, NLP, Data Integration
How to Get Hired at Micro1
🎯 Tips for Getting Hired
- Research micro1 culture: Study their mission and recent success stories.
- Customize resume: Tailor experiences in AI and healthcare.
- Highlight skills: Emphasize ML frameworks and cloud expertise.
- Prepare examples: Showcase projects on digital healthcare innovations.
📝 Interview Preparation Advice
Technical Preparation
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Review ML algorithms and AI frameworks.
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Practice coding in Python and R.
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Study AWS cloud deployment techniques.
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Understand MLOps and version control practices.
Behavioral Questions
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Describe a challenge in AI project delivery.
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Explain teamwork under tight deadlines.
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Discuss experiences with regulatory constraints.
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Share how you approach innovative problem solving.