Vitalief Inc.
Clinical Trial Solutions
Research Data Scientist – Biomedical Informatics
Location
United States
Posted
32 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformHadoopPandasPythonPy TorchScikit LearnSparkSQLTableauTensorflow
Job Description
• Collaborate with clinicians, researchers, and cross-functional teams to design and implement data science solutions that advance clinical research goals.
• Conduct real-world evidence studies leveraging EHR data and unstructured clinical text mining.
• Analyze large and complex clinical datasets using advanced statistical methods.
• Develop predictive models and apply machine learning (ML) techniques to identify patterns, biomarkers, or risk factors in patient data.
• Create visualizations and dashboards that effectively communicate complex findings to both technical and non-technical stakeholders.
• Conduct data cleaning, preprocessing, and transformation to prepare datasets for analysis.
• Apply Natural Language Processing (NLP) to extract insights from unstructured data such as clinical notes and patient narratives.
• Work with large-scale healthcare data environments using big data frameworks and cloud computing platforms.
• Ensure data integrity, security, and compliance with HIPAA and other relevant regulations.
• Stay current with emerging technologies and methodologies in the data science and healthcare domains.
Job Requirements
- Bachelor’s degree in Data Science, Computer Science, Biostatistics, Bioinformatics, or a related field.
- 5 or more years of proven experience working with clinical or biomedical data in a research or healthcare setting.
- Experience conducting real-world evidence studies leveraging EHR data and unstructured clinical text mining.
- Proficiency in statistical analysis and mathematics.
- Advanced programming skills in Python, R, or SQL; experience with software engineering best practices is a plus.
- Expertise in data manipulation and visualization tools (e.g., Pandas, Matplotlib, Seaborn, Tableau, Power BI).
- Hands-on experience with machine learning, AI, and deep learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Knowledge of NLP techniques and libraries (e.g., spaCy, NLTK, transformers).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Excellent communication skills to present findings clearly to non-technical stakeholders.
Benefits
- 100% remote (must currently live in the USA)
- Contract Duration: 6 months.
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