Research Data Scientist – Biomedical Informatics
Vitalief Inc.
part-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- 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.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencestatistical analysismachine learningnatural language processingdata manipulationdata visualizationpredictive modelingdata cleaningbig data frameworkscloud computing
Soft Skills
problem-solvingcollaborationcommunicationindependenceteamwork