Clinical Research Data Scientist

Summary

Join Vitalief, a leading clinical research FSP, as a part-time Clinical Research Data Scientist! This remote position (10 hours/week, outside normal business hours) is perfect for supplementing your income. You will leverage data to advance clinical research, improve patient outcomes, and inform healthcare policy. Collaborate with healthcare providers, scientists, and policymakers to integrate data-driven insights into research projects. This 6-month contract offers market-competitive hourly pay. The ideal candidate will possess strong data science skills and experience working with clinical or biomedical data.

Requirements

• Master’s degree in Data Science, Computer Science, Biostatistics, Bioinformatics, or a related field
• Proven experience working with clinical or biomedical data in a research or healthcare setting
• 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

Responsibilities

• Collaborate with clinicians, researchers, and cross-functional teams to design and implement data science solutions that advance clinical research goals
• 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

Preferred Qualifications

• Experience working in a clinical trials or regulatory environment
• Understanding of healthcare standards (e.g., HL7, FHIR, ICD codes)
• Prior exposure to real-world evidence (RWE) and real-world data (RWD) projects