Vitalief Inc.

Clinical Trial Solutions

Research Data Scientist – Biomedical Informatics

Data ScientistData ScientistPart TimeRemoteTeam 51-200H1B No SponsorCompany SiteLinkedIn

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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