Data Scientist

Kinetica
London
1 month ago
Applications closed

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Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

Data Scientist – Remote, UK


About the Company


Our client is a fast-growing organization that is revolutionizing the healthcare industry by leveraging high-quality, deidentified health data to drive improved patient outcomes. They specialize in transforming real-world evidence (RWE) through advanced analytics, uncovering patterns, evaluating treatment effectiveness, and supporting innovative research in healthcare.


They are currently seeking a passionate and skilledData Scientistto join their dynamic team. This is a fantastic opportunity for someone who thrives in a collaborative environment, enjoys solving complex problems, and is motivated by the opportunity to make a real impact in the healthcare sector.


Key Responsibilities


As aData Scientist, you will play a pivotal role in analyzing and interpreting health data to generate meaningful insights that drive decision-making for healthcare providers, researchers, and stakeholders. Your core responsibilities will include:


  • Analyzing and interpreting deidentified health data (e.g., CRF, survey data) collected through the company's data systems to identify trends and actionable insights.
  • Designing and executing Real-World Evidence (RWE) studies, including cohort studies and treatment effectiveness analyses, using R in RStudio.
  • Developing statistical summaries, visualizations, and reports to present complex healthcare data in an easily understandable format for both technical and non-technical stakeholders.
  • Ensuring compliance with relevant health data regulations to protect patient privacy and maintain data integrity.
  • Collaborating with the internal Evidence team, sharing insights, and refining analytical approaches to enhance study outcomes.
  • Contributing to the optimization of data analysis processes by recommending best practices and methodologies to improve efficiency and accuracy.


Experience & Qualifications


The ideal candidate will be a detail-oriented individual with a strong analytical mindset and a deep passion for healthcare data. We are looking for someone with:


  • 2+ years of experience analyzing healthcare data, preferably US-based (e.g., claims data, EHRs, clinical trial data).
  • A degree (or higher) in Data Science, Biostatistics, Epidemiology, or a related field.
  • Proficiency inRfor statistical analysis (experience withRStudiois a plus).
  • Familiarity with data collection systems and a solid understanding of healthcare data structures.
  • Strong communication skills with the ability to translate complex findings into clear and actionable insights for various audiences.


Desired Skills and Qualifications


If you possess any of the following, it would be highly beneficial:


  • Knowledge of health data regulations and data anonymization techniques (e.g., HIPAA).
  • Experience working withSQLor other statistical tools such asPythonorSAS.
  • A background in delivering RWE reports or contributing to published research.


Why Join This Company?


This is an exciting opportunity to work with a forward-thinking, innovative company that is making a tangible difference in healthcare. As part of the team, you’ll contribute to meaningful projects that impact patient care and healthcare outcomes.


In addition to the opportunity to work with cutting-edge data analytics, you will be joining a collaborative and dynamic team of experts. The company offers a flexible, remote work environment and great opportunities for professional growth and development in the field of Real-World Evidence analytics.


If you're passionate about making a difference in healthcare and have the skills to contribute to this mission, we encourage you to apply!

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