Data Scientist (Boston, Ma - Hybrid)

Clinical Research Data Scientist - (Boston, Rochester or Remote)

We are seeking a highly skilled and motivated Data Scientist to join our Clinical Research team. Reporting to our Chief Medical Officer, The ideal candidate will possess a strong analytical mindset, expertise in statistical analysis, and a passion for data-driven decision-making. You will play a crucial role in analyzing research data sets and providing actionable insights to support our business objectives.

Key Responsibilities:

• Collect, process, and analyze datasets from various sources to uncover trends, patterns, and insights.
• Analyze and interpret clinical data sets, including electronic health records (EHR) and clinical trial data.
• Collaborate with clinical researchers, biostatisticians, and other stakeholders to support design and execution of data-driven studies.
• Perform data cleaning, preprocessing, and integration from various sources to ensure data quality and consistency.
• Generate insights and actionable recommendations from data analysis to inform research strategies.
• Create visualizations and reports to effectively communicate findings to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and clinical research methodologies.
• Contribute to the development and maintenance of data infrastructure and tools to support ongoing research activities.

Qualifications:

• Master's or Ph.D. in Data Science, Biostatistics, Computer Science, Bioinformatics, or a related field. OR currently working towards a masters or Ph.D in a relevant field.
• Proven experience as a Data Scientist, preferably in a clinical research or healthcare setting.
• Proficiency in statistical analysis and data visualization tools (e.g., SAS, SPSS, Tableau).
• Familiarity with clinical research methodologies and regulatory requirements (e.g., GCP, HIPAA).
• Excellent problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services.
• Knowledge of natural language processing (NLP) and deep learning techniques.
• Knowledge of genomic data analysis and bioinformatics.

About Casana

Casana is innovating healthcare delivery with a smart toilet seat that enables effortless, integrated, and consistent in-home health monitoring.The Heart Seat® captures key clinical values, including FDA cleared heart rate, blood oxygenation, and future clinical measurements in development such as blood pressure.

The healthcare system has been searching for this actionable intelligence for …