Senior Data Analyst

We are seeking a dynamic Senior Data Analyst to join our team and play a crucial role in advancing our clinical research efforts within the Women's Health business unit. This business unit consists of a suite of advanced molecular diagnostics products such as Panorama and Horizon that are widely used by clinicians to improve outcomes for women along their reproductive journeys. This position offers an exciting opportunity to blend data expertise with healthcare knowledge to drive positive changes in patient care and medical research.

As a Senior Data Analyst, you will play a critical role in the healthcare field by collecting, analyzing, and de-identifying clinical data to support evidence-based decision-making and improve patient outcomes. You will work closely with healthcare professionals, researchers, and data management teams to ensure the accuracy, integrity, and accessibility of clinical data. Your insights and reports will contribute to advancements in medical research, treatment strategies, and healthcare quality improvement.

PRIMARY RESPONSIBILITIES:

Data Collection, Validation, and Delivery:

• Gather and verify clinical and assay execution data from various structured and unstructured sources, such as LIMS systems, csv files, external SAS datasets, JSON and PDF files etc.
  
• Ensure data accuracy, consistency, and compliance with relevant standards and regulations (e.g., HIPAA). Implement quality control procedures to ensure the accuracy, reliability, and secure delivery of clinical data.
  
• Collaborate with researchers and bioinformaticians to define requirements for sample and data selection for research and study designs.
  
• Support ETL development, automation and process improvement to enhance timeliness of data delivery to stakeholders across business units.
  

Data Management:

• Maintain data repositories, databases, and data views for efficient data storage and retrieval.
  
• Monitor data quality and implement data cleaning procedures as needed.
  

Reporting and Visualization:

• Create clear and concise reports, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders.
  
• Provide data-driven insights for improving clinical processes, patient care, and research protocols and to support decision-making.
  

Collaborative Teamwork:

• Collaborate with multiple teams, including researchers, medical directors, bioinformaticians, biostatisticians & data scientists and IT professionals, to address data-related challenges and deliver clean and accurate data.
  
• Act as a liaison between data management and healthcare teams to bridge communication gaps.
  

QUALIFICATIONS:

• Bachelor's degree in a related field (e.g., Statistics, Data Science, Computer Science, Healthcare Informatics etc) and minimum of 4 years of experience in clinical data analysis or a related role preferably in a healthcare or pharmaceutical setting.
  
• Master’s degree in related field and 2 years of relevant experience also acceptable

• Functional understanding of next-gen sequencing workflows and human genetics knowledge is a plus

• Experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.
  
• Basic knowledge of clinical research methodologies and regulatory requirements, such as HIPAA and FDA guidelines.
  

KNOWLEDGE, SKILLS, AND ABILITIES:

• Strong SQL skills for querying and retrieving data from complex data sources in a structured format.
  
• Proficient in aggregating data, preparing, cleaning data and data mining using SQL and Python.
  
• Experience building ETL pipelines, preferably using AWS tools
  
• Experience with one or more softwares for data visualization (Tableau, Quicksight, etc)
• Good problem-solving and critical-thinking abilities, effective communication and presentation skills, and ability to work collaboratively in a cross-functional team environment.