"Research Data Analyst - Hematological Malignancies"

The Division of Hematology is a progressive and dynamic center for basic and translational science, clinical research, patient care, and teaching, where clinicians, scholars, investigators, and trainees work together to harness the power and resources of Stanford Medicine in the pursuit of excellence.

Duties include:

• Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
• Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine inquiries such as requests for statistics or surveys.

DESIRED QUALIFICATIONS:

• Highly preferred Master’s level degree in statistics, data science, biostatistics, computer science, or related field.
  0-2 years of relevant work experience in data science, data engineering, or analytics.
• Experience working with healthcare data, clinical databases, or electronic health records is highly preferred but not required.
• Demonstrated experience integrating data from multiple sources or building data pipelines through coursework, internships, or professional work.
• In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
• Proficiency in Python programming for data manipulation, extraction, and ETL processes. Experience with libraries such as pandas, sqlalchemy, numpy, and PDF parsing tools (PyPDF2, pdfplumber, or similar).
• Intermediate to advanced SQL skills, including experience with complex queries, joins across multiple tables, and database design principles. Experience with healthcare or clinical databases strongly preferred.
• Basic to intermediate knowledge of statistical analysis methods and their application.
• Experience with REDCap or similar electronic data capture systems for research data management.
• Experience integrating and merging datasets from multiple disparate sources with different schemas and data quality levels.
• Understanding of relational database design, data modeling, and database schema development.
• Strong data quality assurance skills including ability to identify data discrepancies, validate data accuracy, and implement quality control processes.
• Ability to extract and structure information from unstructured text and documents using programming approaches.
• Experience with R programming for statistical analysis and visualization.
• Familiarity with natural language processing or text mining techniques for clinical text.
• Knowledge of HIPAA regulations and experience handling protected health information (PHI).
• Experience with version control systems (Git) and collaborative coding practices.
• Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.
• Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.
• Ability to work with data of varying levels of quality and validity.
• Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.
• Ability to work effectively with multiple internal and external collaborators.
• Ability to take a leadership role on projects and with collaborators.

EDUCATION & EXPERIENCE (REQUIRED):

• Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Substantial experience with MS Office and analytical programs.
• Excellent writing and analytical skills.
• Ability to prioritize workload.

PHYSICAL REQUIREMENTS:

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.

WORKING CONDITIONS:

• Some work may be performed in a laboratory or field setting.

WORKING STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/.

The expected pay range for this position is $108,002 to $128,138 per annum.