Job Description

The programmer analyst role includes the interpretation of complex requirements from detailed specifications to identify the correct fields for data extraction, applying analytical techniques for validation and cleaning, and preparation of data for in-depth analysis. This involves selecting appropriate patient cohorts, applying sophisticated programming strategies to configure data to researchers' specification, and confirming value meet researchers' expectations. The focus is on effectively managing and interpreting large volumes of data to derive meaningful insights. The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as python, SQL, SAS, R, or Stata to work with electronic medical records and claims data. The ultimate aim is to provide a robust analytical foundation that supports research projects.

Key responsibilities include the meticulous organization and curation of data sets; executing sophisticated statistical analyses; and producing detailed reports, charts, tables, and figures that clearly convey the findings. The role might involve working closely with PhD Statisticians to apply complex statistical analysis to support the interpretation of results.

The programmer analyst will work closely with the lead investigators to refine data analysis based on feedback and ensure that the results are presented in a form that is ready for publication and dissemination.

Responsibilities

of time

Essential Function (Yes/No)

Key Responsibilities

(To be completed by Supervisor)

20%
Yes
Independently analyzes complex information requirements and documents them using formal data definition techniques and naming standards. Plans long-term statistical studies, including the preparation of proposals and design of datasets to be used for studies.

25%
YesDevelops logical data models, dimensional data models, and schemas for the scope of a project or a component of a project. Develops data mapping specifications and extract-transform-load (ETL) designs.
20%
Yes
Gathers, analyzes, prepares and summarizes the collection of information and data, recommends statistical approaches, trends, sources and uses.

25%
Yes
Identifies multivariate strategies, prepares reports of studies for internal validation and cross validation studies, analyzes the interrelationships of data and defines logical aspects of data sets, and develops systems for organizing data to analyze, identify/report trends.

10%
Yes
Manages database of research data for projects and participates in development/implementation of data security policies and procedures.

100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

Qualifications

REQUIRED QUALIFICATIONS

• Bachelor's degree in biological science, computational / programming, or related area and/or equivalent experience/training.
• Three + years of experience with data manipulation and data quality control
• Three + years of experience in statistical analysis and modeling
• Proficiency and programming experience in SAS, Python, R, or SQL
• Experience working with large (>50Gb) datasets
• Experience working with electronic medical/health services data (e.g, SEER/EPIC/claims data)
• Experience in a research environment
• Thorough knowledge of bioinformatics methods, applications programming, web development, and data structures.
• Thorough knowledge of bioinformatics programming design, modification, and implementation.
• Understanding of relational databases, web interfaces, and operating systems.
• Thorough knowledge of web, application, and data security concepts and methods.
• Research skills at a level to evaluate alternative solutions and develop recommendations
• Strong project management skills.
• Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization.
• Ability to communicate technical information in a clear and concise manner.
• Ability to interface with management on a regular basis.
• Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines, and demonstrate problem-solving skills.

PREFERRED QUALIFICATIONS

• Thorough knowledge of modern biology and the applicable field of research.
• Advanced degree in quantitative discipline and/or equivalent experience/training