Supervisor, Clinical Data Software Management

POSITION SUMMARY:

The Supervisor, Clinical Data Software Management, will oversee and support all clinical
data management and data software engineering operations. This position also supports
overseeing the implementation and design of data schemas, data modeling, data ingestion
pipelines, and workflows by all product and data mart specifications to ensure high-quality
data deliverables. The Supervisor, Clinical Data Software Management, will provide
immediate supervision to all staff within the Clinical Data Software Management function of
the Clinical Data Operations team.

PRIMARY RESPONSIBILITIES:

● Function as the front-line supervisor to all clinical data management and data software
engineering/analyst staff. Oversee and take accountability for all daily operations.
● Serve as a subject matter expert by participating in cross-functional meetings to ensure
appropriate consideration of technical requirements to develop reliable and extensible
operations-friendly applications, services, solutions, data pipelines, or reports.
● Translate technical plans into operational processes at the staff level and effectively guide
team execution to reduce delays in meeting project budgets, goals, and timelines.
● Oversee and manage the design alternatives, architectural proposals, code reviews,
software, applications, services, solutions, data pipelines, and reports verification, and
provide timeline recommendations to the Director.
● Write software specifications based on product requirements and design and implement
software components.
● Analyze and fix defects identified within applications, services, solutions, data pipelines,
or reports.
● Create unit tests and coordinate testing within the Clinical Data Software Management
team, and all relevant cross-functional teams.
● Write SQL, Python, and ETL code to query raw and structured clinical and genomic data
for various clinical data management activities.
● Leverage AWS services and tools to design, deploy, and manage scalable data pipelines,
storage solutions, and processing workflows in a cloud-native environment.
● Create data marts, including performing data transformation and de-identifying,
maintaining, and automating/optimizing Airflow.
● Perform code reviews, provide relevant and timely recommendations and suggestions for
solutions to the leadership team, and, when appropriate, independently implement
solutions.
● Continuously identify and lead the implementation of department/organization policies,
procedures, and best practices.
● Conduct performance 1:1s, performance evaluations, and five feedback focusing on
growth.
● Provide supervisor support in hiring and onboarding new hires.
● Build and oversee the development of automated solutions department KPIs and track
Data Management & Software Engineering team KPIs.

● Build and maintain ongoing working relationships with stakeholders, focusing on
building effective communication channels.
● Other duties as assigned.

QUALIFICATIONS:

● BS degree in computer science, comparable program, or equivalent experience
● 8+ years of overall software development experience, preferably building complex
data or process management applications
● Experience working with SQL databases (Postgres, Snowflake, Redshift, Athena),
SQL, and ETL
● Must have experience with applications such as Excel/Macros, Quicksight and
Tableau or similar applications
● Must have experience working with AWS services like Redshift and S3
● Experience in manipulating, processing, and extracting value from large datasets
● Knowledge of data management fundamentals and data storage principles
● Experience building/operating highly available, distributed systems of data
extraction, ingestion, and processing of large data sets
● Proven success in communicating with users, other technical teams, and senior
management to collect requirements, describe data modeling decisions and data
engineering strategy
● Experience providing technical leadership and mentoring other engineers for best
practices on software engineering
● Knowledge of software engineering best practices across the development lifecycle,
including agile methodologies, coding standards, code reviews, source
management, build processes, testing, and operations

KNOWLEDGE, SKILLS, AND ABILITIES:

● Ability to work independently, with little to no direction, and as part of a team
● Strong organizational and communication skills
● In-depth attention to detail and a fast learner
● Experience working with startup companies and respond to shifting
priorities and changes, along with experience working in regulated