Job Description

Required Skills & Experience

6-8 years of experience building Data Science/Analytics models (using Python or R): This will constitute 80% of the role.

Data Warehousing knowledge: Ability to build Data Science/Analytics models by reading data from a data warehouse, modifying existing data warehouses for better analytics, or building new ones from scratch. Knowledge of Fact tables and Dimension tables is essential.

SQL Server experience: All data is stored on SQL Server.

SQL query writing experience using T-SQL: Proficiency in writing T-SQL queries.

Writing/troubleshooting SQL Server stored procedures experience: Involvement in writing stored procedures for data manipulation.

ETL development using SSIS or SQL Server Stored Procedures experience: Ability to write ETL processes using SQL Server Integration Services (SSIS) or SQL Server stored procedures.

Visualization tools: Must have experience with some visualization tools and be able to learn Power BI. The role may involve creating Power BI reports once a month.

Nice to Have Skills & Experience

Experience in FDA regulated drug or healthcare companies desired.

MS SQL Server Integration Services (SSIS) Experience: Candidates should be eager to learn SSIS. Proficiency in SQL Server stored procedures is essential for performing ETL development tasks.

Power BI: Experience with any visualization tool is required, and the ability to learn Power BI is highly desirable.

Job Description

A life sciences company in the San Gabriel Valley is seeking a Senior Data Scientist to help build out their data science function from the ground up. This is a pivotal role supporting clinical research efforts as the company integrates advanced analytics into their operations.

The ideal candidate will have experience creating data science platforms or environments, preferably in a life sciences or clinical research setting. Proficiency in R or Python for data modeling and statistical analysis is essential. This role will be 70–80% focused on development work, including designing and implementing data models, building data science infrastructure, and developing ETL processes using SSIS and SQL Server stored procedures. A strong understanding of Snowflake data warehouse architecture is also important, as the company is leveraging it as part of their modern data stack. They are looking for someone who’s excited to take ownership of data science initiatives and contribute to meaningful advancements in healthcare.

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Employees in this role will enjoy a comprehensive benefits package starting on day one of

employment, including options for medical, dental, and vision insurance. Eligibility to enroll in

the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this

role will have access to paid sick leave and other paid time off benefits as required under the

applicable law of the worksite location.

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