IS Analyst

at  USDM Life Sciences

ABOUT USDM

USDM Life Sciences is a premier consulting company with 20+ years of experience assisting heavily regulated biotech, medical device, and pharmaceutical companies with their GxP technologies to accelerate growth. Our deep domain knowledge and technology expertise in life sciences business processes are what set us apart. From strategy to implementation and adoption, we have delivered thousands of GxP projects globally.
As part of the USDM team, you will have the opportunity to work with cutting-edge technologies through our many partnerships with companies like Microsoft, Google, Oracle, DocuSign, Box, and many more. From molecule to market, you will help connect technology, people, and data in new ways to generate real-time insights to improve business outcomes for USDM’s clients. Are you ready to make an impact and drive real digital transformation in life sciences?
Founded in Santa Barbara in 1999, USDM has grown into a progressive, global company with 300+ remote employees and offices throughout the US, Canada, and Germany.

NATURE AND SCOPE OF JOB

USDM Life Sciences is seeking an IS Analyst to support our client by providing scientific and technical engineering expertise, focusing on data integration, system maintenance, and statistical analysis to advance the client’s pipeline and commercial portfolio.

QUALIFICATIONS

• Experience with programming languages (Python, R, SQL) and programming concepts (data types, data structures, objects, etc.)
• Familiarity with statistics concepts (distributions, regression techniques, classification)
• Experience with business intelligence and analysis tools (Spotfire, R-Shiny, JMP) to aggregate, analyze, and visualize data.
• Ability to generate easy-to-use dashboards for rapid and dynamic data visualization.
• Strong written and verbal communication skills.
• Ability to work under minimal direction and adapt to changing business needs.
• Ability to multi-task and function in a dynamic environment.
• Ability to solve complex, non-routine analysis problems using advanced statistical analysis.

EDUCATION & CERTIFICATION

• A Master’s degree, or a Bachelor’s degree with 2 years of scientific or engineering experience, an Associate’s degree with 6 years of scientific or engineering experience, or a high school diploma/GED with 8 years of scientific or engineering experience.

DISCLAIMER

This job description is intended to describe the general nature and the level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. USDM Life Sciences reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.

PRIMARY RESPONSIBILITIES

• Interface with data engineers, system architects, and system owners to understand data systems and enable the extraction, transformation, and loading of key data into new systems.
• Maintain existing systems and data pipelines.
• Apply statistical trending tools, such as statistical process control and multivariate analysis, to product and method data to understand sources of variation and evaluate opportunities for improvements.
• Support ongoing GMP activities, including the generation of annual product review documents, regulatory inspections, and process documentation.
• Work with analytical scientists, process development scientists, and engineers to assess, understand, and support data consumption needs.

ADDITIONAL RESPONSIBILITIES

• Identify and develop optimization opportunities in existing tools, processes, and procedures.
• Generate easy-to-use dashboards for data visualization.
• Deliver high-quality results in a timely manner.
• Adapt to changing business needs and multi-task in a dynamic environment.
• Solve complex, non-routine analysis problems using advanced statistical analysis.
• Perform additional duties as assigned.