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 a Data Scientist to work alongside PKDM scientists, providing automation and standardization frameworks to streamline data access and cloud computing. The ideal candidate will collaborate closely with scientists to build tools that empower them daily, fostering learning and technical growth across the team.
Primary Responsibilities
- Design, implement, and configure a multi-user, version-controlled environment hosted on a central server—whether in the cloud or on-premises.
- Install and configure R, IRKernel, JupyterLab, and other relevant packages.
- Ensure the environment integrates seamlessly with a data warehouse, enabling users to access data via SQL queries.
- Create and maintain a standardized R environment across all users, ensuring reproducibility of results.
- Provide an automated framework for quantitative pharmacology modeling scientists to develop and share their modeling applications (e.g., R Shiny) as web-accessible tools throughout the organization.
Additional Responsibilities
- Set up shared directories and collaboration tools within shared environments such as JupyterHub.
- Provide comprehensive documentation and training materials for users.
Qualifications
- 2+ years of experience with containerization and orchestration tools (Docker, Kubernetes).
- Working proficiency in R, with a strong ability to integrate and manage packages.
- Demonstrated experience accessing data warehouses using SQL.
- Familiarity with cloud services such as AWS, GCP, or Azure, as well as experience in on-premises server management.
- Proven experience deploying R Shiny applications.
- Basic understanding of the pharmaceutical industry and pharmacokinetics.
- Excellent communication and interpersonal skills, with a collaborative mindset and an eagerness to learn and share knowledge in a fast-paced environment.
Education & Certification
- A Bachelor’s degree with 3 years of experience or a Master’s degree with 1 year of experience in Computer Science, Engineering, or a related field.
Working Conditions
The working conditions described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential responsibilities and functions of the job.
Unless reasonable accommodations can be made, while performing this job the staff member shall:
- Sit or stand at a desk in an environmentally controlled office environment for prolonged periods of time.
- Constantly operate a computer and other office productivity machinery, such as a calculator, scanner, or printer.
- Frequently communicate with stakeholders via telephone, email, or instant message. Must be able to exchange accurate information in these situations.
Equal Opportunity Statement
USDM Life Sciences is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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.
Compensation
W2 candidates only.
Salary/Hourly Rate Range (W2): USD 40.00 - 58.00
The base salary/hourly rate range represents the anticipated low and high end of the USDM’s compensation range for this position. Actual salaries/hourly rates will vary and will be based on various factors, such as the candidate’s qualifications, skills, competencies, and proficiency for the role. The compensation described above is subject to change and could be higher or lower than the range described based on market survey data or budget.
Full-time employees are eligible for health, vision, and dental insurance, life insurance, short and long-term disability, hospital indemnity, accident, and critical care coverage.
Both full and part-time employees, who are at least 21 years of age, are eligible to participate in USDM's 401k plan. Full and part-time employees may be eligible for paid time off.
All employees are eligible for USDM's rewards and recognition program.
For more details about our benefits, visit us here: https://usdm.com/careers