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Analytical Sciences Associate

Job in Santa Fe, Santa Fe County, New Mexico, 87503, USA
Listing for: Sumitomo Pharma
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner.

For more information on SMPA, visit our website  or follow us on Linked In.

We are currently seeking a dynamic, highly motivated, and innovative individual for the position of Associate, Analytical Sciences. This incumbent will play a critical role in supporting analytical operations and driving data-informed decision-making across Technical and Quality Operations. This position is responsible for maintaining product static data within Laboratory Information Management Systems (LIMS) and collaborating with IT and Quality to enhance system functionality.

This role involves applying advanced statistical techniques to developing real-time monitoring dashboards and support continuous improvement initiatives. The incumbent will contribute to investigations, process change assessments, and regulatory documentation through data mining, statistical analysis, and visualization. They will champion innovation by leveraging emerging technologies and methodologies from the data science community.

Success in this role requires a strong foundation in statistical analysis, data visualization, and data management, along with proficiency in analytical tools and familiarity with data architecture principles. The ideal candidate will be highly organized, a strategic thinker, and capable of balancing detailed execution with big-picture vision. Strong communication skills, attention to detail, and the ability to collaborate across cross-functional teams are essential.

Job Duties and Responsibilities
  • Maintain product static data within Laboratory Information Management Systems (LIMS) and collaborate with IT to enhance system functionalities.
  • Advance the application of statistical techniques, such as multivariate analysis and statistical process control, to support continuous improvement initiatives.
  • Build real-time monitoring tools for batch release and stability data using platforms such as JMP, R, Python, and MATLAB. Build predictive models and conduct large-scale data analyses to enable proactive, data-driven decision-making across operations.
  • Champion innovation by leveraging best-in-class data and technology from the data science community to identify emerging opportunities and capabilities that can be implemented within the organization with an eye towards operational excellence and efficiency.
  • Support analytical release and stability testing of drug substance and drug product material at contract testing laboratories. Assist in authoring, reviewing, and maintaining internal and external quality documents to ensure compliance with regulatory standards.
  • Provide support for regulatory filings by preparing, reviewing, or contributing analytical data summaries, reports, and supporting documentation for submissions.
Key Core Competencies
  • Strong foundation in statistical analysis, data visualization, and data management to support analytical and operational decision-making.
  • Familiarity with tools such as JMP, MATLAB, Minitab, R, or Python for developing predictive models, conducting multivariate analysis, and implementing statistical process control.
  • Familiarity with data architecture principles.
  • Strong communication skills for translating complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders.
  • Ability to collaborate across cross‑functional teams, manage multiple priorities, and maintain a high level of attention to detail.
  • Skilled at identifying potential opportunities and applying detail‑oriented solutions to achieve impactful outcomes.
  • Organized and strategic, with the ability to balance detailed execution and big‑picture thinking.
Education and Experience
  • Bachelor’s or advanced degree in Data Science, Statistics, or…
Position Requirements
10+ Years work experience
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