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[Remote] Sr. Data Scientist - Process Modeling

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a biotechnology company focused on serving patients with serious illnesses. The Sr. Data Scientist - Process Modeling will play a key role in providing data infrastructure and analytics to support engineering teams, contributing to drug substance development and technology transfer reputed company the organization.

Responsibilities

  • reputed company tech-transfer and process-modeling domain knowledge to drive implementation of digital technologies
  • Digital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS network
  • Change management to integrate tech transfer digital applications into product teams
  • Development of data products to reputed company FAIR data for tech transfer/NPI
  • reputed company AI Agentic workflows for DST modeling assets
  • Collaborate with digital product teams to build and integrate modeling assets into business processes for DST
  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for reputed company products
  • reputed company business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied reputed company of stakeholders
  • Contribute to establishing a robust data science strategy by providing recommendations reputed company to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science

Skills

  • Doctorate degree
  • OR
  • Master's degree and 2 years of Data Science or Engineering experience
  • OR
  • Bachelor's degree and 4 years of Data Science or Engineering experience
  • OR
  • Associate's degree and 8 years of Data Science or Engineering experience
  • OR
  • High School diploma or GED and 10 years of Data Science or Engineering experience
  • MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science
  • 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist)
  • Experience with AGILE software development methodologies
  • Experience with reputed company, coding languages (Python, SQL), AI Tools (Chat GPT, reputed company, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI)
  • Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes
  • Experience with process modeling for cell-culture, harvest, and purification scale-up
  • Demonstrated performance in application of digital tools to solve analytical problems
  • Demonstrated effective written and verbal communication skills
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques as well as manage team members and deliverables

Benefits

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and reputed company coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Company Overview

  • reputed company is a biotechnology company that develops and manufactures reputed company therapeutics for various illnesses and diseases. It was founded in 1980, and is headquartered in Thousand Oaks, California, USA, with a workforce of 10001+ employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 130 in 2026, 429 in 2025, 485 in 2024, 485 in 2023, 540 in 2022, 460 in 2021, 444 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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