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Strong employer brand, mid-level generalist ML role, and metro location increase applicant competition.
Role requires biopharma process development and lab-data experience, making cross-industry fit highly constrained.
Explicit 4+ years plus required ML, Python, regulated lab experience and domain knowledge raises filter strictness.
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Develop and deploy AI-enabled workflow components to support Process Development, including data preparation, model implementation, testing, and documentation.
Collaborate with senior data scientists, AI engineers, product owners, and cross-functional teams across global time zones to translate requirements into practical AI solutions.
Maintain code quality through software engineering best practices and participate in agile product delivery activities to enhance AI capabilities.
Bachelor's or Master's degree in engineering, computer science, data science, applied mathematics, statistics, life sciences, or related technical field.
Minimum 4 years of relevant experience in data science or related roles involving AI and machine learning.
Hands-on programming proficiency in Python for data analysis, modeling, automation, or application development.
Experience with machine learning, generative AI, retrieval-augmented generation, workflow automation, or decision-support systems; familiarity with software engineering practices and scientific data in regulated technical environments.
Experienced hands-on data scientist comfortable working within cross-functional teams delivering AI capabilities in scientific or process development contexts.
Capable of independently implementing scoped machine learning and AI components and actively engaging with senior technical and product stakeholders for feedback.
Aspirant for growing technical ownership in Process Development by deepening expertise in AI applications within biopharmaceutical or similar regulated environments.