Senior Data Scientist

Main Responsibilities

• Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.
• Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.
• Design and oversee studies to generate high-quality data for robust statistical analysis.
• Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.
• Interpret results and clearly communicate findings, influencing strategic and operational decisions.
• Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.
• Design and deliver training in statistics and data science to upskill the organization.
• Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.
• Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.

Who you are

• Educational Qualification: Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.
• Expertise and Experience: Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics. Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.
• Regulatory and Collaborative Skills: Strong familiarity with regulatory guidelines (FDA, EMA), excellent collaborative skills for working in multidisciplinary teams, and outstanding communication skills for reporting and stakeholder liaison.
• Problem-Solving and Project Management: Strong analytical and problem-solving skills, ability to manage multiple projects, and high attention to detail to ensure accuracy and reliability.
• Continuous Improvement and Learning: Self-motivated, able to work independently and coaching junior colleagues in teams, keen on staying updated with new developments in statistics and data science, and passionate about continuous improvement and learning.

Pay

The expected salary range for this position based on the primary location of South San Francisco, CA, is $156,200 to $290,200. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.

Benefits

Benefits details can be found at the link provided below.