• You'll develop and deploy groundbreaking data solutions, collaborating with talented engineers and product experts to transform complex problems into elegant solutions. • Design and implement scalable data science-based solutions, data processing, and machine learning pipelines • Optimize models and develop new and scalable methodologies to improve data quality • Collaborate with other Engineering and Product teams to understand product requirements and create optimal/scalable solutions • Communicate technical concepts and findings to both technical/non-technical team members • Write scalable and clean code

• Convert existing Excel tools into reliable Python scripts or applications. • Translate formulas and macros from Excel into scalable code. • Collaborate with engineering and project teams to understand requirements and improve tool usability. • Identify and develop innovative solutions to improve workflows and address pain points. • Document scripts, workflows, and user guidelines for clarity and usability. • Design and implement automated tests for the developed scripts.

• Working in a global team of data scientist who are subject matter experts in Data Analytics applications within Biopharma. • Assisting customers in solving business related problems using advanced data analytics • Supporting implementation of advanced analytics in industry • Supporting Sartorius sales teams as a subject matter expert in pre and post sales activities • Act as subject matter expert point of contact and support customer and Sartorius internal projects • Analyzing data and building data driven models using Umetrics software suite • Coordinate work with colleagues in other regions for accounts with a global presence • Maintaining contact with customers to secure project momentum and discover additional opportunities • Creating technical documents, application notes and reports • Attending and presenting at conferences, seminars and forums • Developing & cultivating strong relationships with external and internal stakeholders

Role Description - Develop and review Statistical Analysis Plans (SAPs), including analysis dataset and TLG specifications. - Perform statistical analyses and prepare clinical study reports, including integrated summaries for regulatory submissions. - Participate in study design discussions, sample size calculations, and protocol development. - Review CRFs, data review guidelines, edit check specifications, and data validation plans. - Use SAS programming daily for QC of critical outputs, efficacy/safety tables, and collaboration with statistical programmers. - Ensure compliance with CDISC requirements (SDTM, ADaM) for regulatory submissions. - Collaborate with internal and external functions (CROs, software vendors, clinical development partners). - Review and/or author data transfer specifications and SOPs related to statistical programming practices. - Present and explain statistical methodology clearly to non-statistician stakeholders. Qualifications - Master's degree minimum in Statistics, Mathematics, or Applied Mathematics — PhD strongly preferred. - 5+ years supporting clinical trials in pharma, biotech, or CRO — commercial experience required. - At least 3 years in a commercial clinical trials environment (pharma/biotech/CRO) — hospital or academia-only backgrounds will not be considered. - Strong SAS programming skills — used daily for QC, efficacy/safety tables, and programmer collaboration. - Solid CDISC expertise (SDTM, ADaM) for regulatory submissions. - Experience with SAP development, TFL programming, and integrated summaries for FDA submissions. - Strong English communication skills — written and verbal. Requirements - CRO experience (strongly desired). - Oncology therapeutic area experience. - R programming knowledge. - PK/PD modeling or biomarker integration experience. - PhD in Statistics or related field.