Principal Data Scientist - Statistical Programming

GENERAL SUMMARY: 

The Principal Data Scientist: Statistical Programming will report to the VP, Data Science and will focus on applying programming methodology for implementing statistical analyses using SAS for in-house deliverables and performing quality review of outsourced statistical deliverables.  They will participate as active members of a cross-functional team to plan, lead and execute the tasks required to support the clinical development for the assigned programs. 

RESPONSIBILITIES:  

• Provide statistical programming support to assigned projects, including as needed generating programming codes for inhouse data analysis
• Work closely with biostatisticians to review the SAP, and responsible in the development of data/analysis program specification based on the SAP
• Maintain complete and auditable programming documentations for analysis of clinical trials
• Contribute to the development, documentation and maintenance of reusable programming code library
• Collaborate with IT to set-up/maintain the statistical computing infrastructure (e.g., SAS server)
• May act as a biostatistician on small-scale projects

• Collaborate with various functions to ensure robust CRF/EDC development, and quality data collection for the assigned clinical trials
• Oversee the biometrics vendors to ensure the prompt and quality statistical deliverables
• Provide quality review of outsourced statistical deliverables (including inhouse double programming to QC as needed) and coordinate the inhouse review comments
• Contribute to the development of functional-level standards, SOPs, and work instructions and templates
• Represent both biostatistics and statistical programming on study/project teams

• Stay abreast of industry development in biostatistics/statistical programming fields and apply to appropriate systems and processes
• Other duties as assigned, nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time 

QUALIFICATIONS: 

Education: 

• 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience

Experience: 

• Work experience in biotech/pharmaceutical industry or medical research for a minimum of 8 years (or 4 years for a PhD with relevant training)
• Experience in clinical development
• Experience in ophthalmology and/or biologic/gene therapy a plus

Skills: 

• Strong SAS programming skills required with proficiency in SAS/BASE, SAS Macros, SAS/Stat and ODS (proficiency in SAS/SQL, SAS/GRAPH or SAS/ACCESS is a plus)
• Good understanding of standards specific to clinical trials such as CDISC, SDTM, and ADaM, MedDRA, WHODRUG
• Experience with all clinical phases (I, II, III, and IV) is desirable
• Experience with BLA/IND submissions is strongly desirable
• Proficiency in Microsoft Office Apps, such as WORD, EXCEL, and PowerPoint (familiar with the “Chart” features in EXCEL/PowerPoint a plus)
• Good understanding of regulatory requirements for submission-related activities (e.g., CDISC, CDASH, eCTD) and CRT packages (e.g., XPTs Define/xml, reviewer’s guide, analysis metadata report, executable programs) is desirable
• Able to run the P21 checks is a plus
• Proficiency in R programming a plus
• Knowledge of applicable GCP/FDACHMP//ICH/HIPPA regulations
• Displays excellent organization and time management skills, excellent attention to detail, and ability to multi-task in a fast-paced environment with shifting priorities and/or conflicting deadlines
• Excellent written and verbal communication skills and strong team player with demonstrated track record of success in cross-functional team environment
• Proven conceptual, analytical and strategic thinking
• Good interpersonal and project management skills
• Proactively identifies risks, issues, and possible solutions

Base salary compensation range:

Outside of Bay Area Range: $176,000/yr - $198,000/yr

Bay Area Range: $178,000/yr - $211,000/yr

Please note, the base salary compensation range and actual salary offered to the final candidate depends on various factors: candidate’s geographical location, relevant work experience, skills, and years of experience.