- Act as the primary contact and provide oversight for all biostatistics related activities outsourced to CROs and external vendors
- Work closely with colleagues (Medical, Clinical Scientists, Data Management, Statistical Programmers, Medical Writing, Safety, Clinical Operations, and Regulatory teams) to:
Review protocols and prepare statistical methods section(s), including sample size estimation and clinical endpoint assessments, to ensure Aspyrian Therapeutics conducts well designed, efficient, cost-effective as well as statistically valid clinical trials
Generate and/or review randomization schedule(s) to ensure there are no errors and protocol requirements are met. Perform ongoing monitoring of actual randomization scheme applied by IVRS/IWRS
Review data collection strategies and instruments, database design, edit check specifications, external data transfer specifications, and SDTM mapping as needed
Prepares and/or reviews detailed Statistical Analysis Plan (SAP) including development of standardized well-presented mock-up displays for Tables, Listings, and Figures (TLFs), conduct data analyses, and oversee preparation of all TLFs (including review of work by programmers), as well as preparation of a formal statistical analysis report
Create or review programming specifications for analysis datasets and TLFs, including SDTM and ADaM specifications
Coordinate and lead team review and consolidation of comments for SAP, mock-TLFs, and unblinded populated TLFs post database lock
Ensures proper closeout and archiving of study related materials, i.e. randomization lists, datasets, programs, specifications, macros, etc.
- Lead and manage external (and/or internal) biostatistics and statistical programming resources supporting studies and programs for Aspyrian Therapeutics
- Build in-house statistical and programming department to support those activities as Aspyrian Therapeutics expands and grows
- Develop Standard Operating Procedures, work instructions, guidelines, data standards, and processes as needed to govern the biostatistics group and deliverables
- Ensure accurate, statistically valid deliverables included in protocols, statistical analysis plans, TLFs, study reports, manuscripts, and regulatory submission documents
- Coordinate achievement of major statistical deliverables and milestones in collaboration with other functions
- Leverage standardization to maximize global data integration and interpretability
- Without guidance, retrieve and understand regulatory requirements regarding submission of clinical data to various agencies (e.g., CDISC SDTM, ADaM, Define.xml, Reviewer's Guide, via eCTD) and provide CRO oversight in ensuring deliverables meet project needs, standards, and expectations
- Responsible for providing statistical leadership for preparation of marketing applications (BLA) to FDA, EMA, PMDA, or other worldwide regulatory agencies
- Apply innovative statistical approaches to the design of studies and to the analysis/reporting of study results (e.g., modeling and simulation, adaptive design, and/or Bayesian approaches)
- Keeps abreast of literature/advancements in science/medicine/technology/statistics/standards in own and related fields of the drug development programs
- A PhD in Statistics/Biostatistics and at least 10 years of relevant pharmaceutical experience or a MSc in Statistics/Biostatistics and at least 13 years of relevant pharmaceutical experience
- Comprehensive knowledge of statistical methodology in design and analysis of clinical trials including Bayesian modeling and adaptive design
- Experience with regulatory requirements relating to clinical development of drugs
- BLA experience with combination drug/device a plus and eCTD submissions preferred
- Excellent knowledge of major statistical software programs including SAS
- Excellent knowledge of CDISC submission requirements regarding SDTM, ADaM, Define.xml, Reviewer's Guide, Validation Rules, and Study Data Standardization Plan
- Excellent verbal and written communication skills, and excellent inter-personal skills
- The qualified applicant must be flexible, well-organized, and can work well under pressure and prioritize