Posted 30+ days ago

Job summary

• Job post source

  This job is directly from XponentiaL Data

• Job overview

  The Senior Biostatistician at XponentiaL Data leads advanced statistical and decision modeling efforts to support clinical trial design, regulatory submissions, and commercial strategies, impacting the success of biomedical research and market access.

• Responsibilities and impact

  The role involves leading clinical trial design and analysis, overseeing statistical programming, preparing regulatory submission materials, supporting data monitoring committees, conducting real-world evidence and health economics modeling, ensuring data standards and governance, and providing strategic statistical consultation.

• Experience and skills

  Candidates must have 7+ years in biomedical statistical methods, expertise in biometrics and decision modeling, proficiency in SAS, R, or Python, experience with regulatory submissions and agencies, strong RWE and HEOR modeling skills, knowledge of data standards and audit readiness, excellent communication skills, and a Master's or Ph.D. in a related quantitative field.

Company overview

XponentL Data, founded in 2023 and headquartered in Philadelphia, Pennsylvania, is a data infrastructure and analytics company specializing in data products, artificial intelligence, and machine learning solutions. The company focuses on providing innovative data experiences and consultancy services to help clients optimize their data strategies and unlock value from their data assets. Operating in the IT services and consulting industry, XponentL Data has a strong presence in New York City and collaborates with organizations like the Pistoia Alliance to advance data-driven initiatives.

How to land this job

• Tailor your resume to emphasize your extensive experience in clinical trial design and advanced statistical methods, highlighting leadership in adaptive designs and regulatory submission expertise relevant to XponentiaL Data's Senior Biostatistician role.

• Highlight proficiency with statistical programming languages such as SAS, R, or Python, especially your ability to generate TLFs and work with CDISC standards like ADaM and SDTM, as these are critical for the position.

• Apply through multiple channels including XponentiaL Data's corporate career site and LinkedIn to maximize your application visibility and ensure you reach the right hiring managers.

• Connect with professionals in XponentiaL Data's Biometrics & Decision Modeling division on LinkedIn; start conversations by referencing recent clinical trial innovations or regulatory challenges the company has addressed, or by expressing your enthusiasm for their work in RWE and HEOR modeling.

• Optimize your resume for ATS by incorporating key terms from the job description such as 'clinical trial design,' 'adaptive designs,' 'regulatory submissions,' 'CDISC,' 'RWE,' and 'HEOR' to improve your chances of passing automated screenings.

• Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and discover relevant LinkedIn contacts, allowing you to focus your energy on preparing for interviews and networking effectively.