Senior Biostatistician II

Vertex

$132K — $198K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. or master's degree in Statistics or Biostatistics
  • 3 years of experience for master's degree holders or equivalent combination of education and experience
  • Competence with SAS and R statistical software
  • Solid understanding of drug development statistical methods
  • Strong written and verbal communication skills
  • Effective collaboration with team members and non-statisticians
  • Ability to engage in critical thinking and logical problem-solving

Responsibilities

  • Design and execute the statistical infrastructure for clinical trials or observational studies
  • Participate as a functional representative in Study Execution Team meetings
  • Author Statistical Analysis Plans and present to Statistical Review Forum
  • Plan and conduct Cross-functional Data Reviews and Data Dissemination Plans
  • Collaborate with programming teams for timely delivery and quality of TFLs
  • Develop statistical sections of protocols including sample size and randomization plan
  • Contribute to clinical study reports and may co-author publications

Benefits

  • Hybrid-eligible work arrangement with option for remote work up to two days a week
  • On-site work with ad hoc flexibility
  • Opportunity for professional growth through mentoring
  • Collaborative team environment
  • Involvement in high-impact projects within Global Medicines Development
Full Job Description

Job Description

General Summary:

The Senior Biostatistician II will perform scientific statistical analyses in support of the company's Global Medicines Development and Affairs area with guidance and mentoring on new and complex issues. The incumbent will complete assigned work in a resourceful manner and create alternative approaches to achieve desired results. The incumbent will develop a good knowledge of related disciplines while performing Biostatistics activities with a drug developer mindset.

Key Duties and Responsibilities:

  • Within assigned area, designs, develops and executes the technical/statistical infrastructure for the conduct and evaluation of clinical trials, observational studies, or real world data (RWD) investigations, including related areas/activities.
  • Participates in regular Study Execution Team (SET) team meetings as the functional representative.
  • Works under supervision to author study Statistical Analysis Plans (SAPs), including table, figure, and listing (TFL) shells, and presentation to Statistical Review Forum (SRF).
  • Plans and conducts Cross-functional Data Review (xFDR) , Key Results Memo (KRM), and Data Dissemination Plan (DDP) in order to facilitate the review, summary, and dissemination of key study data/results.
  • Collaborates with statistical programming and other functions to ensure timely delivery of TFLs with good quality. Provides input into programming specifications and review.
  • Develops statistical section of protocols, including sample size estimates and randomization plan.
  • Contributes to clinical study reports (CSRs) and related processes. May author or co-author methodological or study-related publications and posters.
  • Implements design and analysis methods at the study level and participates in SRF discussions of studies assigned to others.
  • Contributes to departmental working group efforts on various technical and operational issues.
  • Seeks guidance and mentoring on new and complex issues
  • Completes assigned work in a resourceful manner and creates alternative approaches to achieve desired results if needed.
  • Develops a basic knowledge of related disciplines with a drug developer mindset.

Knowledge and Skills:

  • Competence with SAS and R statistical software
  • Demonstrated understanding of statistical methods used in drug development
  • Ability to show critical thinking with logical problem-solving
  • Excellent written and verbal communication skills
  • Excels in a team environment
  • Collaborates well with non-statisticians

Education and Experience:

  • Ph. D. or master's degree in Statistics or Biostatistics.
  • Typically requires 3 years of experience for those with a master's degree or the equivalent combination of education and experience.

Pay Range:

$132,200 - $198,200

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 
1.    Hybrid: work remotely up to two days per week; or select
2.    On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. 

#LI-Hybrid

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