Associate Director, Statistical Programming - R Implementation

Merck & Co.

Basking Ridge, NJ • On-site

$200 - $250/hr

Other

Posted 2 days ago

New


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Job Summary

The purpose of this job is to provide statistical programming technical support related to R programming, R related system and technology. Develop and drive R programming, package, and R shiny app development. Lead the R programming implementations. Represent programming in DS external collaborations on R technology and capabilities.

ResponsibilitiesLead/contribute to DS R programming system technology development:
  • Lead/contribute to the R programming system development.
  • Act as R programming SME and functional representative of R systems and infrastructure to identify system and technology development needs and to define functional requirements.
  • Provide technical guidance to the development.
  • Lead and may approve UATs.
  • Lead/contribute to resolutions of BDM departmental (internal and external) R related analysis and programming technical issues and difficulties.
  • Lead the trainings and implementations of R system and programming technology.
Developing R package and Shiny apps:
  • Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection.
  • Lead the development and validations of R package and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations.
  • Lead, advocate and nurture R programming innovation globally within DS.
  • Represent the programming innovation outside of DS and establish the company reputations and images.
  • Develop study specific shiny apps or execute shiny apps at study level.
  • Publish shiny apps for study or against integrated database
Representing cross-functional collaborations on R capabilities and systems:
  • Collaborate with RD non-BDM and non-RD R user group or developers.
  • Collaborate with biostat innovation to enhance BDM overall R capabilities and implementations.
  • Collaborate with CSPV to enable/effectively support safety signaling detections and across compounds safety reviews (i.e., ILD).
  • Collaborate with Clinical Development and Clinical Sciences for effective data surveillance
QualificationsEducation Qualifications
  • Bachelor's Degree an accredited institution in a science or in a technical field such as computer science or mathematics required Master's Degree preferred
Experience Qualifications
  • 10 or More Years Bachelor's degree with minimum 10 years (or Master's degree with minimum of 7 years) proven experience required
  • 7 or More Years Previous experiences in R programming area, involved in R and/or Shiny app development and implementation. required
  • Advanced working knowledge of all aspects of the R and SAS programming language used in clinical trials programming. required
  • Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis required
  • Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials. required
  • Having knowledge of all phases of drug development, including early and late phase clinical development and submission required
  • Having solid background of applied statistics required
  • Solid knowledge of new advanced statistical methods using SAS or R required
  • Advanced knowledge in database structures and set-up required
Travel Requirements

Ability to travel up to 10% of the time.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range:

USD$171,120.00 - USD$256,680.00

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Director Statistical Programming?

A: To succeed as a Director of Statistical Programming, key technical skills include proficiency in programming languages such as R, Python, and SQL, as well as expertise in statistical modeling, data visualization, and data management. Soft skills like strong leadership, effective communication, and project management are also crucial, enabling the director to guide teams, collaborate with stakeholders, and drive project delivery. By combining technical expertise with strong leadership and communication skills, a Director of Statistical Programming can effectively lead teams, drive business outcomes, and advance their career through strategic decision-making and innovation.

Q: What is the career path for a Director Statistical Programming?

A: A Director of Statistical Programming typically follows a career progression from entry-level roles such as Statistical Programmer or Biostatistician, to mid-level positions like Senior Statistical Programmer or Lead Biostatistician, and eventually to senior leadership roles like Director of Statistical Programming. Key opportunities for skill development and professional growth in this role include staying up-to-date with emerging statistical methodologies, programming languages, and regulatory requirements, as well as developing leadership and project management skills to oversee teams and projects. Long-term career prospects for a Director of Statistical Programming may include transitioning into executive roles such as Vice President of Biostatistics or Chief Biostatistician, or pursuing opportunities in academia, consulting, or industry leadership.



Merck & Co. job posting for a Associate Director, Statistical Programming - R Implementation in Basking Ridge, NJ with a salary of $164 to $247 Hourly, 4.0 star rating from 2 Breakroom reviews, ranked #43 in pharmaceutical, with a map of Basking Ridge location.