Principal Statistician, Statistical Sciences

Johnson & Johnson

High Wycombe, UK

Ref: 1905746483W

Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Janssen Research & Development, LLC, a member of Johnson & Johnson's Family of Companies, is recruiting for a Director, Team Leader.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.

Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.JanssenRnD.com for more information.

We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.

The Principal Statistician supports the design, execution, analysis, interpretation, and reporting or communication of data evidence for Pre/Early/Late Clinical Development, Research & Discovery, Medical Affairs, Real World Evidence, or Manufacturing Sciences programs for research, development, and/or marketed product needs in Janssen, with minimal supervision.

This position supports statistical aspects of business-critical and/or regulatory commitments, provides input to program plans with limited supervision, and represents Statistics & Decision Sciences (SDS) for cross-functional and intra-departmental teams or working groups. He/She abides by the Credo and practices J&J Leadership Imperatives for Individuals: Lead, Shape, Connect, and Deliver.

Principal responsibilities will include: Expertise:

Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability.

Quality and Compliance:

Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity.

Drug Development:

Demonstrates thorough knowledge of pharmaceutical research and development strategies and execution. Takes a lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Is an evolving leader for providing input to team in terms of optimizing study or trial designs in line with study or indication level objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge.

Disease Area Knowledge:

Demonstrates knowledge for at least one disease area/target.

Innovation:

Suggests and performs the evaluation of alternative or innovative approaches to statistical methods or business processes.

Representation: Represents Statistics & Decision Sciences for cross-functional and intra-departmental teams or working groups relating to scientific or process initiatives.

External Engagement: Participates as a member of professional organizations, e.g. by attending meetings as chair or presenter.

Mentor:

Supervises contractors/special assignment personnel/interns/co-ops as required. Mentors junior colleagues in techniques, processes, and responsibilities.

Process:

Participates in process improvement or standards development initiatives.

Complexity:

Works on increasingly more complex programs after mastering standard ones. Proactively identifies complexity in terms Scientific, Statistical, Health Authority, Operational, and Partnership issues.

Collaboration:

Builds cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations (CROs), consultants) to achieve results for project specific needs with focus on improving communication, efficiency, and productivity. Works cross-functionally to identify and resolve issues.

Communication:

Has very good written, oral, and interpersonal communication skills. Demonstrated ability to collaborate and consult with non-statisticians, translating complex statistical concepts to drug research & development partners. Bridges scientific and business needs – integrating quantitative sciences and strong disease or functional area knowledge and appropriate market/competitive intelligence.

Programming:

Demonstrates full proficiency in SAS or R, as well as a working knowledge of other relevant computational tools as required.

Qualifications/Experience Requirements:

  • Ph.D. in Statistics or related field with strong relevant experience, or
  • Master’s in Statistics or related field with commensurate years of relevant experience.
  • Proficient in SAS or R programming.
    good written, oral, and interpersonal communication skills.
  • Ability to work independently
  • Demonstrated ability to work in interdisciplinary contexts outside statistics.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

iwoca

Tottenham Court Road, London

August 24, 2019

The Royal College of Obstetricians and Gynaecologists (RCOG)

London, NW1

September 09, 2019

Tui

Luton, UK

September 20, 2019

PayPal

London, UK

August 29, 2019

Behavioural Insights Team

Central London

September 09, 2019

London School of Economics

London, UK

September 01, 2019

Health Economics and Outcomes Research

Cardiff

August 31, 2019

University of Glasgow

Glasgow, Scotland

September 03, 2019

Tui

Luton, UK

September 12, 2019

Institute of Statistical Science Academia Sinica

Taipei, Taiwan

December 27, 2019

Shell

Bank Street, London

September 04, 2019

Care Quality Commission

September 10, 2019

The Royal College of Obstetricians and Gynaecologists (RCOG)

London, NW1

September 09, 2019

Our Partners

Logo for Logo University Of Manchester
Logo for Yougov
Logo for Ministry
Logo for Ons Logo
Logo for Un
Logo for Office Depot
Logo for Mit Logo
Logo for Fca

Like what you see?

Post a job