Assoc Principal Scientist Statistical Programming

CareerCircle
Rahway, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 224K

Job location

Rahway, United States of America

Tech stack

Clinical Data Management
Clinical Data Repository
Computer Programming
Data Cleansing
Data Governance
Microsoft Project
Commercial Software
Systems Development Life Cycle
SAS (Software)
Software Engineering
Statistics
Macros
Information Technology
Modeling and Simulation
Data Management

Job description

Innovation Algorithms Statistics Compassion SAS Macros Life Sciences Data Modeling Accountability SAS (Software) Pharmaceuticals Clinical Trials Data Governance Computer Science Pharmacodynamics Pharmacokinetics Project Management Data Preprocessing Process Improvement Statistical Methods Applied Mathematics Project Stakeholders Statistical Programming Pharmaceutical Sciences User Requirements Documents Interpersonal Communications, Associate Principal Scientist, Statistical Programming - Rahway, NJ:

  • Provide high quality statistical programming analysis and reporting deliverables for global PK modeling and simulation stakeholders Oncology therapeutic area.
  • Gather and interpret user requirements, retrieve the required data, transform the data into modeling-ready analysis datasets, and develop tables and figures according to the modeling analysis plans.
  • Lead the data stewardship and take accountability for the creation of modeling data from original data source(s) to final modeling dataset.
  • Act as a key collaborator with modelers, statisticians and other project stakeholders and execute project plans efficiently and oversee the work of other team members when opportunities arise.
  • Programmatically synthesize preclinical / clinical data into analysis ready structures from varied data sources.
  • Create modeling-ready datasets by integrating PK, PD and covariate data.
  • Produce tables and graphics for inclusion in study reports and regulatory submissions.
  • Ensure programmatic traceability from data source to modeling result.
  • Support the development of programming standards to enable efficient and high quality production of programming deliverables.
  • Produce SAS transport files and associated documentation for regulatory submissions.
  • Represent statistical programming on process improvement activities., Innovation Algorithms Statistics Compassion SAS Macros Life Sciences Data Modeling Accountability SAS (Software) Pharmaceuticals Clinical Trials Data Governance Computer Science Pharmacodynamics Pharmacokinetics Project Management Data Preprocessing Process Improvement Statistical Methods Applied Mathematics Project Stakeholders Statistical Programming Pharmaceutical Sciences User Requirements Documents Interpersonal Communications +0 Assoc Principal Scientist Statistical Programming, Late-Stage (Hybrid) Merck & Co., Inc Rahway, NJHybrid Teamwork Research Marketing Leadership Mentorship Innovation Statistics Compassion SAS Macros Negotiation Forecasting Coordinating Communication Life Sciences Biostatistics Data Modeling Accountability SAS (Software) Clinical Trials Data Management Project Planning Computer Science Telephone Skills Decision Science Microsoft Project Outcomes Research Project Management Numerical Analysis Applied Mathematics Program Development Reporting Processes Project Stakeholders Statistical Analysis Contingent Workforce Electronic Submission Waterfall Methodology Statistical Programming Relationship Management Research And Development Pre-Clinical Development Clinical Data Management Computational Statistics Systems Development Life Cycle Software Development Life Cycle Software Development Methodologies +0 Assoc Principal Scientist Statistical Programming, Late-Stage (Hybrid) Merck & Co., Inc Rahway, NJHybrid Teamwork Research Marketing Leadership Mentorship Innovation Statistics Compassion SAS Macros Negotiation Forecasting Coordinating Communication Life Sciences Biostatistics Data Modeling Accountability

Requirements

  • Must have a Bachelor's degree (or US equivalent) in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, Pharmaceutical Sciences, or related field plus 9 years SAS programming experience in a clinical trial environment, * Master's degree (or US equivalent) in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, Pharmaceutical Sciences, or related field plus 7 years SAS programming experience in a clinical trial environment., * Must possess significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; and programming expertise with clinical endpoint data (efficacy and safety) and pharmacokinetic data (raw concentration data, derived PK parameters).
  • Ability to design and develop complex programming algorithms; to efficiently manipulate clinical trial datasets including complex data preprocessing, filtering, and manipulation; demonstrated ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements.
  • Knowledge of pharmaceutical development processes.
  • Ability to comprehend analysis plans which may describe methodology to be programmed.
  • Understanding of statistical or pharmacokinetic terminology and concepts; and ability to implement statistical methods not currently available through commercial software packages also required.
  • Must possess broad knowledge and significant experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings).
  • Ability to lead at a program level; ability to determine approach and ensure consistency and direct development of others when opportunities arise; ability to engage key stakeholders required.
  • Must possess strong project management skills; excellent interpersonal skills; ability to negotiate and collaborate effectively; and excellent written, oral, and presentation skills., Clinical Trials Data Management Project Planning Computer Science Telephone Skills Decision Science Microsoft Project Outcomes Research Project Management Numerical Analysis Applied Mathematics Program Development Reporting Processes Project Stakeholders Statistical Analysis Contingent Workforce Electronic Submission Waterfall Methodology Statistical Programming Relationship Management Research And Development Pre-Clinical Development Clinical Data Management Computational Statistics Systems Development Life Cycle Software Development Life Cycle Software Development Methodologies +0

Benefits & conditions

The salary range for this role is: $144,373.00 - $224,100.00 per year

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.

About the company

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

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