Scientist, Stat. Programming , Real World Evidence (Hybrid)

MSD•North Wales, PA

1d•Hybrid

About The Position

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health. This position provides high quality statistical programming analysis and reporting and regulatory submission deliverables for Real World Evidence (RWE) projects across our Company's Biostatistics and Research Decision Sciences (BARDS) group. The statistical programmer utilizes multiple programming languages including SAS, SQL and R to manipulate electronic healthcare databases to discover disease prevalence and risk factors, describe drug utilization patterns and disease progression, support market research, and answer clinical development questions. In this role, the statistical programmer will work with other programming colleagues to gather and interpret user requirements from BARDS epidemiologists, retrieve the required data from electronic healthcare databases, and develop disease cohorts, analytical datasets, tables and figures under the guidance of a senior level programmer. The statistical programmer will also perform validation activities following departmental SOPs.

Requirements

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, Data Science or related field plus 2-4 years programming experience in SAS and/or R
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, Data Science or related field plus programming experience in SAS and/or R.
Effective interpersonal skills and ability to negotiate and collaborate effectively
Effective written, oral, and presentation skills
Completes tasks independently, manages timelines
Experience in SAS and\or R programming including data manipulation, or statistical analysis, or graphics or tabulation techniques
Designs and develops programming algorithms
Ability to quickly and effectively learn new programming techniques and data structures
Takes direction effectively and completes programming tasks under the guidance of a senior programmer at a project level
Demonstrated success in the assurance of quality work
Willingness to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements
Strategic thinking - ability to turn strategy into tactical activities
Team oriented with demonstrated history of teamwork and collaboration, enjoying diversity, respect and integrity
An interest to advance career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility

Nice To Haves

An understanding of observational research or statistical terminology and concepts
Ability to comprehend analysis plans which may describe observational research and statistical methodology to be programmed
Knowledge or experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
Knowledge or experience in design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices
SAS programming experience including data steps, procedures, SAS/MACRO; R programming experience including development of functions and packages
Knowledge of efficiency techniques for manipulating large databases including complex data preprocessing, filtering and manipulation; knowledge of sample strategies for large databases
Experience with other programming languages or scripting such Python
Unix operating system experience; SQL experience; systems and database experience
Working knowledge of reporting processes (SOPs) and software development life cycle (SDLC)
Experience working with coding systems such as ICD-9, ICD-10, NDC, and LOINC
Ability and interest to work across cultures and geographies
Experience working in a regulated environment
Experience in process improvement
Knowledge of the concepts of data standards such as CDISC ADaM or Common Data Model
Ability to anticipate stakeholder requirements

Benefits

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.
More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

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