Senior Programmer
Merck & Co., Inc.
Mobile Users click hereMerck is a global health care leader with a diversified portfolio of prescription medicines, vaccines and consumer health products, as well as animal health products. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us.
Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.
This position provides high quality statistical programming analysis and reporting deliverables for global stakeholders in Early Clinical Development Statistics spanning all Merck therapeutic areas.
Responsibilities include and are not limited to the following:
- Gather and interpret user requirements for analysis and programming requests in close collaboration with statistical clients, retrieve the required data, and then transform the data into analysis datasets for further statistical analysis and reporting needs.
- Partner with statisticians to solve problems; reduce the amount of programming task being completed by statisticians to facilitate an increase in efficiency and compliance for statistical analyses.
- Write programs to analyze data with statistical methods which are not currently available through commercial software packages.
Key areas of focus may include the following:
- Preprocessing, filtering, and manipulating complex data for the analyses of molecular profiling data, imaging data, and external data other than traditional laboratory data
- Technical consultation and analytical support to early clinical development statisticians for exploratory and unplanned statistical analyses
- Preparation of compliant programming code for regulatory submissions
- Pharmacogenomics programming support to manipulate large genetic datasets.
Education:
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Required: Bachelor's Degree in Computer Science, Statistics, Applied Mathematics, Biological Sciences, or Engineering
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Preferred: Master's Degree in Computer Science, Statistics, Applied Mathematics, Biological Sciences, or Engineering
Required Experience:
- With a BS, Minimum of (5) years SAS programming experience in a clinical trial environment
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With a MS, Minimum of (3) years SAS programming experience in a clinical trial environment
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Knowledge and experience in developing analysis and reporting statistical programming deliverables (datasets, statistical analyses, report tables, and graphics) for research and development projects
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Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; Graphics experience; systems and database expertise
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A project leader; completes programming tasks independently at a project level; follows program-wide standards and suggests/develops additional standards; ability to engage key stakeholders
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Designs and develops complex programming algorithms
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Ability to comprehend statistical analysis plans which may describe statistical methodology to be programmed; Understanding of statistical terminology and concepts; Implements statistical methods not currently available through commercial software packages.
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Demonstrated ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements; knowledge of pharmaceutical early development processes
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Efficiently manipulates very large databases including complex data preprocessing, filtering, and manipulation; programming expertise with clinical trial, PK, Molecular Profiling (genetic), and Imaging data
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Strong communication and negotiation skills with a demonstrated history of teamwork and collaboration; seamlessly assimilates to new projects and stakeholders; an experienced programming mentor
- 5% Travel
Preferred Experience:
- Demonstrated working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)
- Utilizes and contributes to the development of standard departmental SAS macros
- Experience with at least one other software than SAS (e.g., R, Oracle SQL, Splus, VBA, FSL)
- Bioinformatics knowledge
- Experience with Python, Perl, or parallel processing in R to efficiently manipulate very large datasets
- Ability to look up genes and annotate genes
Our employees are the key to our company’s success. We demonstrate our commitment to our employees by offering a competitive and valuable rewards program. Merck’s benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives. If you need an accommodation for the application process please email us at staffingaadar@merck.com.
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