Job Description:
Merck 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 the Merck Center for Observational and Real World Evidence.
The statistical programming analyst utilizes strong SAS expertise to efficiently 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.
- Gathers and interprets user requirements from epidemiologists and outcomes research scientists, retrieves the required data from electronic healthcare databases, and develops disease cohorts, analytical data sets, tables and figures according to the analytical plan.
- Key collaborator with observational researchers and epidemiologists to execute project plans efficiently and oversee the work of other team members when opportunities arise.
- Key areas of focus include:
- programmatically developing and maintaining disease cohorts
- statistical programming support for Comparative Effectiveness Research, Post-authorization safety studies, and clinical trial design planning
- evaluating the data integrity of internally licensed electronic healthcare databases
- creating standardized macros across the electronic healthcare databases including outcome and exposure definitions and standard data summaries
- engaging in industry activities, e.g., Observational Medical Outcomes Pilot (OMOP) common data model, Observational Health Data Sciences and Informatics
Qualifications
Education:
* Required: BS in Computer Science, Statistics, Applied Mathematics, Biological Sciences or Engineering
* Preferred: MS in Computer Science, Statistics, Applied Mathematics, Biological Sciences or Engineering
Required:
- BS with a minimum of (9) years or MS with a minimum of (7) years SAS programming experience.
- Broad knowledge and significant experience in developing analysis and reporting programming deliverables (data sets, observational research and statistical analyses, report tables, and graphics) for research and development projects.
- Significant expertise in SAS programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; Graphics experience; systems and database expertise.
- Designs and develops complex programming algorithms.
- Ability to comprehend data analysis plans which may describe observational research and statistical methodology to be programmed; understanding of observational research and statistical terminology and concepts; implements observational methods not currently available through commercial software packages.
- Programming expertise with electronic healthcare databases (electronic medical records and insurance claims); experience with sampling strategies for large databases; efficiently manipulates large databases including complex data preprocessing, filtering, and manipulation.
- Thrives working in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements.
- Strong project management skills; a program leader; determines appropriate programming methodology, assures programming consistency across analyses, completes programming tasks, and directs the program development effort of other programmers when opportunities arise; an experienced programming mentor; ability to engage key stakeholders.
- Excellent communication and negotiation skills with a demonstrated history of teamwork and collaboration; seamlessly assimilates to new projects and stakeholders; an experienced programming mentor.
- UNIX operating system expertise, Oracle SQL expertise.
- 5% Travel
Preferred:
- Familiarity with the fields of Outcomes Research and Epidemiology.
- Experience working with coding systems such as ICD-9, READ/OXMIS, and ICD-10.
- Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC).
- Utilizes and contributes to the development of standard departmental SAS macros and tools.
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.
Search Firm Representatives - Please read carefully:
Merck is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.
ZZ5ML
Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of its manifestations.
Job: Statistical Programming
Job Title:Associate Principle Scientist, Statistical Programming
Primary Location: NA-US-PA-Upper Gwynedd
Other Locations: NA-US-NJ-Rahway
Employee Status: Regular
Travel: Yes, 5 % of the Time
Number of Openings: 1
Shift (if applicable): 1st
Additional Info:
[Click Here to Access the Original Job Post]
Merck 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 the Merck Center for Observational and Real World Evidence.
The statistical programming analyst utilizes strong SAS expertise to efficiently 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.
- Gathers and interprets user requirements from epidemiologists and outcomes research scientists, retrieves the required data from electronic healthcare databases, and develops disease cohorts, analytical data sets, tables and figures according to the analytical plan.
- Key collaborator with observational researchers and epidemiologists to execute project plans efficiently and oversee the work of other team members when opportunities arise.
- Key areas of focus include:
- programmatically developing and maintaining disease cohorts
- statistical programming support for Comparative Effectiveness Research, Post-authorization safety studies, and clinical trial design planning
- evaluating the data integrity of internally licensed electronic healthcare databases
- creating standardized macros across the electronic healthcare databases including outcome and exposure definitions and standard data summaries
- engaging in industry activities, e.g., Observational Medical Outcomes Pilot (OMOP) common data model, Observational Health Data Sciences and Informatics
Qualifications
Education:
* Required: BS in Computer Science, Statistics, Applied Mathematics, Biological Sciences or Engineering
* Preferred: MS in Computer Science, Statistics, Applied Mathematics, Biological Sciences or Engineering
Required:
- BS with a minimum of (9) years or MS with a minimum of (7) years SAS programming experience.
- Broad knowledge and significant experience in developing analysis and reporting programming deliverables (data sets, observational research and statistical analyses, report tables, and graphics) for research and development projects.
- Significant expertise in SAS programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; Graphics experience; systems and database expertise.
- Designs and develops complex programming algorithms.
- Ability to comprehend data analysis plans which may describe observational research and statistical methodology to be programmed; understanding of observational research and statistical terminology and concepts; implements observational methods not currently available through commercial software packages.
- Programming expertise with electronic healthcare databases (electronic medical records and insurance claims); experience with sampling strategies for large databases; efficiently manipulates large databases including complex data preprocessing, filtering, and manipulation.
- Thrives working in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements.
- Strong project management skills; a program leader; determines appropriate programming methodology, assures programming consistency across analyses, completes programming tasks, and directs the program development effort of other programmers when opportunities arise; an experienced programming mentor; ability to engage key stakeholders.
- Excellent communication and negotiation skills with a demonstrated history of teamwork and collaboration; seamlessly assimilates to new projects and stakeholders; an experienced programming mentor.
- UNIX operating system expertise, Oracle SQL expertise.
- 5% Travel
Preferred:
- Familiarity with the fields of Outcomes Research and Epidemiology.
- Experience working with coding systems such as ICD-9, READ/OXMIS, and ICD-10.
- Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC).
- Utilizes and contributes to the development of standard departmental SAS macros and tools.
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.
Search Firm Representatives - Please read carefully:
Merck is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.
ZZ5ML
Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of its manifestations.
Job: Statistical Programming
Job Title:Associate Principle Scientist, Statistical Programming
Primary Location: NA-US-PA-Upper Gwynedd
Other Locations: NA-US-NJ-Rahway
Employee Status: Regular
Travel: Yes, 5 % of the Time
Number of Openings: 1
Shift (if applicable): 1st
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]