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Senior Statistical Programmer, Observational Research and Real World Evidence. Job in Upper Gwynedd, Pennsylvania, United States in Merck & Co., Inc.. Nelest.com
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Senior Statistical Programmer, Observational Research and Real World Evidence

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Job ID:

22192

Location:

Upper Gwynedd, PA 

Job function:

Information Systems Management
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Posted:

03.05.2016

Employment Type:

Full time

Industry:

Healthcare / Pharma
col-wide   

Title:

Senior Statistical Programmer, Observational Research and Real World Evidence

Job Description:

Description Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and 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 an individual 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 supports statistical programming activities for the Merck Center for Observational and Real World Evidence (CORE). The senior statistical programmer utilizes SAS 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 senior statistical programmer will gather and interpret user requirements from CORE scientists (e.g. epidemiologists and outcomes research scientists), retrieve the required data from electronic healthcare databases, and develop disease cohorts, analytical datasets, tables and figures and perform validation activities following departmental SOPs. The senior statistical programmer will be a key collaborator with CORE scientists to execute project plans efficiently. Travel: No Description Senior Statistical Programmer, Observational Research and Real World Evidence-STA000756 Description Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and 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 an individual 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 supports statistical programming activities for the Merck Center for Observational and Real World Evidence (CORE). The senior statistical programmer utilizes SAS 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 senior statistical programmer will gather and interpret user requirements from CORE scientists (e.g. epidemiologists and outcomes research scientists), retrieve the required data from electronic healthcare databases, and develop disease cohorts, analytical datasets, tables and figures and perform validation activities following departmental SOPs. The senior statistical programmer will be a key collaborator with CORE scientists to execute project plans efficiently. Qualifications Education:
  • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 5 years SAS programming experience.
  • MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience

Job Requirements:

Qualifications Education:
  • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 5 years SAS programming experience.
  • MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience


Required:
  • Effective interpersonal skills and ability to negotiate and collaborate effectively
  • Effective written, oral, and presentation skills
  • Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
  • A project leader, completes tasks independently at a project level, ability to collaborate with key stakeholders
  • Significant SAS programming experience including data steps, procedures, SAS/MACRO, SAS/GRAPH
  • Designs and develops programming algorithms
  • Ability to quickly and effectively learn new program techniques and data structures, capacity to seamlessly assimilate to new projects
  • Ability to comprehend data analysis plans which may describe observational research and statistical methodology to be programmed, understanding of observational research or statistical terminology and concepts, implements observational methods not currently available through commercial software packages
  • Efficiently manipulates large databases including complex data preprocessing, filtering and manipulation, experience with sample strategies for large databases,
  • Unix operating system experience, Oracle SQL experience, systems and database experience
  • Thrives working in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements


Preferred:
  • Familiarity with the fields of Outcomes Research and Epidemiology
  • Experience working with coding systems such ICD-9, READ/OXMIS, and ICD-10
  • Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)
  • Ability and interest to work across cultures and geographies
  • Active in professional societies
  • Experience in process improvement
  • Visa sponsorship is available for this position


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. Our Company'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 & Co., Inc. 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. For more information about personal rights under Equal Employment Opportunity, visit: EEOC Poster EEOC GINA Supplement? Merck is an equal opportunity employer, Minority/Female/Disability/Veteran - proudly embracing diversity in all of its manifestations.

Zip Code:

19446

Company Info
Merck & Co., Inc.

Kenilworth, NJ, United States

Phone:
Web Site: merck.com

Company Profile

Company Info


Merck & Co., Inc.
Kenilworth, NJ, United States
Phone:
Web Site: merck.com

Senior Statistical Programmer, Observational Research and Real World Evidence

col-narrow-left   

Job ID:

22192

Location:

Upper Gwynedd, PA 

Job function:

Information Systems Management
col-narrow-right   

Posted:

03.05.2016

Employment Type:

Full time

Industry:

Healthcare / Pharma
col-wide   

Title:

Senior Statistical Programmer, Observational Research and Real World Evidence

Job Description:

Description Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and 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 an individual 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 supports statistical programming activities for the Merck Center for Observational and Real World Evidence (CORE). The senior statistical programmer utilizes SAS 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 senior statistical programmer will gather and interpret user requirements from CORE scientists (e.g. epidemiologists and outcomes research scientists), retrieve the required data from electronic healthcare databases, and develop disease cohorts, analytical datasets, tables and figures and perform validation activities following departmental SOPs. The senior statistical programmer will be a key collaborator with CORE scientists to execute project plans efficiently. Travel: No Description Senior Statistical Programmer, Observational Research and Real World Evidence-STA000756 Description Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and 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 an individual 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 supports statistical programming activities for the Merck Center for Observational and Real World Evidence (CORE). The senior statistical programmer utilizes SAS 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 senior statistical programmer will gather and interpret user requirements from CORE scientists (e.g. epidemiologists and outcomes research scientists), retrieve the required data from electronic healthcare databases, and develop disease cohorts, analytical datasets, tables and figures and perform validation activities following departmental SOPs. The senior statistical programmer will be a key collaborator with CORE scientists to execute project plans efficiently. Qualifications Education:
  • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 5 years SAS programming experience.
  • MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience

Job Requirements:

Qualifications Education:
  • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 5 years SAS programming experience.
  • MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience


Required:
  • Effective interpersonal skills and ability to negotiate and collaborate effectively
  • Effective written, oral, and presentation skills
  • Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
  • A project leader, completes tasks independently at a project level, ability to collaborate with key stakeholders
  • Significant SAS programming experience including data steps, procedures, SAS/MACRO, SAS/GRAPH
  • Designs and develops programming algorithms
  • Ability to quickly and effectively learn new program techniques and data structures, capacity to seamlessly assimilate to new projects
  • Ability to comprehend data analysis plans which may describe observational research and statistical methodology to be programmed, understanding of observational research or statistical terminology and concepts, implements observational methods not currently available through commercial software packages
  • Efficiently manipulates large databases including complex data preprocessing, filtering and manipulation, experience with sample strategies for large databases,
  • Unix operating system experience, Oracle SQL experience, systems and database experience
  • Thrives working in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements


Preferred:
  • Familiarity with the fields of Outcomes Research and Epidemiology
  • Experience working with coding systems such ICD-9, READ/OXMIS, and ICD-10
  • Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)
  • Ability and interest to work across cultures and geographies
  • Active in professional societies
  • Experience in process improvement
  • Visa sponsorship is available for this position


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. Our Company'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 & Co., Inc. 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. For more information about personal rights under Equal Employment Opportunity, visit: EEOC Poster EEOC GINA Supplement? Merck is an equal opportunity employer, Minority/Female/Disability/Veteran - proudly embracing diversity in all of its manifestations.

Zip Code:

19446
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