02/25/21 9:48 AM
Dear Ronald,
My name is Gowtham and I'm a recruiter at Axelon Services Corporation. We have your resume on file and I thought you may be interested in an opportunity we currently have available for a Statistical Programmer/Analyst with a major company located in Parsippany, NJ. Please review the job description below.
If you are qualified and interested in pursuing this opportunity, please call me at (212) 696-3432 ASAP. You may also send me an e-mail, if you do respond via e-mail please include a daytime phone number so I can reach you. In considering candidates, time is of the essence, so please respond ASAP.
If you do not feel like you are a good fit, but you know someone who may be looking for position like this, please feel free to forward this email onto them. I also encourage you to visit our website at www.axelon.com for all of our job openings.
RWE Statistical Programmer/Analyst
Location: Remote or West Chester, PA or Parsippany, NJ
Term: Contractor (annual renewal)
SUMMARY
This position will primarily support strategic product value generation initiatives at Client R&D through statistical programming and analytics for Observational and Real World Evidence using large health care administrative databases, electronic medical records, and registries. The incumbent will utilize SAS or R, web-based analytics tools and other programming languages to efficiently work with very large real world databases, to identify and Client target patient populations, disease prevalence and risk factors, describe drug utilization, treatment patterns and disease progression, and other exploratory questions. In this role, the RWE Analyst will work closely within a cross-functional team to execute and deliver on projects in an accurate, effective and timely manner.
RESPONSIBILITIES:
• Provide statistical programming support for assigned projects, focusing on real world data analyses from large databases (e.g., Electronic Health Records, medical claims, registries etc.).
• Efficiently manipulate large databases including complex data preprocessing, filtering and manipulation.
• Assist in development of detailed protocols and SAP according to study objectives. Create table and dataset specifications, in collaboration with statisticians and study leads.
• Prepare appropriate datasets by defining patient or disease cohorts, establishing study samples, and structuring data according to research objectives and study design.
• Perform statistical analysis, generate analytic reports, tables, graphics, and slides, and communicate project findings to cross functional teams, or stakeholders.
• In addition to hands-on SAS or R programming, leverage available web-based RWE analytical tools.
• Familiar with cloud and high-performance computing environments (Azure, AWS)
• Provide technical expertise to implement programming and methodology for complex RWE studies.
• Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.
• Assist in creation and implementation of validation activities for RWE studies following departmental SOPs.
• Ensure quality and timely deliverables for all assigned studies/projects.
• Interface with the IT department to maintain and develop cloud computing capacity and analytic tools for RWE studies.
• Collaborate effectively in a matrix and cross-functional environment with programmers, statisticians, epidemiologists, outcomes research scientists and other stakeholders across global R&D such as Medical Affairs, Health Economics and Outcomes Research (HEOR), Clinical Development, Pharmacovigilance and Regulatory Affairs.
• Ensure professional development to enhance knowledge, skills, communication, scientific methodology, operational efficiency, and compliance with policies, regulations, and corporate standards and processes.
QUALIFICATIONS:
Required Skills
• An advanced educational degree (MA/MS, PhD, ScD, PharmD, etc.) in a quantitative science such as statistics, biometrics, epidemiology, econometrics, psychometrics, operations research, engineering, computer science, data/life science, etc.
• A minimum of 5 years hands-on professional R or SAS programming experience
• A minimum of 2 years hands-on work experience with real world studies using large claims/EMR databases in HEOR or related functions.
• Demonstrated experience and knowledge working with Truven/IBM Marketscan data and similar healthcare databases.
• Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings).
• Experience working with medical and billing coding systems such as ICD-9, ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
• Understanding of observational research or statistical terminology and concepts is essential.
• Ability to quickly and effectively learn new programming techniques and data structures; capacity to seamlessly assimilate to new projects is required.
• Ability to comprehend analysis plans which may describe observational research and statistical programming methodology to be programmed needed.
• Strong oral, written and communication skills is required.
• Takes direction effectively and completes tasks at a project level.
• Ability to collaborate with key stakeholders in a global, cross-functional and multi-cultural setting.
• Self-motivation and passion for learning is necessary, self-initiation, takes responsibility for work and ability to meet deadlines are required.
• Excellent organization skills with strong attention to detail, clarity, accuracy, and conciseness.
• Ability to plan, organize, and work on multiple tasks simultaneously in different therapeutic areas is required.
Additional skills (is a Plus):
• R or Python Big Data certification and experience with distributed computing environments such as Hadoop or cloud is a definite plus.
• Experience working with state-of-art RWE analytics tools such as Instant Health Data and Aetion.
• Experience with sampling strategies for large healthcare databases.
• Experience with other statistical software and visualization tools such as R, Python, RShiny, Spotfire, Tablaeu or Qlikview.
• Experience with Ex-US healthcare databases is a plus.
Note: Please allow me to reiterate that I chose to contact you either because your resume had been posted to one of the internet job sites to which we subscribe, or you had previously submitted your resume to Axelon. I assumed that you are either looking for a new employment opportunity, or you are interested in investigating the current job market.
If you are not currently seeking employment, or if you would prefer I contact you at some later date, please indicate your date of availability so that I may honor your request. In any event, I respectfully recommend you continue to avail yourself to the employment options and job market information we provide with our e-mail notices.
Thank you,
Gowtham Yogananda
Recruiter
Axelon Services Corporation
44 Wall Street 18th Floor
New York, NY 10005
Phone: (212) 696-3432
Fax : (212) 306-0191
gowtham.Yogananda@axelon.com
For more job opportunities: www.axelon.com
Dear Ronald,
My name is Gowtham and I'm a recruiter at Axelon Services Corporation. We have your resume on file and I thought you may be interested in an opportunity we currently have available for a Statistical Programmer/Analyst with a major company located in Parsippany, NJ. Please review the job description below.
If you are qualified and interested in pursuing this opportunity, please call me at (212) 696-3432 ASAP. You may also send me an e-mail, if you do respond via e-mail please include a daytime phone number so I can reach you. In considering candidates, time is of the essence, so please respond ASAP.
If you do not feel like you are a good fit, but you know someone who may be looking for position like this, please feel free to forward this email onto them. I also encourage you to visit our website at www.axelon.com for all of our job openings.
RWE Statistical Programmer/Analyst
Location: Remote or West Chester, PA or Parsippany, NJ
Term: Contractor (annual renewal)
SUMMARY
This position will primarily support strategic product value generation initiatives at Client R&D through statistical programming and analytics for Observational and Real World Evidence using large health care administrative databases, electronic medical records, and registries. The incumbent will utilize SAS or R, web-based analytics tools and other programming languages to efficiently work with very large real world databases, to identify and Client target patient populations, disease prevalence and risk factors, describe drug utilization, treatment patterns and disease progression, and other exploratory questions. In this role, the RWE Analyst will work closely within a cross-functional team to execute and deliver on projects in an accurate, effective and timely manner.
RESPONSIBILITIES:
• Provide statistical programming support for assigned projects, focusing on real world data analyses from large databases (e.g., Electronic Health Records, medical claims, registries etc.).
• Efficiently manipulate large databases including complex data preprocessing, filtering and manipulation.
• Assist in development of detailed protocols and SAP according to study objectives. Create table and dataset specifications, in collaboration with statisticians and study leads.
• Prepare appropriate datasets by defining patient or disease cohorts, establishing study samples, and structuring data according to research objectives and study design.
• Perform statistical analysis, generate analytic reports, tables, graphics, and slides, and communicate project findings to cross functional teams, or stakeholders.
• In addition to hands-on SAS or R programming, leverage available web-based RWE analytical tools.
• Familiar with cloud and high-performance computing environments (Azure, AWS)
• Provide technical expertise to implement programming and methodology for complex RWE studies.
• Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.
• Assist in creation and implementation of validation activities for RWE studies following departmental SOPs.
• Ensure quality and timely deliverables for all assigned studies/projects.
• Interface with the IT department to maintain and develop cloud computing capacity and analytic tools for RWE studies.
• Collaborate effectively in a matrix and cross-functional environment with programmers, statisticians, epidemiologists, outcomes research scientists and other stakeholders across global R&D such as Medical Affairs, Health Economics and Outcomes Research (HEOR), Clinical Development, Pharmacovigilance and Regulatory Affairs.
• Ensure professional development to enhance knowledge, skills, communication, scientific methodology, operational efficiency, and compliance with policies, regulations, and corporate standards and processes.
QUALIFICATIONS:
Required Skills
• An advanced educational degree (MA/MS, PhD, ScD, PharmD, etc.) in a quantitative science such as statistics, biometrics, epidemiology, econometrics, psychometrics, operations research, engineering, computer science, data/life science, etc.
• A minimum of 5 years hands-on professional R or SAS programming experience
• A minimum of 2 years hands-on work experience with real world studies using large claims/EMR databases in HEOR or related functions.
• Demonstrated experience and knowledge working with Truven/IBM Marketscan data and similar healthcare databases.
• Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings).
• Experience working with medical and billing coding systems such as ICD-9, ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
• Understanding of observational research or statistical terminology and concepts is essential.
• Ability to quickly and effectively learn new programming techniques and data structures; capacity to seamlessly assimilate to new projects is required.
• Ability to comprehend analysis plans which may describe observational research and statistical programming methodology to be programmed needed.
• Strong oral, written and communication skills is required.
• Takes direction effectively and completes tasks at a project level.
• Ability to collaborate with key stakeholders in a global, cross-functional and multi-cultural setting.
• Self-motivation and passion for learning is necessary, self-initiation, takes responsibility for work and ability to meet deadlines are required.
• Excellent organization skills with strong attention to detail, clarity, accuracy, and conciseness.
• Ability to plan, organize, and work on multiple tasks simultaneously in different therapeutic areas is required.
Additional skills (is a Plus):
• R or Python Big Data certification and experience with distributed computing environments such as Hadoop or cloud is a definite plus.
• Experience working with state-of-art RWE analytics tools such as Instant Health Data and Aetion.
• Experience with sampling strategies for large healthcare databases.
• Experience with other statistical software and visualization tools such as R, Python, RShiny, Spotfire, Tablaeu or Qlikview.
• Experience with Ex-US healthcare databases is a plus.
Note: Please allow me to reiterate that I chose to contact you either because your resume had been posted to one of the internet job sites to which we subscribe, or you had previously submitted your resume to Axelon. I assumed that you are either looking for a new employment opportunity, or you are interested in investigating the current job market.
If you are not currently seeking employment, or if you would prefer I contact you at some later date, please indicate your date of availability so that I may honor your request. In any event, I respectfully recommend you continue to avail yourself to the employment options and job market information we provide with our e-mail notices.
Thank you,
Gowtham Yogananda
Recruiter
Axelon Services Corporation
44 Wall Street 18th Floor
New York, NY 10005
Phone: (212) 696-3432
Fax : (212) 306-0191
gowtham.Yogananda@axelon.com
For more job opportunities: www.axelon.com
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