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Senior SQL/R/SAS Programmer - Epidemiology/ Real-World Evidence
Pharmaceutical Product Development (PPD)
Multi location:
Remote, Sweden
Remote, Denmark
Remote, Norway
Finland
Job Description
At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.
Location/Division Specific Information
Evidera has been providing epidemiology, data analytics, and outcomes research services to clients in the biopharmaceutical industry for over 19 years. The Real-World Evidence team supports pharmaceutical, biotechnology and medical device companies in the design and conduct of epidemiology studies throughout the product lifecycle, from early pre-launch planning to launch and post-marketing management. Our focus is on helping our clients identify evidence gaps and rapidly build epidemiologic and economic evidence to demonstrate effectiveness and safety and support the value of their products. Through analysis of large existing health databases (e.g., medical claims, electronic health records, registries, etc.), we provide key information such as:
- The incidence and prevalence of diseases and co-morbidities
- The identification and impact of risk factors on disease outcomes
- Burden of disease and identification of unmet needs
- Treatment patterns, drug utilization, medication adherence
- Comparative effectiveness
- Comparative safety
- Resource utilization
We use epidemiologic methods to build knowledge of the relationships between patient, drug, clinical and disease factors that significantly aids our clients and the patients they serve in understanding health conditions and navigating potential drug-event causal relationships as well as in building stronger evidence-based value messages.
This role offers 100% remote working flexibility.
Discover Impactful Work
The Senior SQL/R/SAS Programmer will be responsible for implementing a range of moderate to complex analyses in support of epidemiologic studies a variety of contracts. This individual will work independently to support the sponsor team on both prospective and retrospective studies, leveraging primary and secondary data sources or a combination thereof, as well as clinical trial data, and will be required to provide input in the planning and design phases of projects. Programming languages may include SAS (e.g., SAS Base, SAS Stat, SAS Macro), SQL, Python, PySpark or R, depending on the project. Candidates with experience working with data from Scandinavian registries and/or UK (e.g. CPRD, HES) will be prioritized. In addition, the Senior SQL/R/SAS Programmer may be involved in developing the ethics and data application to the relevant authorities in order to access the data; Swedish language fluency is considered an asset for this reason.
A day in the Life:- Independently creates, executes, maintains, and validates programs that transfer data across multiple data management systems or operating systems, combines data from a variety of sources and structures, generates and stores summary data from a variety of sources, generates reports or combines multiple databases and validates programs that generate listings, tables and figures using SAS, R, or other programming language as appropriate. Works closely with the statistician in execution of complex statistical analyses.
- Implements cohort selection, variable derivation, data management, and analyses, producing results using SAS, R, or another of the programming languages specified above, with little or no supervision.
- Conducts validation and review of programs developed by other programmers in the team.
- Independently handles client communication around cohort selection and variable definitions. Acts as main point of contact on client calls and present findings when requested.
- Provides critical review of budgeted hours for Data Analysts for project planning purposes.
- Reviews and assists in the review of protocol or statistical analyses plan and table shells, as well as the planning of the programming phase of the study.
- Conducts all programming work per RWE Good Programming Practices and QA/QC practices.
- Manages assignments to meet timelines and deliver high quality work, being familiar with any relevant contractual obligations or limits.
- Increases knowledge base and professional skills in areas including programming, technology and techniques, clinical trials, and the pharmaceutical industry.
- Provides general infrastructure support to the department, including presenting/teaching at department meetings, assisting in establishing training materials, and contributing to other general department documents or policies. Contributes to a library of programming code (e.g. SAS Macros) to increase programming efficiency.
- Provides training and guidance to junior team members. May have supervisory responsibilities.
- Develops the ethics and data applications for Scandinavian registry data access
Keys to Success:Education- MSc or PhD in Epidemiology, Health Economics, Biostatistics or related field
Experience- PhD with at least 3 years of relevant work experience; MSc with at least 5 years of relevant work experience
Knowledge, Skills, Abilities- Senior level expert in quantitative methods in health economics, health services research, epidemiology or statistics with the focus on data analysis using observational retrospective data, claims data, registry data, or clinical trial data using SAS (e.g., SAS Base, SAS Stat, SAS Macro), R, SQL, Python, or other programming language(s)
- Experience using data from Denmark, Norway, Sweden, Finland, or the UK required
- Experience working with large databases such as claims, EMR, registry data, clinical trial datasets, or similar are essential.
- Good knowledge of scientific research methods and practical knowledge of research implementation.
- Good knowledge of fundamentals of health economics and epidemiology.
- Advanced knowledge of relevant methodology and statistics.
- Advanced knowledge of one or more of the key programming packages noted above (SAS Base or Enterprise Guide, SAS macro; R, SQL, Python, or PySpark) and Microsoft Excel, Word, PowerPoint, Access and Outlook. Training will be provided for promising candidates without these additional experiences.
- Demonstrated ability to communicate and document information effectively in written English, including the ability to produce reports, documents, emails and other written pieces which are well-organized, free from errors, and are appropriately adjusted to the characteristics and needs of the audience.
- Swedish language fluency considered an asset.
- Strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.
- Able to quickly learn and apply new information, skills and procedures.
- Proactive and positive approach to tasks and projects, as well as resilience when encountering process, project, budget or client changes that are inherent in the consulting environment.
- Solid communication and interpersonal skills including the ability to quickly develop and sustain positive rapport with internal and external contacts in person, over the phone and by email.
- Experience presenting ideas to individuals and groups in a formal presentation setting
- Able to analyze complex issues and evidence, identify cause-effect relationships, and generate effective solutions
- Delivers a positive internal/external client experience; listens and understand the client's needs, and provides solutions that meet or exceed client expectations
- Demonstrates sound professional judgment in analyzing, responding to, and resolving enquiries, issues and escalations.
Benefits
- Independently creates, executes, maintains, and validates programs that transfer data across multiple data management systems or operating systems, combines data from a variety of sources and structures, generates and stores summary data from a variety of sources, generates reports or combines multiple databases and validates programs that generate listings, tables and figures using SAS, R, or other programming language as appropriate. Works closely with the statistician in execution of complex statistical analyses.
- Implements cohort selection, variable derivation, data management, and analyses, producing results using SAS, R, or another of the programming languages specified above, with little or no supervision.
- Conducts validation and review of programs developed by other programmers in the team.
- Independently handles client communication around cohort selection and variable definitions. Acts as main point of contact on client calls and present findings when requested.
- Provides critical review of budgeted hours for Data Analysts for project planning purposes.
- Reviews and assists in the review of protocol or statistical analyses plan and table shells, as well as the planning of the programming phase of the study.
- Conducts all programming work per RWE Good Programming Practices and QA/QC practices.
- Manages assignments to meet timelines and deliver high quality work, being familiar with any relevant contractual obligations or limits.
- Increases knowledge base and professional skills in areas including programming, technology and techniques, clinical trials, and the pharmaceutical industry.
- Provides general infrastructure support to the department, including presenting/teaching at department meetings, assisting in establishing training materials, and contributing to other general department documents or policies. Contributes to a library of programming code (e.g. SAS Macros) to increase programming efficiency.
- Provides training and guidance to junior team members. May have supervisory responsibilities.
- Develops the ethics and data applications for Scandinavian registry data access
Keys to Success:Education- MSc or PhD in Epidemiology, Health Economics, Biostatistics or related field
Experience- PhD with at least 3 years of relevant work experience; MSc with at least 5 years of relevant work experience
Knowledge, Skills, Abilities- Senior level expert in quantitative methods in health economics, health services research, epidemiology or statistics with the focus on data analysis using observational retrospective data, claims data, registry data, or clinical trial data using SAS (e.g., SAS Base, SAS Stat, SAS Macro), R, SQL, Python, or other programming language(s)
- Experience using data from Denmark, Norway, Sweden, Finland, or the UK required
- Experience working with large databases such as claims, EMR, registry data, clinical trial datasets, or similar are essential.
- Good knowledge of scientific research methods and practical knowledge of research implementation.
- Good knowledge of fundamentals of health economics and epidemiology.
- Advanced knowledge of relevant methodology and statistics.
- Advanced knowledge of one or more of the key programming packages noted above (SAS Base or Enterprise Guide, SAS macro; R, SQL, Python, or PySpark) and Microsoft Excel, Word, PowerPoint, Access and Outlook. Training will be provided for promising candidates without these additional experiences.
- Demonstrated ability to communicate and document information effectively in written English, including the ability to produce reports, documents, emails and other written pieces which are well-organized, free from errors, and are appropriately adjusted to the characteristics and needs of the audience.
- Swedish language fluency considered an asset.
- Strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.
- Able to quickly learn and apply new information, skills and procedures.
- Proactive and positive approach to tasks and projects, as well as resilience when encountering process, project, budget or client changes that are inherent in the consulting environment.
- Solid communication and interpersonal skills including the ability to quickly develop and sustain positive rapport with internal and external contacts in person, over the phone and by email.
- Experience presenting ideas to individuals and groups in a formal presentation setting
- Able to analyze complex issues and evidence, identify cause-effect relationships, and generate effective solutions
- Delivers a positive internal/external client experience; listens and understand the client's needs, and provides solutions that meet or exceed client expectations
- Demonstrates sound professional judgment in analyzing, responding to, and resolving enquiries, issues and escalations.
Benefits
Education- MSc or PhD in Epidemiology, Health Economics, Biostatistics or related field
Experience- PhD with at least 3 years of relevant work experience; MSc with at least 5 years of relevant work experience
Knowledge, Skills, Abilities- Senior level expert in quantitative methods in health economics, health services research, epidemiology or statistics with the focus on data analysis using observational retrospective data, claims data, registry data, or clinical trial data using SAS (e.g., SAS Base, SAS Stat, SAS Macro), R, SQL, Python, or other programming language(s)
- Experience using data from Denmark, Norway, Sweden, Finland, or the UK required
- Experience working with large databases such as claims, EMR, registry data, clinical trial datasets, or similar are essential.
- Good knowledge of scientific research methods and practical knowledge of research implementation.
- Good knowledge of fundamentals of health economics and epidemiology.
- Advanced knowledge of relevant methodology and statistics.
- Advanced knowledge of one or more of the key programming packages noted above (SAS Base or Enterprise Guide, SAS macro; R, SQL, Python, or PySpark) and Microsoft Excel, Word, PowerPoint, Access and Outlook. Training will be provided for promising candidates without these additional experiences.
- Demonstrated ability to communicate and document information effectively in written English, including the ability to produce reports, documents, emails and other written pieces which are well-organized, free from errors, and are appropriately adjusted to the characteristics and needs of the audience.
- Swedish language fluency considered an asset.
- Strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.
- Able to quickly learn and apply new information, skills and procedures.
- Proactive and positive approach to tasks and projects, as well as resilience when encountering process, project, budget or client changes that are inherent in the consulting environment.
- Solid communication and interpersonal skills including the ability to quickly develop and sustain positive rapport with internal and external contacts in person, over the phone and by email.
- Experience presenting ideas to individuals and groups in a formal presentation setting
- Able to analyze complex issues and evidence, identify cause-effect relationships, and generate effective solutions
- Delivers a positive internal/external client experience; listens and understand the client's needs, and provides solutions that meet or exceed client expectations
- Demonstrates sound professional judgment in analyzing, responding to, and resolving enquiries, issues and escalations.
Benefits
- PhD with at least 3 years of relevant work experience; MSc with at least 5 years of relevant work experience
Knowledge, Skills, Abilities- Senior level expert in quantitative methods in health economics, health services research, epidemiology or statistics with the focus on data analysis using observational retrospective data, claims data, registry data, or clinical trial data using SAS (e.g., SAS Base, SAS Stat, SAS Macro), R, SQL, Python, or other programming language(s)
- Experience using data from Denmark, Norway, Sweden, Finland, or the UK required
- Experience working with large databases such as claims, EMR, registry data, clinical trial datasets, or similar are essential.
- Good knowledge of scientific research methods and practical knowledge of research implementation.
- Good knowledge of fundamentals of health economics and epidemiology.
- Advanced knowledge of relevant methodology and statistics.
- Advanced knowledge of one or more of the key programming packages noted above (SAS Base or Enterprise Guide, SAS macro; R, SQL, Python, or PySpark) and Microsoft Excel, Word, PowerPoint, Access and Outlook. Training will be provided for promising candidates without these additional experiences.
- Demonstrated ability to communicate and document information effectively in written English, including the ability to produce reports, documents, emails and other written pieces which are well-organized, free from errors, and are appropriately adjusted to the characteristics and needs of the audience.
- Swedish language fluency considered an asset.
- Strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.
- Able to quickly learn and apply new information, skills and procedures.
- Proactive and positive approach to tasks and projects, as well as resilience when encountering process, project, budget or client changes that are inherent in the consulting environment.
- Solid communication and interpersonal skills including the ability to quickly develop and sustain positive rapport with internal and external contacts in person, over the phone and by email.
- Experience presenting ideas to individuals and groups in a formal presentation setting
- Able to analyze complex issues and evidence, identify cause-effect relationships, and generate effective solutions
- Delivers a positive internal/external client experience; listens and understand the client's needs, and provides solutions that meet or exceed client expectations
- Demonstrates sound professional judgment in analyzing, responding to, and resolving enquiries, issues and escalations.
Benefits
Benefits
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Accessibility/Disability Access
Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.
*This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.
Job posted: 2024-02-26
