Manager, RWE Programming/ R Development

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use

for each heading only if there is real content. Must not repeat job title. Must not include Job ID etc. Remove boilerplate like EEO, etc. Must preserve all substantive info. We need to parse the posting. Content: - Intro paragraph about Daiichi Sankyo: "At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society." That could be "About the role"? Actually "About the role" is more about the job, but we have a job summary: "Job Summary The purpose of this job is to provide statistical/data science programming as well as technical support for Daiichi Sankyo's RWE projects to improve Daiichi Sankyo programming and computing efficiency by evaluating tools and software in the use of real-world data (RWD)." Thus we can have About the role: maybe combine intro and job summary? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can create sections for those headings if content exists. We have: - About the role: could include the company description and job summary. That seems appropriate. - Responsibilities: list bullet points from "Responsibilities Provide programming support for RWE project or study to deliver the TLFs on time and support ad-hoc requests.Develop and maintain necessary programming macros or tools to effectively support all programming needs.Responsibilities include: identify the macros or tools that will facilitate programing efficiency, support the macro or tool development, and support the macro or tool implementation and maintenance.Evaluate, assess and enhance DSI computing environment system with some supervision.Responsibilities include: assess DSI new computing environment system for programming and analysis efficiency, identify system bug/issue and lead the activity to enhance the system, develop system training materials and work as the SME to support implementation, evaluate, request and approve system upgrades, and propose/develop system utilities.Provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE.Demonstrate high level proficiency for Machine Learning (ML) and Artificial Intelligence (AI) technology, align with future roadmap, network with other business area/analytics group to promote efficiency in the use of AI/ML." We need to break into bullet list items. - Qualifications: includes Education Qualifications and Experience Qualifications. Could be combined under Qualifications heading. - Skills: maybe we can extract skills like SAS, R, Python, SQL, statistical concepts, etc. Could be separate Skills section. - Benefits: not mentioned. - Pay: Salary Range given: USD$140,400.00 - USD$210,600.00. So we can have Pay section. - Schedule: not mentioned. Thus we will output sections: About the role, Responsibilities, Qualifications, Skills, Pay. We must not include empty sections. We need to use

• for any list of duties/requirements/benefits. For Qualifications, we could list education and experience as list items? Might be better to use

  for prose and

  for list items. We need to preserve all substantive info; do not invent or summarize away detail. Let's extract details precisely. About the role: combine company description and job summary. Company description: "At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society." Job Summary: "The purpose of this job is to provide statistical/data science programming as well as technical support for Daiichi Sankyo's RWE projects to improve Daiichi Sankyo programming and computing efficiency by evaluating tools and software in the use of real-world data (RWD)." We can combine into a paragraph. Responsibilities: need to break into bullet points. Let's parse responsibilities text: "Provide programming support for RWE project or study to deliver the TLFs on time and support ad-hoc requests." "Develop and maintain necessary programming macros or tools to effectively support all programming needs." "Responsibilities include: identify the macros or tools that will facilitate programing efficiency, support the macro or tool development, and support the macro or tool implementation and maintenance." "Evaluate, assess and enhance DSI computing environment system with some supervision." "Responsibilities include: assess DSI new computing environment system for programming and analysis efficiency, identify system bug/issue and lead the activity to enhance the system, develop system training materials and work as the SME to support implementation, evaluate, request and approve system upgrades, and propose/develop system utilities." "Provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE." "Demonstrate high level proficiency for Machine Learning (ML) and Artificial Intelligence (AI) technology, align with future roadmap, network with other business area/analytics group to promote efficiency in the use of AI/ML." We can make each bullet a distinct responsibility. Qualifications: Education Qualifications: "Bachelor's Degree from an accredited institution in science or in a technical field preferred Master's Degree preferred" Experience Qualifications: "7 or More Years with a Bachelor's Degree or Master’s degree with minimum of 4 years proven experience within pharmaceutical industry, or CROs supporting statistical programming preferred 4 or More Years Previous experience supporting macro and/or system utility development is highly preferred preferred Advanced working knowledge of statistical or script programming language such as SAS, R, Python,SQL preferred Understanding of statistical concepts in support of analyses preferred Experience in using the RWD including retrospective database, registries, EMR and claims preferred Knowledge in the secondary database structures or external control arms preferred Experience in statistical modelling (time to event analysis), causal inference methods (Mixed Models for Repeated Measures, Cox proportional hazard model, propensity scoring techniques, comparative effectiveness analysis, etc.) is preferred preferred" There's some duplication and weird formatting. We need to preserve all substantive info, not invent or summarize away detail. But we can list them as bullet points, preserving the content. We need to be careful not to repeat "preferred" excessively but it's part of the text. We'll keep as is. Skills: Could extract specific technical skills: SAS, R, Python, SQL, statistical concepts, machine learning, AI, etc. But we already have them in qualifications. Perhaps we can create a Skills section listing: SAS, R, Python, SQL, statistical concepts, machine learning (ML), artificial intelligence (AI), etc. However we must not invent or summarize away detail; we can list them as they appear. But the instruction: "Use
  • for any list of duties/requirements/benefits". So for skills we can also use list. We need to decide: Should we put skills under Qualifications or separate Skills section? The heading list includes Skills as possible. Since we have explicit skill mentions, we can create a Skills section. We must not create sections with filler like "not specified". So we will only create Skills if we have specific content. We have: "Advanced working knowledge of statistical or script programming language such as SAS, R, Python,SQL preferred", "Understanding of statistical concepts in support of analyses preferred", "Demonstrate high level proficiency for Machine Learning (ML) and Artificial Intelligence (AI) technology". So we can list those. Pay: Salary Range USD$140,400.00 - USD$210,600.00. We'll output as

    maybe. Now we need to output only HTML fragment, no /, no markdown fences. Let's craft:

    About the role

    At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. The purpose of this job is to provide statistical/data science programming as well as technical support for Daiichi Sankyo's RWE projects to improve Daiichi Sankyo programming and computing efficiency by evaluating tools and software in the use of real-world data (RWD).

    Responsibilities

    • Provide programming support for RWE project or study to deliver the TLFs on time and support ad-hoc requests.
    • Develop and maintain necessary programming macros or tools to effectively support all programming needs.
    • Identify the macros or tools that will facilitate programming efficiency, support the macro or tool development, and support the macro or tool implementation and maintenance.
    • Evaluate, assess and enhance DSI computing environment system with some supervision.
    • Assess DSI new computing environment system for programming and analysis efficiency, identify system bug/issue and lead the activity to enhance the system, develop system training materials and work as the SME to support implementation, evaluate, request and approve system upgrades, and propose/develop system utilities.
    • Provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE.
    • Demonstrate high level proficiency for Machine Learning (ML) and Artificial Intelligence (AI) technology, align with future roadmap, network with other business area/analytics group to promote efficiency in the use of AI/ML.

    Qualifications

    • Bachelor's Degree from an accredited institution in science or in a technical field preferred; Master's Degree preferred.
    • 7 or more years with a Bachelor's Degree or Master’s degree with minimum of 4 years proven experience within pharmaceutical industry, or CROs supporting statistical programming preferred.
    • 4 or more years previous experience supporting macro and/or system utility development is highly preferred.
    • Advanced working knowledge of statistical or script programming language such as SAS, R, Python, SQL preferred.
    • Understanding of statistical concepts in support of analyses preferred.
    • Experience in using the RWD including retrospective database, registries, EMR and claims preferred.
    • Knowledge in the secondary database structures or external control arms preferred.
    • Experience in statistical modelling (time to event analysis), causal inference methods (Mixed Models for Repeated Measures, Cox proportional hazard model, propensity scoring techniques, comparative effectiveness analysis, etc.) is preferred.

    Skills

    • SAS
    • R
    • Python
    • SQL
    • Statistical concepts
    • Machine Learning (ML)
    • Artificial Intelligence (AI)

    Pay

    Salary Range: USD$140,400.0