Senior Quantitative Biomarker Scientist

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Remove boilerplate like EEO, legal, application instructions, etc. Must preserve all substantive info. We need to parse the posting. Key content: - Intro paragraph about Regeneron, Precision Medicine team, etc. That's about the role. - "We are looking for a motivated individual who can conduct clinical trial data management and data analysis in an open and collaborative working environment. This role will encompass exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. This position is also involved in the development of tools and dashboards for processing, analyzing, querying, visualizing, and cleaning data." - "When & Where Work Location: Tarrytown, NY or Armonk, NY Work model/flexibility: : 4 days per week on site" - Then "Discover Your Role" bullet list (actually sentences) describing responsibilities: - Liaise with Precision Medicine Quantitative Translational Sciences to analyze biomarker data types across a range of Precision Medicine and biomarker studies. - Provide computational and technical expertise on data cleaning and data visualization. - Integrate complex datasets to perform statistical analysis on exploratory biomarker data and clinical endpoints. - Use technical tools, language, or custom coding and systems analysis to clean data and select or create datasets for analysis. - Understand and follow data quality concepts and best practices and tools. Identify data anomalies and work with data stewards in other units to perform root cause analysis on data quality issues. - Assist in the preparation of scientific presentations, manuscripts, and reports, including the preparation of quality checked tables and graphs depicting research results. - Effectively communicate analytical plans and timelines for multiple concurrent projects with study team members. - Develop, benchmark, and implement new computational workflows as necessary - Maintain best coding and data cataloguing practices for business consistency and scientific reproducibility. - Then "This Role Requires PhD, or Masters with minimum 2 years of relevant work experience in one of the following or otherwise related quantitative fields: Computer Science, Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Data Analytics, Statistics, Biostatistics, Mathematics, Applied Mathematics, Physics, Chemistry." - Then bullet list of experience: experience with statistical modeling/regression, machine learning, and other relevant data blending abilities. Experience in at least one of the following scripting languages: R, Python, MATLAB. Other languages such as SQL, Spark, and C++ are a bonus. Experience working in a Linux and/or cloud, shell scripting, and notebook environment. Knowledge of structured data, with the ability to perform data mapping for systems integration, data provisioning, and data consumption (strongly preferred). Working knowledge of clinical trials (strongly preferred.) - Then "#PMQBS Does this sound like you? Apply now..." (application instruction, remove) - Then EEO boilerplate (remove) - Then "Where required, we will provide reasonable accommodation..." (EEO/legal, remove) - Then "Where necessary, we disclose salary ranges for roles in all countries..." (benefits info maybe). Then "Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits." That's benefits. - Then link for US benefits (maybe keep as part of benefits? It's a link but could be considered boilerplate? Might be okay to keep as part of benefits but it's a link; but we can keep as part of benefits description.) - Then "For other locations, additional information will be provided during the recruitment process." (maybe keep as part of benefits? It's generic.) - Then "If you have any questions, please speak with your recruiter." (application instruction, remove) - Then "Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location." (maybe schedule? It's about onsite expectations; but we already have schedule info: 4 days per week on site. Could include schedule section.) - Then "As part of the recruitment process, certain background checks may be conducted..." (legal, remove) - Then "For jobs in Canada: this posting is for an existing position. Salary Range (annually) $109,900.00 - $179,300.00" (Pay info). So we have pay range. Thus we have sections: - About the role: intro paragraph(s) describing Regeneron, Precision Medicine team, PMQTS, etc. - Responsibilities: the bullet list under "Discover Your Role". - Requirements: maybe the "This Role Requires PhD, or Masters..." plus the experience bullet list? Actually requirements could be education and experience. Qualifications could be the same? But we need to follow headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what goes where. We have education requirement (PhD or Masters with 2 years experience). That's a requirement. We have experience with statistical modeling/regression, machine learning, data blending abilities. That's skills. We have experience with scripting languages R, Python, MATLAB; bonus SQL, Spark, C++. That's skills. We have experience working in Linux/cloud, shell scripting, notebook environment. That's skills. We have knowledge of structured data, data mapping, etc. That's skills. We have working knowledge of clinical trials (strongly preferred). That's skills/qualifications. We could treat "Requirements" as education + minimum experience. "Qualifications" as preferred qualifications (like clinical trials knowledge). "Skills" as technical skills (programming, stats, ML, data tools). But we need to avoid duplication. Let's extract: Education/Experience requirement: PhD, or Masters with minimum 2 years of relevant work experience in one of the listed quantitative fields. That's a requirement. Preferred qualifications: working knowledge of clinical trials (strongly preferred). Also knowledge of structured data, data mapping (strongly preferred). Actually those are also "strongly preferred". Could be qualifications. Skills: statistical modeling/regression, machine learning, data blending abilities; scripting languages R, Python, MATLAB (bonus SQL, Spark, C++); Linux/cloud, shell scripting, notebook environment; data mapping, systems integration, data provisioning, data consumption; data cleaning and visualization; exploratory analysis; develop tools/dashboards; etc. But many of those are also responsibilities. We need to avoid repeating content. However instructions: Preserve ALL substantive information; do NOT invent or summarize away detail. So we need to keep all info, but we can organize into sections without duplication? The instruction says "Prefer a few substantive sections over many thin ones." It doesn't forbid duplication across sections? It says preserve ALL substantive information; do NOT invent or summarize away detail. It doesn't explicitly forbid repeating info, but typical approach is to not repeat. However we could place each piece under the most appropriate heading, ensuring all info appears somewhere. Let's map: About the role: The introductory paragraphs describing Regeneron, Precision Medicine team, PMQTS, role focus. Responsibilities: The list under "Discover Your Role" (liaise, provide expertise, integrate datasets, use tools, follow data quality concepts, assist in preparation of presentations, communicate analytical plans, develop workflows, maintain best coding practices). Also maybe the part about "This role will encompass exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. This position is also involved in the development of tools and dashboards for processing, analyzing, querying, visualizing, and cleaning data." That could be responsibilities as well. Requirements: PhD or Masters with minimum 2 years relevant work experience in listed fields. Qualifications: Working knowledge of clinical trials (strongly preferred); knowledge of structured data, data mapping for systems integration, data provisioning, data consumption (strongly preferred). Also maybe "experience working in a Linux and/or cloud, shell scripting, and notebook environment" could be qualification but it's more skill. Skills: Experience with statistical modeling/regression, machine learning, data blending abilities; experience with scripting languages R, Python, MATLAB (bonus SQL, Spark, C++); experience with Linux/cloud, shell scripting, notebook environment; knowledge of structured data, data mapping (maybe already in qualifications). But we can keep. Benefits: The total rewards package description: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (medical, dental, vision, life and disability), paid time off, family support benefits. Also link to US benefits page (maybe keep as part of benefits). Also "For other locations, additional information will be provided during the recruitment process." Could be included. Pay: Salary range (annually) $109,900.00 - $179,300.00 (for Canada jobs). Also maybe mention that final offer determined within relevant range based on country, role level, skills/experience. That's also pay info. Schedule: Work Location: Tarrytown, NY or Armonk, NY; Work model/flexibility: 4 days per week on site. Also note "Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite." Could be schedule. Now we need to output HTML with

headings for each section used, and

• for any list of duties/requirements/benefits, and

  for prose. We must not include job title heading. Must not include Job ID/requisition numbers. We must remove boilerplate: EEO, legal, application instructions, etc. We must not create sections with filler like "commensurate with experience". We have actual content. Now craft HTML. We'll have sections:

  About the role

  Regeneron is advancing its pipeline portfolio using a data-driven human translational approach. As part of this initiative, the Precision Medicine team is integrated with Discovery Research and Clinical Development teams to promote early adoption of biomarker strategy to guide clinical translation. The team collaborates with Clinical Sciences colleagues to develop the clinical experimental sciences (CES) studies for generating clinically testable, mechanistic hypotheses for each molecule, including developing scientific rationale for initial and new indications for PoC. Precision Medicine leads the biomarker strategy and execution, to achieve proof of mechanism/concept in early clinical trials. The team also implements Precision Medicine strategies, including patient stratification and selection, to support late-stage clinical programs and companion diagnostics. This is a statistical computational role that falls within Precision Medicine Quantitative Translational Sciences (PMQTS), the analytical arm of Precision Medicine. We are looking for a motivated individual who can conduct clinical trial data management and data analysis in an open and collaborative working environment. This role will encompass exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. This position is also involved in the development of tools and dashboards for processing, analyzing, querying, visualizing, and cleaning data.

  Responsibilities

  • Liaise with Precision Medicine Quantitative Translational Sciences to analyze biomarker data types across a range of Precision Medicine and biomarker studies.
  • Provide computational and technical expertise on data cleaning and data visualization.
  • Integrate complex datasets to perform statistical analysis on exploratory biomarker data and clinical endpoints.
  • Use technical tools, language, or custom coding and systems analysis to clean data and select or create datasets for analysis.
  • Understand and follow data quality concepts and best practices and tools; identify data anomalies and