Senior Scientist, Antibody Generation & Automation

We need to output HTML fragment with sections: About the role? The description includes "Job Description" then paragraphs. We need headings for sections present: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections with real specific content. Let's parse. Job Description: "We are recruiting a Senior Scientist to support antibody generation and automation in our Molecular Discovery group located in South San Francisco." That's about the role. Could be About the role. Key Responsibilities: list of duties. So Responsibilities section. Qualifications: Education: Bachelor's... etc. Also Required Experience And Skills, Preferred Experience And Skills, #EligibleforERP (maybe ignore). Also Required Skills list, Preferred Skills list. So we can have Qualifications (education) and Skills (required/preferred). Also maybe Requirements? The posting includes a "Requirements" heading later: "Requirements As an Equal Employment Opportunity Employer..." That's boilerplate EEO, we should remove. So we skip Requirements section. Benefits: "We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days." That's benefits. Pay: "The salary range for this role is $131,400.00 - $206,800.00". That's pay. Schedule: Not mentioned. No schedule info. So omit Schedule. Also there is "Relocation: Domestic/International VISA Sponsorship Yes Travel Requirements No Travel Required Flexible Work Arrangements Not Applicable Shift 1st - Day Valid Driving License No Hazardous Material(s) N/A Job Posting End Date 09/24/2026". That's metadata; we can fold minor metadata into a short

or drop it. Probably we can include a short paragraph with relevant info like relocation, visa sponsorship, travel, shift, posting end date. But instructions: "do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it." So we can include a

with that metadata (excluding job ID). We'll keep relocation, visa sponsorship, travel, shift, posting end date. We must not include boilerplate like EEO, accommodation, application instructions, etc. Also remove duplicated lines. We need to preserve all substantive information. Let's extract. About the role: "We are recruiting a Senior Scientist to support antibody generation and automation in our Molecular Discovery group located in South San Francisco." Responsibilities: list from "Key Responsibilities" bullet points. Need to convert to

• . Let's list each sentence. - Execute automated liquid handling processes to support routine lab workflows, including protein normalization, serial dilution, cherry picking, and NGS library preparation. - Use programming or scripting skills (e.g., Python, SQL, R) to support data processing, workflow automation, or instrument integration. - Optimize, implement, and validate automated methods for high‑throughput antibody screening and characterization to assess binding and functional attributes. - Support the expansion of high‑throughput screening (HTS) platforms, assay design, and the evaluation and integration of novel technologies. - Perform general laboratory bioassay screening competently and independently, modifying and troubleshooting experimental design, methods, and instrumentation to meet evolving project needs. - Independently analyze and interpret experimental results, placing data in proper scientific context through review of relevant literature. - Perform cell culture of a variety types of cells to support characterization of antibodies and related biologics. - Document, summarize, and report data clearly and accurately, including preparation of presentations for team and project meetings. - Work on multiple projects in a fast‑paced, multidisciplinary team environment, collaborating effectively with cross‑functional partners. - Manage project priorities, timelines, and deliverables across multiple workstreams, ensuring clear alignment with project goals and stakeholder expectations. - Communicate project status, risks, next steps, automated assay development progress, troubleshooting outcomes, and key project data proactively through presentations and updates to project teams, automation working groups, group meetings, project leads, and cross-functional partners to support timely decision-making. - Adhere to good laboratory practices, maintain accurate records, and ensure compliance with relevant safety and quality standards. Qualifications: Education: Bachelor's (with 7+ years), Master’s (with 4+ years) or Ph.D. in a relevant biological science field and relevant experience. We could also include Required Experience And Skills as part of Qualifications or Skills. Since we have Skills section separate, we can put Required Experience And Skills under Skills (Required Skills). Preferred Experience And Skills under Preferred Skills. Let's extract Required Experience And Skills: - Proven experience with automated liquid handling platforms (e.g., Hamilton Microlab STAR) and robotic arms or similar automation technologies. - Capability to program, configure, and troubleshoot methods using liquid handler software to support automated workflow development and optimization. - Strong, hands‑on experience with assays, such as ELISA and flow cytometry/FACS. - Experience independently planning experiments, troubleshooting, and managing multiple concurrent laboratory tasks or projects. - Experience training laboratory users on the execution of automated methods. - Experience overseeing daily laboratory operations, including EHS compliance, best practices, and related operational systems. Preferred Experience And Skills: - Prior hands-on experience contributing to the evaluation, development, or implementation of innovative technologies that enable de novo antibody discovery workflows, such as microfluidics-based platforms, genetic or mRNA immunization approaches, single-cell screening, or other high-throughput discovery technologies. - Working knowledge of antibody discovery and characterization, protein engineering, and biologics modality design, with demonstrated ability to apply scientific understanding to support laboratory automation, assay development, and high-throughput discovery workflows. Also there is a list of Required Skills (keywords) and Preferred Skills (keywords). Those are like tags: Antibodies, Antibody Discovery, Automation, ELISA, Flow Cytometry, Laboratory Automation, Laboratory Robotics, Laboratory Techniques, Laboratory Technology, Liquid Handling, Robotic Liquid Handlers. Preferred Skills: Current Employees apply HERE etc not relevant. Actually after that there is "Current Employees apply HERE Current Contingent Workers apply HERE US And Puerto Rico Residents Only". That's application instruction, remove. We could combine Required Skills list as part of Skills section. But we already have Required Experience And Skills; we could also include the keyword list as part of Skills. To avoid duplication, we can include the keyword list as a
  under Skills. But we must not invent or summarize away detail. We need to preserve all substantive information. The keyword list is substantive; we should include it. Thus Skills section could have two subparts: Required Skills (list of keywords) and Preferred Skills (list of keywords). Or we could just have one Skills section with both required and preferred. Given instruction: Prefer a few substantive sections over many thin ones. So we can have Skills section containing both required and preferred skills as lists. Let's extract Required Skills list: "Antibodies, Antibody Discovery, Automation, Enzyme Linked Immunosorbent Assay (ELISA), Flow Cytometry, Laboratory Automation, Laboratory Robotics, Laboratory Techniques, Laboratory Technology, Liquid Handling, Robotic Liquid Handlers" Preferred Skills list: after "#EligibleforERP" there is "Required Skills Antibodies, Antibody Discovery, Automation, Enzyme Linked Immunosorbent Assay (ELISA), Flow Cytometry, Laboratory Automation, Laboratory Robotics, Laboratory Techniques, Laboratory Technology, Liquid Handling, Robotic Liquid Handlers Preferred Skills Current Employees apply HERE Current Contingent Workers apply HERE US And Puerto Rico Residents Only". Actually the text: "#EligibleforERP Required Skills Antibodies, Antibody Discovery, Automation, Enzyme Linked Immunosorbent Assay (ELISA), Flow Cytometry, Laboratory Automation, Laboratory Robotics, Laboratory Techniques, Laboratory Technology, Liquid Handling, Robotic Liquid Handlers Preferred Skills Current Employees apply HERE Current Contingent Workers apply HERE US And Puerto Rico Residents Only". So Preferred Skills seems to be just the phrase "Current Employees apply HERE Current Contingent Workers apply HERE US And Puerto Rico Residents Only" which is not skills but application instructions. So maybe the Preferred Skills list is missing; the earlier "Preferred Experience And Skills" is the preferred skills. So we can treat that as preferred skills. Thus Skills section: we can have Required Skills (the keyword list) and Preferred Skills (the Preferred Experience And Skills bullet points). Or we could combine. Given we already have Required Experience And Skills (detailed) and Preferred Experience And Skills (detailed). We could put those under Skills as sub-sections. But to keep sections few, we could have: - Responsibilities (ul) - Qualifications (education) - Skills (including required experience/skills and preferred experience/skills plus keyword list) - Benefits - Pay - Metadata paragraph (relocation, visa, travel, shift, posting end date) Let's craft. We must not repeat job title as heading. So no

  Senior Scientist. We'll output HTML fragment. Let's write:

  About the role

  We are recruiting a Senior Scientist to support antibody generation and automation in our Molecular Discovery group located in South San Francisco.

  Responsibilities

  • Execute automated liquid handling processes to support routine lab workflows, including protein normalization, serial dilution, cherry picking, and NGS library preparation.
  • Use programming or scripting skills (e.g., Python, SQL, R) to support data processing, workflow automation, or instrument integration.
  • Optimize, implement, and validate automated methods for high‑throughput antibody screening and characterization to assess binding and functional attributes.
  • Support the expansion of high‑throughput screening (HTS) platforms, assay design, and the evaluation and integration of novel technologies.
  • Perform general laboratory bioassay screening competently and independently, modifying and troubleshooting experimental design, methods, and instrumentation to meet evolving project needs.
  • Independently analyze and interpret experimental results, placing data in proper scientific context through review of relevant literature.
  • Perform cell culture of a variety types of cells to support characterization of antibodies and related biologics.
  • Document, summarize, and report data clearly and accurately, including preparation of presentations for team and project meetings.
  • Work on multiple projects in a fast‑paced, multidisciplinary team environment, collaborating effectively with cross‑functional partners.
  • Manage project priorities, timelines, and deliverables across multiple workstreams, ensuring clear alignment with project goals and stakeholder expectations.
  • Communicate project status, risks, next steps, automated assay development progress, troubleshooting outcomes, and key project data proactively through presentations and updates to project teams, automation working groups, group meetings, project leads, and cross-functional partners to support timely decision‑making.
  • Adhere to good laboratory practices, maintain accurate records, and ensure compliance with relevant safety and quality standards.

  Qualifications

  Education: Bachelor's (with 7+ years), Master’s (with 4+ years) or Ph.D. in a relevant biological science field and relevant experience.

  Skills

  Required Experience and Skills

  • Proven experience with automated liquid handling platforms (e.g., Hamilton Microlab STAR) and robotic arms or similar automation technologies.
  • Capability to program, configure, and troubleshoot methods using liquid handler software to support automated workflow development and optimization.
  • Strong, hands‑on experience with assays, such as ELISA and flow cytometry/FACS.
  • Experience independently planning experiments, troubleshooting, and managing multiple concurrent laboratory tasks or projects.
  • Experience training laboratory users on the execution of automated methods.
  • Experience overseeing daily laboratory operations, including EHS compliance, best practices, and related operational systems.

  Preferred Experience and Skills

  • Prior hands-on experience contributing to the evaluation, development, or implementation of innovative technologies that enable de novo antibody discovery workflows, such as microfluidics-based platforms, genetic or m