Junior, Assistant, Associate or Full Specialist- Singh Lab

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info, no invention. Remove boilerplate (EEO, etc). Must not include application instructions? The instruction says remove application instructions. So we should not include "Please apply on AP Recruit , with a CV, and two references." etc. Also remove "Document Requirements", "Reference Requirements", etc? Those are application instructions; we should drop them. Also drop "As a University employee..." etc. Also drop EEO statements. Also drop "See Table 24B for the salary range for this position." but we have salary estimate: "A reasonable estimate for this position is $57,000-$201,700." That is pay info, so we can include Pay section with that range. Also we have no explicit Benefits or Schedule info. So we should not create those sections unless present. There's no explicit benefits or schedule. So we omit Benefits and Schedule sections. We need sections: About the role (maybe from description), Responsibilities (maybe from "The candidate will work on interdisciplinary projects..."), Requirements (maybe required qualifications), Qualifications (maybe preferred qualifications?), Skills (maybe from required qualifications like organizational skills etc). We need to decide mapping. We must not invent content. Use headings exactly as given:

About the role

, etc. We need to include

• for any list of duties/requirements/benefits. Use

  for prose. We need to preserve all substantive information. Let's extract substantive content: - Position Description: Junior, Assistant, Associate or Full Specialist- Singh Lab Department of Anatomy University of California, San Francisco - The Singh Lab at UCSF is seeking a highly motivated Specialist to join our research program at the intersection of aging biology, genomics, and machine learning (AI/ML). Our lab is tackling the fundamental questions in the field of aging using a multi-disciplinary approach. We generate and integrate cutting-edge single-cell RNA sequencing (scRNA-seq) and other multi-omics datasets with advanced machine learning techniques to decipher the intricate genomic changes that drive aging and age-related diseases. We primarily use the African killifish as our model system. By comparing genomic patterns across species, we aim to identify conserved processes that underlie aging and develop innovative strategies to promote healthy lifespan. We are looking for creative and passionate individuals with either computational (genomics, bioinformatics, AI/ML) or experimental biology (molecular biology, developmental biology) expertise who want to discover innovative ways to combat aging and age-related diseases. The candidate will work on interdisciplinary projects including AI/ML, high-throughput and single-cell multi-omics, CRISPR-Cas9-based genome editing, and molecular and developmental biology techniques. - Required Qualifications: list for each level (Junior, Assistant, Associate, Full). Also "Excellent organizational and interpersonal communication skills (verbal and written) Willingness and ability to learn new methods and skills for changing research priorities. Ability to work independently and as a member of a research team. Ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines Applicants must meet the required qualifications at the time of appointment. Candidate’s CV must state qualifications or if pending upon submission." - Preferred Qualifications: list of items. - Pay: "A reasonable estimate for this position is $57,000-$201,700." - No explicit Benefits or Schedule. We need to avoid duplication. Also avoid "See Table 24B for the salary range for this position." but we have the estimate. We need to not include application instructions: "Please apply on AP Recruit , with a CV, and two references." etc. Also "Document Requirements", "Reference Requirements", etc. Also the EEO statements etc. Thus final HTML will have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Pay. We need to decide what goes where. About the role: description of lab, mission, model system, what they seek. Responsibilities: The candidate will work on interdisciplinary projects including AI/ML, high-throughput and single-cell multi-omics, CRISPR-Cas9-based genome editing, and molecular and developmental biology techniques. Requirements: maybe the required qualifications per level? Could be a list. Qualifications: maybe preferred qualifications? Or we could treat required as Requirements and preferred as Qualifications. Skills: maybe the organizational/communication etc. Pay: salary range. We must not invent. Use

  • for lists. Let's craft. About the role: prose paragraph(s). Could be multiple

    but we can combine. Responsibilities: list of duties. Requirements: list of required qualifications per level (Junior, Assistant, Associate, Full) plus maybe the general skills? But we already have Skills section for those. Qualifications: list of preferred qualifications. Skills: list of excellent organizational and interpersonal communication skills etc. Pay: paragraph with salary range. Check for duplication: Ensure we don't repeat same content. Let's extract required qualifications bullet points: - Junior Specialist- A bachelor’s degree (or equivalent degree) in bioinformatics, experimental biology, engineering or related disciplines or at least four years of research experience. - Assistant Specialist- A master’s degree (or equivalent degree) or a bachelor’s degree in bioinformatics, experimental biology, engineering or related disciplines with three or more years of research experience. - Associate Specialist- A master’s degree (or equivalent degree) in bioinformatics, experimental biology, engineering or related disciplines or five to ten years of relevant experience. - Full Specialist- A doctoral degree (or equivalent degree) in bioinformatics, experimental biology, engineering or related disciplines or ten or more years of relevant experience. Also "Applicants must meet the required qualifications at the time of appointment. Candidate’s CV must state qualifications or if pending upon submission." That's more procedural; maybe we can include as a note in Requirements. Skills: "Excellent organizational and interpersonal communication skills (verbal and written) Willingness and ability to learn new methods and skills for changing research priorities. Ability to work independently and as a member of a research team. Ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines" Preferred qualifications list: - Proven experience analyzing scRNA-seq, scATAC-seq, spatial-RNA-seq or other genomic data. - Proven experience expertise in AI/ML applied to genomic data. - Proficiency in R, Python and relevant libraries for machine learning (e.g., scikit-learn, TensorFlow, PyTorch). - Experience with molecular or developmental biology techniques, including molecular cloning, working with DNA, protein (IHC and Western blotting), RNA extraction, qPCR/qRT-PCR analysis, confocal imaging etc. - Gene editing using CRISPR-Cas9, guide design, microinjection, - Experience or desire to learn next-generation genomics library preparation such as 10x-genomics and RNA/ATAC/ChIP-seq, metabolomics etc. We need to keep the content exactly, not invent. Now produce HTML. We'll wrap each section in

    then content. For lists, use

    • ...

    . For prose, use

    . Let's craft. About the role: maybe two paragraphs: first about lab mission, second about what they seek. We'll output:

    About the role

    The Singh Lab at UCSF is seeking a highly motivated Specialist to join our research program at the intersection of aging biology, genomics, and machine learning (AI/ML). Our lab is tackling the fundamental questions in the field of aging using a multi-disciplinary approach. We generate and integrate cutting-edge single-cell RNA sequencing (scRNA-seq) and other multi-omics datasets with advanced machine learning techniques to decipher the intricate genomic changes that drive aging and age-related diseases. We primarily use the African killifish as our model system. By comparing genomic patterns across species, we aim to identify conserved processes that underlie aging and develop innovative strategies to promote healthy lifespan.

    We are looking for creative and passionate individuals with either computational (genomics, bioinformatics, AI/ML) or experimental biology (molecular biology, developmental biology) expertise who want to discover innovative ways to combat aging and age-related diseases.

    Responsibilities:

    Responsibilities

    • Work on interdisciplinary projects including AI/ML, high-throughput and single-cell multi-omics, CRISPR-Cas9-based genome editing, and molecular and developmental biology techniques.
    Requirements:

    Requirements

    • Junior Specialist – A bachelor’s degree (or equivalent degree) in bioinformatics, experimental biology, engineering or related disciplines or at least four years of research experience.
    • Assistant Specialist – A master’s degree (or equivalent degree) or a bachelor’s degree in bioinformatics, experimental biology, engineering or related disciplines with three or more years of research experience.
    • Associate Specialist – A master’s degree (or equivalent degree) in bioinformatics, experimental biology, engineering or related disciplines or five to ten years of relevant experience.
    • Full Specialist – A doctoral degree (or equivalent degree) in bioinformatics, experimental biology, engineering or related disciplines or ten or more years of relevant experience.
    • Applicants must meet the required qualifications at the time of appointment; CV must state qualifications or indicate if pending.
    Qualifications (Preferred):

    Qualifications

    • Proven experience analyzing scRNA-seq, scATAC-seq, spatial-RNA-seq or other genomic data.
    • Proven experience expertise in AI/ML applied to genomic data.
    • Proficiency in R, Python and relevant libraries for machine learning (e.g., scikit-learn, TensorFlow, PyTorch).
    • Experience with molecular or developmental biology techniques, including molecular cloning, working with DNA, protein (IHC and Western blotting), RNA extraction, qPCR/qRT-PCR analysis, confocal imaging etc.
    • Gene editing using CRISPR-Cas9, guide design, microinjection.
    • Experience or desire to learn next-generation genomics library preparation such as 10x-genomics and RNA/ATAC/ChIP-seq, metabolomics etc.
    Skills:

    Skills

    • Excellent organizational and interpersonal communication skills (verbal and written)
    • Willingness and ability to learn new methods and skills for changing research priorities
    • Ability to work independently and as a member of a research team
    • Ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines
    Pay:

    Pay

    A reasonable estimate for this position is $57,000‑$201,700.

    We must ensure no extra sections like Benefits or Schedule. Check for any leftover boilerplate: we removed EEO etc. Check for duplication: we didn't repeat job title. Check for any content we missed: The line "Please apply on AP Recruit , with a CV, and two references." removed. Also "Document Requirements", "Reference Requirements". Also "As a University employee..." etc. Good. Check for any mention of "See Table 24B for the salary range for this position." we omitted but we included pay estimate. That's fine. Check for any mention of "The candidate will work on interdisciplinary projects including AI/ML, high-throughput and single-cell multi-omics, CRISPR-Cas9-based genome editing, and molecular and developmental biology techniques." we used that as responsibility. Check for any mention of "We are looking for creative and passionate individuals with either computational (genomics, bioinformatics, AI/ML) or experimental biology (molecular biology, developmental biology) expertise who want to discover innovative ways to combat aging and age-related diseases." we included in About the role. Check for any mention of "Our lab is tackling the fundamental questions in the field of aging using a multi-disciplinary approach." included. Check for