Sr. Scientist, Antibody Discovery and Engineering

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. The posting includes "The Role" description (intro), then "Here’s What You’ll Do" (responsibilities), then "Here’s What You’ll Need (Basic Qualifications)" (requirements/qualifications/skills), then "Here’s What You’ll Bring to the Table (Preferred Qualifications)" (maybe also qualifications/skills), then "Our Working Model" (maybe schedule? It says 100% onsite, but schedule not given; but we can treat as schedule? The rule: only include Pay/Schedule/Benefits if posting actually states them. Pay & Benefits section includes salary range and benefits description. So we have Pay and Benefits. Schedule: not explicitly given besides "100% onsite" which is work model, not schedule hours. Probably not include Schedule. Benefits: we have description of benefits. Pay: salary range. We need headings:

for each section. Use

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

  for prose. We must not repeat job title as heading. No Job ID. Remove boilerplate like EEO, etc. Also remove "Our Working Model" maybe not a standard heading; but we could incorporate into Responsibilities? It's about work model, not a standard heading. Could omit as not required. We need to preserve all substantive information. So we need to extract responsibilities list, qualifications list, etc. Let's parse. Section: About the role (intro paragraph). Could be under

  About the role

  with paragraph. Responsibilities: "Here’s What You’ll Do" bullet-like sentences (each starts with a verb). We'll make
  • each. Requirements: "Here’s What You’ll Need (Basic Qualifications)" list of bullet-like sentences. We'll treat as Requirements. Qualifications: maybe combine Basic and Preferred? But we have separate sections: Basic Qualifications and Preferred Qualifications. Could put both under Requirements? Or separate: Requirements (basic) and Qualifications (preferred). The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have Requirements (basic) and Qualifications (preferred) and Skills maybe separate? But we can also put skills under Qualifications. However we have many skill statements in basic qualifications. Could treat them as Skills section. But we need to avoid thin sections. Perhaps combine basic qualifications into Requirements and preferred into Qualifications. Skills maybe not needed separately. But we have many skill statements: "Strong hands-on experience with yeast surface display..." etc. Those are requirements/qualifications. Could put them under Requirements. Preferred qualifications could be under Qualifications. Benefits: we have paragraph describing benefits. We'll put under Benefits. Pay: salary range under Pay. Schedule: not present; omit. Now we need to ensure we don't include filler like "commensurate with experience". Not present. We need to remove boilerplate: EEO, equal opportunity, etc. Also remove "Our Working Model" maybe not needed. Also remove "Moderna is a smoke-free..." etc. Also remove "About Moderna" etc. Also remove "Equal Opportunities" etc. Also remove "Accommodations We’re". Also remove any navigation etc. We must preserve all substantive information: that includes the description of role, responsibilities, basic qualifications, preferred qualifications, benefits, pay. Also maybe the "Our Working Model" (100% onsite) could be considered schedule? But schedule not given; but we could treat as "Work Model" but not a standard heading. Since instruction says only include sections when posting has real, specific content for it, and we have a schedule heading only if posting states schedule. It does not state schedule (hours). So we omit. Now craft HTML. We'll start with

    About the role

    ... intro paragraph ...

    Intro paragraph: "The Role Moderna is seeking a highly motivated Senior Scientist to join the Antibody Discovery team within Therapeutics Research. Therapeutics Research generates innovative therapeutic concepts and advances them from early scientific idea through First-in-Human studies. The Antibody Discovery team plays a central role in discovering, engineering, and optimizing antibody-based therapeutic molecules that enable new treatment strategies across Moderna's therapeutic pipeline. This Senior Scientist will be a hands-on scientific contributor focused on protein and antibody engineering, with particular emphasis on yeast display-based discovery and optimization. The role will contribute to antibody discovery programs across oncology and autoimmune disease, applying experimental protein engineering from library and construct design through selection, characterization, optimization, and lead identification. The successful candidate will bring strong expertise in antibody/protein engineering, molecular biology, yeast display, library design, and experimental characterization. This individual will work closely with protein design, computational biology, structural biology, antigen design, and project teams to translate design hypotheses and computational outputs into experimentally testable molecules and libraries, and to use experimental data to guide iterative design-build-test-learn cycles. This is a hands-on scientific role for someone who thrives in a fast-paced, innovative, and highly collaborative environment. The Senior Scientist will independently design and execute complex experiments, lead experimental workstreams within discovery programs, contribute to scientific strategy and problem solving, and help advance differentiated antibody-based therapeutics toward lead nomination." We'll put that as one paragraph. Now Responsibilities:

    Responsibilities

    • ... each bullet. List from "Here’s What You’ll Do": - Contribute to integrated antibody discovery and engineering campaigns, with primary responsibility for experimental protein and antibody engineering workstreams from design and library strategy through selection, characterization, optimization, and lead identification. - Design, build, and execute yeast surface display workflows for antibody discovery and engineering, including library design and construction, FACS-based selections, affinity maturation, specificity and cross-reactivity optimization, and multi-parameter lead enrichment. - Partner closely with computational protein design, bioinformatics, structural biology, and antigen design teams to translate in silico designs, sequence/structure hypotheses, and model predictions into experimentally testable constructs or libraries, and to use experimental results to inform subsequent design cycles. - Apply molecular biology and protein engineering approaches including cloning, mutagenesis, sequence analysis, construct design, format conversion, expression, and purification across IgG, Fab, scFv, VHH, bispecific/multispecific, T cell engager, TCR engager, CAR-related, and other therapeutic formats. - Characterize engineered candidates using biochemical, biophysical, display-based, and functional assays to assess binding, affinity, specificity, epitope diversity, expression, stability, developability, potency, and mechanism of action as appropriate. - Analyze yeast-display selection data, sequence and NGS datasets, and orthogonal characterization data to identify structure-function relationships, nominate follow-up variants, and support data-driven lead selection. - Independently formulate hypotheses, design complex experiments, troubleshoot technical challenges, and adapt experimental approaches to address critical program questions and scientific risks. - Evaluate and implement new antibody/protein engineering methods, display technologies, and analysis approaches that can strengthen discovery quality, throughput, or molecular optimization. - Communicate experimental plans, results, and recommendations clearly to cross-functional scientific teams and contribute to technical reports, project updates, and presentations. - Coordinate effectively with internal collaborators and external partners, and provide scientific guidance or mentorship to research associates or junior colleagues as appropriate. Now Requirements (basic qualifications):

      Requirements

      • ... each bullet. List: - PhD in protein engineering, molecular biology, biochemistry, immunology, cancer biology, or a related discipline, with 2+ years of relevant post-PhD industry experience in antibody discovery, protein engineering, antibody engineering, or biologics discovery. - Strong hands-on experience with yeast surface display for antibody or protein engineering, including library design/construction, FACS-based screening or selection, affinity maturation, and/or specificity optimization. - Strong technical foundation in antibody/protein structure-function relationships and the application of engineering approaches to improve binding, specificity, stability, expression, developability, or molecular format. - Demonstrated experience collaborating with computational protein design, bioinformatics, structural biology, or related teams to translate computational/design hypotheses into experimental constructs or libraries and to provide experimental feedback that informs iterative design. - Strong molecular biology and protein engineering skills, including cloning, mutagenesis, library construction, sequence analysis, expression construct design, protein/antibody expression, purification, and analytical characterization. - Experience analyzing sequence-rich datasets generated from display selections or screening campaigns; familiarity with NGS-based library or repertoire analysis is strongly valued. - Experience with antibody/protein characterization methods such as affinity determination, epitope binning, competition assays, specificity profiling, developability assessment, Biacore, Carterra, Octet, ELISA, MSD, flow cytometry, or related technologies. - Demonstrated ability to independently design, execute, interpret, and troubleshoot complex experiments and to draw clear conclusions and next steps from multidisciplinary datasets. - Experience working effectively across multidisciplinary teams and integrating experimental results with structural, computational, biochemical, and/or functional data. - Ability to contribute to multiple projects simultaneously, coordinate experimental priorities and timelines, and communicate scientific risks, tradeoffs, and recommendations to project stakeholders. - Excellent analytical, organizational, written, oral, and interpersonal communication skills, with the ability to present complex scientific findings clearly to diverse scientific audiences. - Collaborative, proactive, resourceful approach to working in a fast-paced, cross-functional, matrixed research environment. Now Qualifications (preferred):

        Qualifications

        • ... each bullet. List: - Additional experience with advanced yeast or mammalian display approaches, including focused or combinatorial library design, deep sequencing, multiplexed selections, or high-throughput variant characterization. - Experience working in iterative computational/experimental protein design workflows, including structure-guided design, de novo protein or binder design, AI/ML-enabled design tools, or developability prediction platforms. - Experience engineering advanced antibody-based therapeutic formats such as T cell engagers, TCR engagers, bispecific or multispecific antibodies, ADCs, CAR-T or CAR-NK-related formats, or other non-canonical architectures. - Experience with immunization-based or B cell-based antibody discovery, including antigen strategy, single-cell screening, sequence recovery, or repertoire analysis. - Familiarity with functional cell-based assays, immune-cell biology, primary-cell assays, or immune-cell redirecting therapeutic mechanisms. - Experience applying antibody or protein engineering approaches across oncology, autoimmune, infectious disease, or other therapeutically relevant areas. - Track record of scientific impact through therapeutic discovery programs, publications, patents, presentations, implementation of new engineering technologies, or mentorship of junior scientists. - A desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative. Now Benefits:

          Benefits

          ... paragraph describing benefits. Paragraph: "At Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between. Competitive healthcare, plus voluntary benefit programs to support your unique needsA holistic approach to well-being, with access to fitness, mindfulness, and mental health supportFamily planning benefits, including fertility, adoption, and surrogacy supportGenerous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdownSavings and investments to help you plan for the futureLocation-specific perks and extras" We need to fix spacing: there are missing spaces after commas. We'll keep as is but maybe add spaces for readability. However we must not invent content; we can keep original text but it's missing spaces. We'll preserve exactly as given? The instruction: preserve ALL substantive information; do not invent or summarize away detail. So we should keep the text exactly as appears, even if missing spaces. However we can add spaces? That would be altering. Better to keep as is. Now Pay:

          Pay

          The salary range for this role is $130,800.00