Scientist

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to parse the job description. Key info: - Role: Scientist (Structural Biology and Cryo-EM Data Workflows) in Thousand Oaks. - About the role: description paragraph: "This onsite Scientist role is based in Thousand Oaks and focuses on developing robust, user-centered automation workflows for cryogenic electron microscopy (cryo-EM) data processing, reporting, and scientific decision support. The position combines deep structural biology and cryo-EM expertise with strong computational skills to leverage AI and modern software practices, reducing manual documentation, improving data traceability, and creating standardized, reusable analysis tools." - Responsibilities: list of bullet points (multiple). We'll need to extract each bullet. - Essential Skills: list. - Additional Skills & Qualifications: list. - Work Environment: description. - Job Type & Location: Contract position based out of Thousand Oaks, CA. - Pay And Benefits: pay range $40.00 - $41.00/hr. Benefits list. - Workplace Type: fully onsite. - Application Deadline: anticipated to close on Oct 9, 2026. (But we should remove application instructions? The instruction says remove application instructions. The deadline might be considered application instruction? Probably we should drop it as it's application instruction. The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." So we should drop Application Deadline. - About Actalent: boilerplate about company, EEO etc. Should be removed. - Also remove duplicated lines. We need to include sections only when there is real specific content. Potential sections: - About the role (we have a paragraph). Use

About the role

then

...

- Responsibilities: list. - Essential Skills: could be under Skills or Requirements. The instruction says use headings like Skills, Requirements, Qualifications. We have "Essential Skills" and "Additional Skills & Qualifications". Could combine into Skills and Qualifications sections. We need to decide: maybe have

Skills

for essential skills, and

Qualifications

for additional skills & qualifications (including PhD etc). Or we could have one Skills section covering both. But better to separate: Skills (essential) and Qualifications (additional). The instruction: "Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can use Skills and Qualifications. - Benefits: we have benefits list. - Pay: we have pay range. - Schedule: we have schedule description (standard schedule approx 8:00 AM-5:00 PM Monday-Friday, no overtime). Also mention assignment length 12 months? That's more like duration, not schedule. Could include schedule section with work hours. - Work Environment: maybe could be under About the role or separate? Not in list but we could incorporate into About the role or maybe a separate section like Work Environment not in allowed headings but we could still include? The instruction says use those headings as examples, but not strictly limited? It says "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." Likely we should stick to those headings. So we can incorporate work environment details into About the role or Responsibilities? Probably About the role can include environment. - Job Type & Location: Could be part of About the role or maybe we could add a short paragraph about contract location. Not a heading; we can embed in About the role. - Pay And Benefits: separate Pay and Benefits sections. - Schedule: we have schedule. We need to preserve all substantive information, not invent or summarize away detail. So we need to keep details like assignment length 12 months, relocation, etc. Where to put? Could be in About the role paragraph. Let's extract details: From description: - Onsite Scientist role based in Thousand Oaks. - Focus: developing robust, user-centered automation workflows for cryo-EM data processing, reporting, and scientific decision support. - Combines deep structural biology and cryo-EM expertise with strong computational skills to leverage AI and modern software practices, reducing manual documentation, improving data traceability, creating standardized, reusable analysis tools. - Standard schedule approx 8:00 AM-5:00 PM Monday-Friday, generally consistent routine, no anticipated regular overtime or weekend work. - Assignment expected to run for 12 months. - Candidates outside area may be considered if willing/able to relocate at own expense. Responsibilities list (I'll extract each bullet as separate

): 1. Develop robust, user-centered automation workflows for cryo-EM data processing, reporting, and scientific decision support. 2. Combine practical understanding of structural biology and cryo-EM workflows with computational skills to leverage AI for reducing manual documentation and improving data traceability. 3. Create standardized, reusable analysis tools that support structural biology experiments and decision-making. 4. Meet regularly with structural biologists to understand current workflows, identify pain points, and translate scientific needs into clear, actionable software requirements. 5. Design, develop, test, document, and maintain software tools that integrate with existing structural biology and cryo-EM workflows. 6. Implement reproducible software practices, including use of GitLab version control, code review, automated and manual testing, dependency management, release documentation, and user instructions. 7. Validate tools against representative datasets, troubleshoot failures, and refine workflows based on feedback from experimental and computational scientists. 8. Maintain clear, comprehensive documentation of assumptions, input requirements, limitations, data provenance, and expected outputs for all tools and workflows. 9. Present progress updates, tool demonstrations, technical recommendations, and concise literature or technology evaluations to scientific stakeholders. 10. Collaborate closely with both experimental and computational scientists to ensure tools and workflows are scientifically sound, practical, and aligned with user needs. 11. Apply strong documentation and reproducible-development practices to ensure that workflows and tools can be reliably reused and extended. 12. Contribute to a solid record of scientific publications, presentations, or technology innovation through the development and deployment of novel cryo-EM data-processing solutions. Essential Skills list: - Deep training and hands-on expertise in cryo-EM data processing, including single particle analysis, tomography, or microcrystal electron diffraction (MicroED) for structural biology applications. - Direct, hands-on responsibility for cryo-EM data processing and structure determination or solving, beyond upstream contributions such as protein purification or sample preparation. - Strong familiarity with cryo-EM software packages such as EPU and CryoSPARC. - Experience developing custom data analysis pipelines that utilize scripting and multiple programs for cryo-EM data analysis. - Comfort working at the Linux command line to control data-processing programs, including the ability to develop scripts, data-processing pipelines, reports, and scientific visualizations. - Familiarity with working in high-performance computing (HPC) environments, including clusters and job schedulers, for large-scale cryo-EM data processing. - Strong documentation skills and commitment to reproducible-development practices, ensuring traceable and repeatable workflows. - Solid record of scientific publications, presentations, or technology innovation related to structural biology, cryo-EM, or scientific computing. - High level of organization with great attention to detail, strong communication skills, and excellent interpersonal abilities. - Proven ability to work collaboratively with both experimental and computational scientists to deliver practical, scientifically rigorous solutions. Additional Skills & Qualifications list: - Recent PhD in structural biology, biophysics, computational biology, or a related field is ideal; candidates with a masters degree plus relevant experience in cryo-EM and scientific computing will also be considered. - Experience in at least one programming language, such as Python or another suitable language, to develop tools and automate scientific data workflows. - Experience with version control systems, such as Git and GitLab, including branching, merging, code review, and release management. - Ability to translate scientific user needs into practical, well-defined software and workflow requirements. - Experience with x-ray crystallography data processing and related structural biology techniques. - Familiarity with structural biology and visualization software packages such as Relion, PyMOL, ChimeraX, XDS, or similar tools. - Experience customizing or troubleshooting data-processing workflows, including scripting and integration of multiple programs. - Comfort working beyond basic GUI or tutorial-driven workflows, including command-line environments and high-performance computing systems. - Experience presenting technical content, tool demonstrations, and literature or technology evaluations to scientific audiences. Work Environment description: - The role is fully onsite in Thousand Oaks, working in a modern scientific and computational environment that supports advanced structural biology and cryo-EM research. - The standard work schedule is approximately 8:00 AM-5:00 PM, Monday through Friday, with a generally consistent routine and no regular expectation of overtime or weekend work. - The assignment is anticipated to last for 12 months. - The environment includes access to cryo-EM instrumentation, structural biology tools, and high-performance computing clusters for data processing. - You will work closely with experimental and computational scientists, using Linux-based systems, command-line tools, and software such as EPU, CryoSPARC, Relion, PyMOL, ChimeraX, XDS, and GitLab for version control and collaboration. - The culture emphasizes collaboration, clear communication, rigorous documentation, and reproducible scientific and software practices, providing an engaging setting for early-career scientists to contribute to impactful structural biology workflows. Job Type & Location: - This is a Contract position based out of Thousand Oaks, CA. Pay And Benefits: - Pay range: $40.00 - $41.00/hr. - Individual compensation offered within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. - Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. - Benefits are subject to change and may be subject to specific elections, plan, or program terms. - If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type: - This is a fully onsite position in Thousand Oaks, CA. Application Deadline: remove. About Actalent: remove. Now we need to produce HTML fragment with sections. We need to decide which sections to include: - About the role: include paragraph summarizing role, location, schedule, assignment length, relocation possibility. - Responsibilities:

• ... each bullet. - Skills: essential skills list. - Qualifications: additional skills & qualifications list. - Benefits: list. - Pay: paragraph with pay range and note about factors. - Schedule: maybe we already included schedule in About the role; but we could still have a Schedule section if we want. However we already have schedule info in About the role; but we could still include a separate Schedule section with the schedule details. The instruction: "Prefer a few substantive sections over many thin ones." So maybe we incorporate schedule into About the role to avoid thin Schedule section. But we also have assignment length 12 months; could also be in About the role. Thus About the role paragraph can include: onsite Scientist role based in Thousand Oaks; focus; standard schedule approx 8:00 AM-5:00 PM Monday-Friday, no