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Structure Properties Jobs in Massachusetts (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Cambridge, MA · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

micro1 AI

Bioinformatics Software Engineer

Lowell, MA · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

micro1 AI

Bioinformatics Software Engineer

New Bedford, MA · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

micro1 AI

Bioinformatics Software Engineer

Lynn, MA · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

micro1 AI

Cheminformatics Specialist - Remote

Lynn, MA · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

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All JobsStructure Properties JobsStructure Properties Jobs in Massachusetts

Structure Properties information

What are structure properties?

Structure properties refer to the physical and mechanical characteristics of materials or components used in construction or engineering. These properties include strength, stiffness, ductility, durability, and load-bearing capacity, among others. Understanding structure properties is essential for designing safe and efficient buildings, bridges, or other structures, as they determine how materials will behave under various loads and environmental conditions. Engineers and architects use this information to select appropriate materials and ensure structural integrity.

What are the key skills and qualifications needed to thrive as a structural engineer, and why are they important?

To excel as a Structural Engineer, you need a solid background in civil or structural engineering, supported by a relevant degree and often a Professional Engineer (PE) license. Familiarity with structural analysis software (such as SAP2000 or ETABS), CAD tools, and building codes is typically required. Strong problem-solving, project management, and communication skills help you collaborate effectively and ensure project success. These competencies are crucial for designing safe, reliable structures and meeting regulatory standards in the construction industry.

What are some common challenges faced by professionals working in structure properties analysis, and how can they be addressed?

Professionals in structure properties analysis often encounter challenges such as interpreting complex data from various testing methods, ensuring the accuracy of material property measurements, and staying updated with evolving industry standards. Collaboration with multidisciplinary teams, including engineers and material scientists, is essential for comprehensive analysis and problem-solving. Regular training on new analytical techniques and adherence to quality control protocols help mitigate errors and maintain reliability in results.

What is the difference between Structure Properties vs Structural Engineer?

AspectStructure PropertiesStructural Engineer
Required CredentialsKnowledge of materials, design principles, and construction standardsEngineering degree, licensure, and professional certification
Work EnvironmentDesign, analysis, and specification of building componentsDesign, analysis, and oversight of structural systems in projects
Industry UsageUsed by architects, engineers, and construction professionals to describe material and design attributesUsed by licensed engineers responsible for structural safety and compliance

Structure Properties refer to the characteristics of materials and design elements used in construction, while Structural Engineers are licensed professionals who design and analyze these structures to ensure safety and compliance. Understanding the difference helps clarify roles in the building process and ensures proper communication among project stakeholders.

What are popular job titles related to Structure Properties jobs in Massachusetts?

For Structure Properties jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Structure Properties jobs in Massachusetts look for?

The top searched job categories for Structure Properties jobs in Massachusetts are:

What cities in Massachusetts are hiring for Structure Properties jobs?

Cities in Massachusetts with the most Structure Properties job openings:

Structure Properties jobs near you

Computational Scientist I/II, Soft Matter Formulations , Complex Fluids

Lila Sciences

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted yesterday

Job description

Your Impact at LILA
Lila Sciences is seeking a Computational Scientist I/II, Soft Matter Formulations - Complex Fluids to develop models, tools, and workflows that accelerate discovery across liquid and flowable soft material systems. This role focuses on complex fluids, including colloidal suspensions, emulsions, surfactant systems, polymer solutions, coolants and heat-transfer fluids, coatings, inks, and lubricants.
You will bring domain expertise in soft matter, complex fluids, colloids, rheology, interfacial science, formulation science, or a closely related area, and apply machine learning methods to connect composition, microstructure, processing conditions, and bulk fluid properties. The work spans rheology and flow behavior, phase stability, dispersion and aggregation, sedimentation, shelf-life, interfacial and wetting behavior, surface tension, foaming, and thermophysical performance.
This is a hands-on scientific ML role for someone who can bridge domain context and computational execution. You will develop structure-property models linking composition to microstructure and bulk fluid behavior, build active learning workflows over continuous compositional spaces, and incorporate mesoscale or continuum simulation coupling, such as coarse-grained molecular dynamics, dissipative particle dynamics, or CFD hooks, where it improves prediction and experimental decision-making.
What You'll Be Building
  • Develop machine learning models for complex fluid systems, including colloidal suspensions, emulsions, surfactant systems, polymer solutions, coolants and heat-transfer fluids, coatings, inks, and lubricants.
  • Define modeling targets for rheology, phase stability, dispersion and aggregation behavior, sedimentation, shelf-life, and thermophysical performance for liquid formulation systems,
  • Build structure-property models that connect composition, microstructure, processing conditions, and bulk fluid properties.
  • Design active learning workflows over continuous compositional spaces that prioritize high-value experiments and formulation decisions.
  • Incorporate mesoscale and continuum simulation outputs, such as coarse-grained MD, dissipative particle dynamics, or CFD-linked features, where they improve prediction or interpretation.
  • Create tools that help scientists interpret complex fluid data and prioritize formulation, processing, or composition decisions.
  • Partner with experimental teams to align models with measurement workflows, formulation workcell throughput, material performance requirements, and practical development needs.
  • Communicate model behavior, uncertainty, and recommendations to scientific, engineering, and cross-functional collaborators.

What You'll Need to Succeed
  • Experience applying machine learning to scientific, materials-focused, complex fluid, soft matter, or formulation problems.
  • Domain expertise in colloids, emulsions, surfactants, polymer solutions, rheology, interfacial science, thermophysical fluids, coatings, inks, lubricants, or related fields.
  • Familiarity with rheology, phase stability, dispersion, aggregation, sedimentation, wetting, surface tension, foaming, thermal conductivity, heat capacity, or related fluid performance properties.
  • Strong Python skills and experience with modern ML frameworks.
  • Experience training, evaluating, and improving models using experimental, simulation, or scientific datasets.
  • Ability to use simulations, theory, descriptors, or mechanistic understanding to inform modeling choices for complex fluid systems.
  • Strong communication skills with experimental, computational, and cross-functional collaborators.
  • PhD in chemical engineering, materials science, physics, applied mathematics, computational science, or a related field, or a master's degree with equivalent relevant experience.

Bonus Points For
  • Experience working with experimental data from colloidal suspensions, emulsions, surfactant systems, polymer solutions, coolants, coatings, inks, lubricants, or related liquid formulations.
  • Experience modeling composition-to-microstructure-to-property relationships for liquid or flowable soft material systems.
  • Familiarity with active learning over continuous compositional spaces or high-throughput formulation campaigns.
  • Experience incorporating mesoscale or continuum simulation outputs, including coarse-grained MD, dissipative particle dynamics, CFD-linked models, or related approaches, into ML workflows.
  • Experience modeling thermophysical fluid properties relevant to coolant or heat-transfer applications.
  • Hands-on experimental experience in complex fluids, colloids, emulsions, rheology, interfacial science, or soft material formulation domains.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$118,800-$187,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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