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Materials Science Python Jobs (NOW HIRING)

Formlabs

SLS Materials Scientist

Somerville, MA

... science or engineering field (all are welcome) Bonus skills: * Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers! * 3D CAD modeling * Programming skills (Python ...

Formlabs

SLS Materials Scientist

Boston, MA

... science or engineering field (all are welcome) Bonus skills: * Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers! * 3D CAD modeling * Programming skills (Python ...

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How much do materials science python jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for materials science python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Materials Science Python Specialist, and why are they important?

To thrive as a Materials Science Python Specialist, you need a solid background in materials science principles and strong proficiency in Python programming, often supported by a relevant degree in materials science, engineering, or a related field. Familiarity with technical tools such as NumPy, pandas, Matplotlib, and materials modeling software (e.g., LAMMPS, VASP), as well as version control systems like Git, is essential. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this role. These skills ensure accurate data analysis, efficient computational modeling, and successful collaboration across interdisciplinary teams in research and development settings.

How does a Materials Science Python specialist typically collaborate with cross-functional teams in research and development projects?

Materials Science Python specialists often work closely with researchers, experimentalists, and engineers to develop and implement computational models for materials analysis. They are responsible for writing scripts to automate data processing, simulate material properties, and visualize complex results, ensuring that findings are accessible and actionable for the entire team. Effective collaboration requires regular communication to translate experimental needs into computational tasks, share code and results, and refine methodologies based on feedback. This cross-disciplinary interaction is key to accelerating innovation and achieving project goals.

What is a Materials Science Python professional?

A Materials Science Python professional is someone who utilizes the Python programming language to analyze, model, and simulate materials science data and processes. They often work on tasks such as computational materials modeling, data analysis, visualization, and automation of laboratory or simulation workflows. These professionals bridge the gap between materials science and computer programming, enabling more efficient research and development of new materials. Their work can involve using specialized Python libraries like NumPy, Pandas, Matplotlib, and domain-specific tools such as pymatgen or ASE (Atomic Simulation Environment).

What is the difference between Materials Science Python vs Materials Engineer?

AspectMaterials Science PythonMaterials Engineer
Required CredentialsPython programming skills, knowledge of materials scienceBachelor's or Master's in Materials Science or Engineering
Work EnvironmentResearch labs, software development, data analysisManufacturing, product development, testing facilities
Industry UsageData modeling, simulations, automation in materials researchDesigning, testing, and improving materials for products

Materials Science Python professionals focus on coding, data analysis, and simulations using Python, often working in research or software roles. Materials Engineers apply their knowledge directly to product development and manufacturing processes. While both roles require understanding of materials, Python skills are central for the former, whereas hands-on engineering is key for the latter.

Infographic showing various Materials Science Python job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 5% Part Time, 11% Contract, and 5% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Platform Scientist, Soft Materials

Lila Sciences

Cambridge, MA • On-site

$108K - $150K/yr

Other

Medical, Dental, Vision, Life

This job post has expired today. Applications are no longer accepted.

Job description

Your Impact at LILA
Lila Sciences is seeking Platform Scientists, Soft Materials Focus to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation-partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure-property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research.
What You'll Be Building
  • Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems
  • Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays
  • Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts
  • Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales
  • Transfer successful prototypes into production-ready systems within Lila's AI Science Factory platform, enabling autonomous experimentation
What You'll Need to Succeed
  • MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials
  • Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts
  • Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays
  • Experience designing and implementing custom experimental workflows and/or scientific software
  • Strong programming skills (e.g., Python, C++, or similar) applied to data analysis, automation, or experiment control
  • Excellent communication skills and comfort operating in a fast-paced, exploratory R&D environment
Bonus Points For
  • Experience with lab automation, high-throughput experimentation, or instrument control software
  • Background in formulation science (e.g., consumer products, coatings, energy materials, bio-soft matter)
  • Experience linking scattering, rheological, and performance data to predictive or ML-driven models
  • Familiarity with prototyping tools such as 3D printing, machining, microfluidics, or custom sample environments
  • Industry or national lab experience working on soft materials or complex fluids

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
$108,000-$150,000 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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