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Molecular Modeling Jobs (NOW HIRING)

System One

Biochemist/Molecular Biologist

Cambridge, MA · On-site

$35 - $41.82/hr

Contract Compensation: $35-$41.82 Work Model: Onsite - onsite Hours: 40.0 hours/week Overview Our clients BioMedicine Design (BMD) is seeking a highly motivated Biochemist/Molecular Biologist to join ...

System One

Biochemist/Molecular Biologist

Cambridge, MA · On-site

$35 - $41.82/hr

Contract Compensation: $35-$41.82 Work Model: Onsite - onsite Hours: 40.0 hours/week Overview Our clients BioMedicine Design (BMD) is seeking a highly motivated Biochemist/Molecular Biologist to join ...

System One

Biochemist/Molecular Biologist

Cambridge, MA · On-site

$35 - $41.82/hr

Contract Compensation: $35-$41.82 Work Model: Onsite - onsite Hours: 40.0 hours/week Overview Our clients BioMedicine Design (BMD) is seeking a highly motivated Biochemist/Molecular Biologist to join ...

MSD

Sr. Scientist, NMR Spectroscopy

Rahway, NJ

$92K - $126K/yr

Functional knowledge of computational chemistry or ability to apply molecular modeling methods to help solve NMR problems * Familiarity with multiple analytical methods (HPLC, GC, UV, FT-IR, MS, TGA ...

Merck & Co., Inc.

Sr. Scientist, NMR Spectroscopy

Rahway, NJ · On-site

$92K - $126K/yr

Functional knowledge of computational chemistry or ability to apply molecular modeling methods to help solve NMR problems * Familiarity with multiple analytical methods (HPLC, GC, UV, FT-IR, MS, TGA ...

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Molecular Modeling information

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$11K

$80.7K

$103.5K

How much do molecular modeling jobs pay per year?

As of Jul 2, 2026, the average yearly pay for molecular modeling in the United States is $80,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a Molecular Modeling job?

A Molecular Modeling job involves using computer simulations and theoretical techniques to study molecular structures, interactions, and properties. Professionals in this field apply computational chemistry, molecular dynamics, and quantum mechanics to predict molecular behavior in drug discovery, materials science, and biochemistry. They work with specialized software and collaborate with experimental scientists to design and optimize compounds for various applications.

What are the typical career advancement opportunities for someone in a Molecular Modeling position?

Molecular modeling professionals can pursue a variety of career advancement opportunities, including progressing to lead scientist or principal investigator roles, moving into project management, or specializing in areas like drug design or materials science. With experience, you may also transition into roles in academia, regulatory affairs, or scientific consulting. Continued professional development through advanced degrees, certifications, or technical workshops can further expand your options and responsibilities. Additionally, collaborating on interdisciplinary projects and publishing research can enhance your reputation and open doors to leadership positions in the field.

What are the key skills and qualifications needed to thrive in the Molecular Modeling position, and why are they important?

To thrive in Molecular Modeling, you typically need a strong background in chemistry, biochemistry, or a related field, with a solid understanding of molecular structures and computational methods. Experience with molecular modeling software such as Schrödinger, MOE, or Gaussian, as well as familiarity with scripting languages like Python, is highly valuable. Analytical thinking, problem-solving abilities, and effective communication are key soft skills for interpreting complex data and collaborating with interdisciplinary teams. These qualifications are crucial for accurately modeling molecular systems, advancing research projects, and facilitating successful teamwork in scientific environments.

More about Molecular Modeling jobs
What cities are hiring for Molecular Modeling jobs? Cities with the most Molecular Modeling job openings:
What are the most commonly searched types of Molecular Modeling jobs? The most popular types of Molecular Modeling jobs are:
What states have the most Molecular Modeling jobs? States with the most job openings for Molecular Modeling jobs include:
What job categories do people searching Molecular Modeling jobs look for? The top searched job categories for Molecular Modeling jobs are:
Molecular Modeling jobs near you
Infographic showing various Molecular Modeling job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $80,687 per year, or $38.8 per hour.

Staff Forward Deployed Engineer, Life Sciences

Lila Sciences

Cambridge, MA • On-site

Other

Posted 23 days ago

Job description

Your Impact at LILA

We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. 

As an FDE, you'll embed directly with our internal biotech and science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months.

What You'll Be Building

  • Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more
  • Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA)
  • Building real-time data pipelines that transform messy scientific data into actionable insights
  • Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists
  • Architecting solutions that scale from proof-of-concept to enterprise-wide deployment

What You'll Need to Succeed

  • Background in biology, molecular science, or related scientific field
  • Outstanding communication skills-you'll interface directly with both executives and the manufacturing line
  • Experience with data engineering, ETL pipelines, and working with complex/messy datasets
  • Strong full-stack development skills with the ability to work across backend, frontend, and data layers
  • Exceptional problem-solving abilities and comfort with ambiguous requirements
  • Knack for product discovery and ability to pass requirements back to the platform
  • Willingness to travel to customer sites for frequent and extended deployments

Bonus Points For

  • Previous customer-facing or consulting experience
  • Depth in controls engineering and machine learning
  • Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)
  • Familiarity with ML/AI implementation and deployment
  • Familiarity with modern web technologies (TypeScript, React)

What Makes a Great FDE

  • Customer Obsessed: You're energized by understanding customer problems deeply and seeing your solutions drive real impact
  • Fast Learner: You quickly grasp new scientific domains and translate complex requirements into elegant solutions
  • Autonomous: You thrive with minimal supervision and take extreme ownership of customer success
  • Collaborative: You work seamlessly with both technical and non-technical stakeholders
  • Technically Versatile: You're comfortable jumping between technologies and picking up new tools as needed

Ready to Transform Scientific Discovery?

If you're excited about embedding with world-class scientists, shipping impactful solutions at startup speed, and building the future of scientific software, we want to hear from you. Join us in our mission to accelerate breakthrough discoveries that will define the next century of human progress.

Apply