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Molecular Life Science Jobs (NOW HIRING)

Caris Life Sciences

Molecular Geneticist

Phoenix, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive ...

Caris Life Sciences

Molecular Geneticist

Phoenix, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive ...

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How much do molecular life science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for molecular life science 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 Life Science job?

A Molecular Life Science job focuses on studying biological processes at the molecular level, including genetics, biochemistry, and cell biology. Professionals in this field work in research, healthcare, biotechnology, and pharmaceuticals to develop new treatments, diagnostics, and technologies. Common roles include research scientists, lab technicians, and bioinformaticians. These jobs require strong analytical skills, laboratory experience, and often advanced degrees in molecular biology or related fields.

What kind of jobs can I get with a molecular biology degree?

A molecular biology degree can lead to roles such as research scientist, laboratory technician, or biomedical scientist, often requiring skills in laboratory techniques, data analysis, and familiarity with tools like PCR and microscopy. These jobs are common in biotech, pharmaceutical, academic, and healthcare settings, with some positions requiring advanced degrees or certifications. The field offers opportunities in research, development, quality control, and regulatory compliance.

What types of projects and research do professionals in Molecular Life Science typically work on?

Molecular Life Science professionals often work on projects related to understanding the molecular mechanisms of living organisms, such as gene expression, protein function, and cellular signaling. Their research may contribute to advancements in medicine, agriculture, biotechnology, or environmental science. Day-to-day, these roles may involve designing experiments, analyzing samples, interpreting data, and documenting findings. Professionals often collaborate with multidisciplinary teams, including other scientists, lab technicians, and industry partners, to drive innovation and address real-world challenges.

What biology jobs pay over $100k?

In molecular life science, roles such as senior research scientist, biotech director, and clinical research manager often have salaries exceeding $100,000. These positions typically require advanced degrees, specialized skills in laboratory techniques or data analysis, and experience in the industry or research environment.

What can you do with a molecular science degree?

A molecular life science degree prepares individuals for careers in research, biotechnology, pharmaceuticals, and healthcare. Graduates can work as laboratory scientists, research associates, quality control analysts, or in roles involving data analysis and scientific communication, often utilizing tools like PCR, chromatography, and microscopy. Advanced positions may require additional certifications or advanced degrees.

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

To thrive in a Molecular Life Science role, you need a strong background in biology, chemistry, and laboratory techniques, typically supported by a degree in molecular biology, biochemistry, or a related field. Familiarity with lab equipment such as PCR machines, spectrophotometers, and bioinformatics software, as well as certifications in laboratory safety, are often required. Critical thinking, attention to detail, and effective communication are crucial soft skills for success. These abilities are essential for conducting accurate experiments, analyzing data, and collaborating on research projects within the scientific community.

Do molecular biologists get paid well?

Molecular biologists typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but with advanced skills and research experience, salaries can increase significantly, especially in industry or private sector roles. Many molecular biologists also pursue specialized certifications or advanced degrees to enhance earning potential.
What states have the most Molecular Life Science jobs? States with the most job openings for Molecular Life Science jobs include:
What job categories do people searching Molecular Life Science jobs look for? The top searched job categories for Molecular Life Science jobs are:
Molecular Life Science jobs near you
Infographic showing various Molecular Life Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $80,687 per year, or $38.8 per hour.

ML & Molecular Simulation Scientist

Genesis Molecular AI

San Mateo, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 hours ago

Job description

About the Team
At Genesis Molecular AI, we're a tight-knit team of deep learning researchers, computational scientists, and drug discovery pioneers united by a single mission: to develop the next generation of AI-driven therapies for patients with severe diseases.
We don't just apply machine learning to biology - we conduct fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field.
At Genesis, simulation and machine learning aren't separate disciplines: they're deeply integrated, and the scientists who do this work sit at the center of everything we build. You will work side by side with world-class researchers across ML, chemistry, and biology, with access to large-scale compute infrastructure and simulation pipelines, contributing to a platform where physics-based methods and AI advance together.
About the Role
We are seeking a ML & Molecular Simulation Scientist to develop and apply methods at the intersection of 3D molecular simulation and machine learning, and see those methods through to real impact in drug discovery programs.
This is a role for someone who thrives at the intersection of computational science and machine learning: designing and running simulations, building ML models grounded in physical intuition, and collaborating directly with CADD and discovery teams to move molecules from hit identification to lead optimization.
Some areas you may focus on:
  • Build and apply ML models informed by 3D structural data, including geometric deep learning, equivariant neural networks, and diffusion-based generative models for molecular design and property prediction
  • Integrate physics-based and ML + data-driven approaches, combining force field methods, quantum chemistry, and structure-based design with modern ML to improve accuracy and throughput
  • Develop and apply simulation methods spanning molecular dynamics, enhanced sampling (metadynamics, replica exchange, umbrella sampling), and free energy calculations (FEP/TI) to support active drug discovery programs
  • Contribute to the GEMS platform, improving our generative AI and scoring capabilities, focusing on 3D methods; strengthen ML and physics-based scoring functions (and their intersection), build next-gen force fields
  • Work directly with CADD and discovery scientists to apply computational methods across the drug discovery pipeline, from target structure analysis through lead optimization
  • Stay current with the field, implementing and adapting methods from the latest literature in geometric ML, biomolecular simulation, and computational drug design
  • Communicate scientific results clearly to multidisciplinary teams, including experimental chemists and biologists

Who You Are
  • Practical experience with 3D machine learning - geometric deep learning, graph neural networks, equivariant architectures (e.g., SE(3)/E(3) networks), or diffusion models applied to molecular data
  • PhD (preferred) in computer science, machine learning, chemical engineering, biophysics, physics, or a closely related field; postdoctoral or industry experience is a plus
  • Deep, hands-on expertise in molecular simulation, including MD, enhanced sampling, and/or free energy methods using tools such as GROMACS, AMBER, OpenMM, or NAMD
  • Familiarity with structure-based drug design workflows: docking, binding site analysis, protein-ligand interaction modeling using tools such as MOE, or PyMOL
  • Proficiency in Python and scientific computing libraries (PyTorch, JAX, NumPy, MDAnalysis, RDKit); comfort with HPC environments and scripting for large-scale simulation workflows
  • A track record of applying computational methods to real scientific problems, demonstrated through publications, open-source contributions, or industry impact
  • Collaborative, curious, and able to move between rigorous method development and fast-paced discovery work

Nice to Have
  • Familiarity with cheminformatics and ADMET property prediction
  • Contributions to open-source simulation or ML tooling

What We Offer
  • Highly competitive compensation including base, bonus, and equity
  • Comprehensive health, dental, and vision insurance (fully covered for employees)
  • Stock option eligibility
  • 401(k) plan
  • Open PTO policy
  • Paid company holidays
  • Daily meals and snacks in the office
  • Flexible work environment

About Genesis Molecular AI
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.
Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

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