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Molecular Life Science Jobs (NOW HIRING)

System One

Biochemist/Molecular Biologist

Cambridge, MA · On-site

$35 - $41.82/hr

B.S. in Biological Sciences, Molecular Biology, Biotechnology, Biochemistry, or a related life sciences discipline * 2+ years experience with molecular biology techniques including plasmid ...

System One

Biochemist/Molecular Biologist

Cambridge, MA · On-site

$35 - $41.82/hr

B.S. in Biological Sciences, Molecular Biology, Biotechnology, Biochemistry, or a related life sciences discipline * 2+ years experience with molecular biology techniques including plasmid ...

System One

Biochemist/Molecular Biologist

Cambridge, MA · On-site

$35 - $41.82/hr

B.S. in Biological Sciences, Molecular Biology, Biotechnology, Biochemistry, or a related life sciences discipline * 2+ years experience with molecular biology techniques including plasmid ...

Foundation Medicine

Molecular Technologist I

Boston, MA · On-site

$57K - $72K/yr

Bachelor's Degree in a chemical, physical, biological, or life science (per NYSDOH regulatory requirements) * 1+ years of molecular laboratory work experience in a CAP/CLIA regulated lab

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Molecular Life Science information

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How much do molecular life science jobs pay per year?

As of Aug 7, 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?

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 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 can you do with a molecular life 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, or quality control analysts, often utilizing skills in molecular techniques, data analysis, and laboratory equipment. Advanced roles 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.

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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% 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 Scientist I / II, Foundation Models for Life Sciences

Lila Sciences

San Francisco, CA • On-site

$176K - $304K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 10 days ago

Job description

Your Impact at Lila
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains.
We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine.
This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila's presence in the broader scientific community.
What You'll Be Building
  • Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning
  • Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors
  • Be part of the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance
  • Translate biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists
  • Support research quality and methodology standards within the foundation models program

What You'll Need to Succeed
  • PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field (or Master's with equivalent research experience)
  • Strong foundation in generative model architectures and training, with hands-on experience in model development and evaluation
  • Ability to formulate and execute research independently, from problem definition through experimentation
  • Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related)
  • Experience collaborating with experimental scientists or working with biological/chemical data
  • Proficiency in ML frameworks (PyTorch, JAX, or TensorFlow) and experience with GPU-based training workflows

Bonus Points For
  • Experience in computational protein design or molecular structure prediction
  • Experience with active learning loops or closed-loop experimental workflows
  • Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications
  • Familiarity with distributed training infrastructure
  • High-impact publications or open-source contributions in AI for Science in relevant venues (NeurIPS, ICML, ICLR, AAAAI, Nature Methods, Nature Biotechnology, or equivalent)

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
$176,000-$304,000 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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