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Biomolecular Science Jobs (NOW HIRING)

IQVIA

Senior Scientist

Durham, NC · On-site

$80K - $167K/yr

Supervise, train, and mentor team members in the design and execution of biomolecular interaction ... science field, preferably within biotech or pharmaceutical environments. * Extensive handson ...

Bayer

Principal Machine Learning Scientist

Cambridge, MA · On-site

$128K - $192K/yr

Keep up to date with the latest advances in AI-driven modeling of biomolecular structure and ... computer science; Deep expertise with state-of-the-art machine learning methods for modeling ...

Uottawa

APTPUO Winter 2027 BCH4932 G00

Campus, IL

$239.47/hr

Departement de chimie et sciences biomoleculaires \\ Department of Chemistry and Biomolecular Sciences Course Title: Seminaire de biochimie / Biochemistry Seminar Course Code: BCH4932 Section: G00 ...

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$48.4K

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How much do biomolecular science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for biomolecular science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is a biomolecular science?

A Biomolecular Science job involves studying the structure, function, and interactions of biomolecules such as proteins, DNA, and enzymes. Professionals in this field work in biotechnology, pharmaceuticals, healthcare, and academic research to develop new treatments, diagnostics, and biotechnological applications. Roles may include laboratory research, drug development, genetic engineering, or bioinformatics. These jobs require expertise in molecular biology, chemistry, and data analysis to understand and manipulate biological systems for scientific and medical advancements.

What does a biomolecular scientist do?

A typical day in Biomolecular Science involves designing and conducting laboratory experiments, analyzing biological samples, and interpreting complex data related to molecular processes. You’ll often collaborate with other scientists, participate in research meetings, and document your findings in detailed lab notebooks or reports. The work environment is usually fast-paced and research-oriented, requiring adaptability as projects evolve. On many teams, you may also have opportunities to present results, contribute to scientific papers, and brainstorm innovative solutions to scientific challenges.

What are the key skills and qualifications needed to thrive in biomolecular science?

To excel in Biomolecular Science, individuals typically need a strong background in biology, chemistry, and molecular techniques, usually supported by a relevant bachelor's or advanced degree. Familiarity with laboratory instruments such as PCR machines, spectrophotometers, and experience using data analysis software like MATLAB or Python is often required, along with certifications in laboratory safety. Strong analytical thinking, attention to detail, and effective communication skills help differentiate outstanding professionals in this field. These competencies enable accurate experimentation, reliable data interpretation, and successful collaboration on research projects.

How much does a biomolecular scientist make?

The average salary for a biomolecular scientist typically ranges from $50,000 to $90,000 per year, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced degrees or specialized skills can earn higher salaries, especially in research or industry settings.

Is biomolecular science a good degree?

Biomolecular science is a valuable degree for careers in research, healthcare, and biotechnology, often leading to roles such as laboratory technician, research scientist, or biotechnologist. It provides a strong foundation in biology, chemistry, and laboratory skills, which are essential for working in scientific environments and pursuing advanced education or certifications.

What can you do with a biomolecular science degree?

A biomolecular science degree prepares individuals for careers in research, healthcare, pharmaceuticals, biotechnology, and diagnostics. Graduates can work as laboratory technicians, research scientists, quality control analysts, or in regulatory roles, often utilizing skills in laboratory techniques, data analysis, and scientific communication.
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Biomolecular Science jobs near you
Infographic showing various Biomolecular Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

ML Research Scientist - De Novo Design

Merge Labs

San Francisco, CA • On-site

$200K - $270K/yr

Full-time

Re-posted 12 days ago

Job description

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
About the team:
Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group collaborates extensively with wet-lab scientists, automation engineers, and data engineers to create ML frameworks that accelerate molecule discovery and device optimization.
About the role:
We're hiring a Senior / Principal ML Scientist to design and scale de novo design frameworks that guide molecular engineering campaigns through iterative design-build-test-learn (DBTL) cycles. Starting from a blank slate, you'll first architect the company's closed-loop optimization backbone-building the data and modeling foundations that connect experiments to these ML frameworks. Over time, you'll help translate these prototypes into production pipelines that measurably improve experimental throughput and discovery success across multiple biomolecular and neuroengineering verticals.
In this role, you will:
  • Build the scientific and engineering scaffolding in collaboration with data-engineering & MLOps for de novo design and closed-loop optimization, including data ingestion, ML modeling, and library design.
  • Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints.
  • Prototype de novo design frameworks using internal and public datasets; benchmark and validate model performance.
  • Integrate ML models with experimental data streams and serve to non-domain experts for model democratization.
  • Extend ML frameworks to handle multi-objective or constrained optimization problems.
  • Stay up-to-date with the latest research in de novo design, and prototype novel algorithms that can be deployed to improve the company's discovery or development workflows.
  • Contribute to the long-term research roadmap and serve as a thought-leader for scientists.

You might thrive in this role if you have:
  • Strong grounding in SSMs, LLMs, SE(3)-equivariance, Flow-matching.
  • Working knowledge of transfer-learning strategies.
  • Proficiency in Python / PyTorch / Jax and comfort writing clean, reproducible production grade code.
  • Experience bridging machine learning and experimental science - working with sparse, noisy, and or high-cost data.
  • A collaborative, systems-level mindset.
  • Nice to have: familiarity with neuroscience.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.

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