1

Nanotechnology Data Scientist Jobs (NOW HIRING)

Scientist II, LNP

South Boston, MA ยท On-site

$130K - $140K/yr

The ideal candidate will have experience in lipid nanoparticle (LNP) design, formulation and ... Analyze, interpret and present complex experimental data clearly and concisely at team and company ...

Scientist I - LNP

San Diego, CA ยท On-site

$112.04/hr

Scientist I - LNP San Diego, United States | Posted on 07/30/2026 Our client, a world leader in ... nanoparticle formulations, generating high-quality analytical data, and collaborating with cross ...

Principal Scientist

San Diego, CA ยท On-site

$116K - $210K/yr

Synthetic chemistry, nanomaterials, and/or biology expertise with demonstrated experience in the ... data, applicable bargaining agreement (if any), or other law.

Showing results 41-60

Nanotechnology Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do nanotechnology data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nanotechnology data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a nanotechnology data scientist do?

A Nanotechnology Data Scientist analyzes and interprets large datasets generated from nanoscale experiments and simulations. They use advanced statistical methods, machine learning, and data visualization tools to uncover patterns and insights that drive research and product development in nanotechnology. Their work supports innovations in fields like medicine, electronics, and materials science by helping to optimize nanoscale processes and materials. Collaboration with engineers, physicists, and chemists is common to ensure the data-driven solutions are practical and aligned with scientific goals.

What skills and qualifications are needed to be a nanotechnology data scientist?

To thrive as a Nanotechnology Data Scientist, you need a strong background in data analysis, machine learning, and nanoscience, typically supported by an advanced degree in physics, materials science, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with specialized simulation software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication are vital soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills are crucial for extracting actionable insights from nanoscale datasets and driving innovation in nanotechnology research and applications.

How does a nanotechnology data scientist collaborate with multidisciplinary teams?

Nanotechnology Data Scientists often work closely with physicists, chemists, material scientists, and engineers to analyze and interpret complex datasets generated from nanoscale experiments or simulations. They play a crucial role in bridging the gap between experimental results and actionable insights by developing algorithms, visualizations, and predictive models. This collaboration often involves regular meetings to discuss findings, align research objectives, and ensure that data-driven approaches enhance the team's overall project goals. Effective communication and the ability to translate technical data into understandable information for non-data specialists are key to success in this role.

Is nanotechnology a good career?

A career as a nanotechnology data scientist involves working with nanoscale data, advanced materials, and computational tools. It offers opportunities in research, industry, and academia, often requiring strong skills in data analysis, programming, and scientific knowledge. The field is growing with increasing applications in medicine, electronics, and energy sectors.
More about Nanotechnology Data Scientist jobs

What cities are hiring for Nanotechnology Data Scientist jobs?

Cities with the most Nanotechnology Data Scientist job openings:

What states have the most Nanotechnology Data Scientist jobs?

States with the most job openings for Nanotechnology Data Scientist jobs include:

What job categories do people searching Nanotechnology Data Scientist jobs look for?

The top searched job categories for Nanotechnology Data Scientist jobs are:

Infographic showing various Nanotechnology Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $122,738 per year, or $59 per hour.

Analytical Scientist, Ph.D.

Pivotal Life Sciences

San Diego, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Analytical Scientist, Ph.D.

Location:San Diego, CA

Job Type:Full-Time, Onsite


About Us

We are an innovative, stealth-mode biotech focused on developing best-in-class delivery for in vivo gene editing.


Job Summary

We are seeking a highly skilled Analytical Scientist to join our team in a hands-on, lab-based role. The successful candidate will be responsible for developing, validating, and executing analytical methods for the characterization of proteins, RNA, and lipids, central to our lipid nanoparticle (LNP) gene editing platform. This role requires deep expertise in LC/MS and complementary analytical techniques, with the ability to independently design experiments, troubleshoot complex analytical challenges, and deliver high-quality data to support research, process development, and regulatory submissions. The Analytical Scientist will serve as a subject matter expert across the organization on bioanalytical methodologies. Title and salary will be commensurate with experience.


Responsibilities

  • Design, develop, optimize, and validate analytical methods for the characterization of proteins (e.g., Cas9, antibody constructs), mRNA, gRNA, and lipid components using LC/MS (intact mass, peptide mapping, oligonucleotide analysis, lipidomics).
  • Perform routine and non-routine hands-on analyses in the laboratory; operate, maintain, and troubleshoot LC/MS instrumentation (e.g., Q-TOF, Orbitrap, triple quadrupole) and associated sample preparation workflows.
  • Develop and execute orthogonal analytical methods including but not limited to HPLC/UPLC (RP, SEC, IEX, HILIC), capillary electrophoresis, UV/Vis spectrophotometry, and fluorescence-based assays.
  • Characterize LNP drug product attributes including lipid composition and ratios, encapsulation efficiency, RNA integrity, protein identity and purity, and post-translational or chemical modifications.
  • Support formulation development, process development, and stability studies by providing timely, high-quality analytical data and interpretation.
  • Author and review analytical methods, protocols, technical reports, and SOPs to support research activities and future regulatory filings.
  • Analyze and interpret complex mass spectrometry datasets; present findings to cross-functional teams and contribute to program-level decision-making.
  • Evaluate and implement new analytical technologies, software tools, and workflows to improve throughput, sensitivity, and data quality.
  • Collaborate closely with formulation scientists, biologists, process development, and CMC teams to ensure analytical needs are met across programs.
  • Maintain laboratory equipment, consumable inventories, and ensure compliance with safety and data integrity standards.

Qualifications

  • Ph.D. in Analytical Chemistry, Biochemistry, Chemistry, Pharmaceutical Sciences, or a related field.
  • 3+ years of industry or postdoctoral experience in bioanalytical method development and characterization of biopharmaceuticals, nucleic acids, or lipid-based drug products.
  • Extensive hands-on experience with LC/MS platforms (Q-TOF, Orbitrap, or triple quadrupole) for protein, oligonucleotide, and/or lipid analysis.
  • Proficiency in chromatographic techniques (RP-HPLC, SEC, IEX, HILIC) and associated data analysis software (e.g., MassLynx, Xcalibur, Empower, BioPharma Finder, UNIFI).
  • Strong understanding of protein characterization (intact mass, peptide mapping, glycosylation, disulfide mapping) and/or nucleic acid analysis (RNA integrity, modification mapping, sequence confirmation).
  • Demonstrated ability to independently design experiments, interpret complex datasets, and communicate results clearly in written and oral formats.
  • Strong problem-solving skills and ability to manage multiple projects in a fast-paced environment.

Preferred Qualifications

  • Experience with lipid nanoparticle characterization and/or lipidomics by LC/MS.
  • Familiarity with mRNA and guide RNA analytical characterization (e.g., capillary electrophoresis, IP-RP-HPLC, LC/MS-based modification analysis).
  • Experience supporting GMP or GLP analytical activities, method validation per ICH guidelines (Q2/Q14), or contributing to regulatory submissions.
  • Knowledge of gene therapy or gene editing product development and associated analytical expectations.
  • Experience with mass spectrometry-based quantitative assays (e.g., MRM/SRM for lipid or protein quantitation).

Benefits

  • Competitive salary, equity, and comprehensive benefits package.
  • Opportunities for professional growth and leadership development.
  • Fast-paced, collaborative, and innovative work environment.
  • We offer an exceptional benefits package to include Medical, Dental, Vision, Life, Disability, a 401k Match of 4%, Paid Time Off and Equity.

How to Apply

Interested candidates shouldsubmittheir resume and a cover letter detailing relevant experience. To be considered for the role, applicants must be:

  • Eligible to work in the United States for any employer without current or future sponsorship.
  • Able to work onsite in our San Diego, CA lab.
  • Direct candidates only and not from a third party, i.e., staffing agency.

Equal Opportunity Employer

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Salary Range

$110,000 - $140,000