ZipRecruiter

Log In

1

From Home Nucleic Acid Jobs (NOW HIRING)

Pilgrim

Scientist

Redwood City, CA · On-site

Build and refine methods for lysis, nucleic acid extraction, purification, concentration, amplification, and sequencing preparation, maximizing recovery of low-abundance targets from complex ...

Natera

Staff Scientist, R&D

South San Francisco, CA

Leads Signatera and Oncology projects to create and develop novel nucleic acid based diagnostic tests; including planning, feasibility testing, protocol development, feasibility, optimization, and ...

next page

Showing results 1-20

All JobsNucleic Acid JobsFrom Home Nucleic Acid Jobs

From Home Nucleic Acid information

See salary details

$66.5K

$110.5K

$164.5K

How much do from home nucleic acid jobs pay per year?

As of Aug 8, 2026, the average yearly pay for from home nucleic acid in the United States is $110,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Nucleic Acid vs From Home Laboratory Technician?

AspectFrom Home Nucleic AcidFrom Home Laboratory Technician
Required CredentialsBasic training in sample collection, certification varies by employerTypically requires a laboratory technician certification or relevant degree
Work EnvironmentRemote, primarily sample collection and processing instructionsRemote or in a lab setting, performing tests and equipment handling
Industry UsageCommon in health testing and diagnostics companiesUsed across clinical labs, research facilities, and diagnostics companies

From Home Nucleic Acid roles focus on sample collection and processing instructions remotely, often requiring minimal certification. In contrast, From Home Laboratory Technicians perform testing and analysis, usually needing formal lab certifications. Both roles are integral to health diagnostics but differ in credentials and daily tasks.

More about From Home Nucleic Acid jobs
What cities are hiring for From Home Nucleic Acid jobs? Cities with the most From Home Nucleic Acid job openings:
What are the most commonly searched types of Nucleic Acid jobs? The most popular types of Nucleic Acid jobs are:
What states have the most From Home Nucleic Acid jobs? States with the most job openings for From Home Nucleic Acid jobs include:
What job categories do people searching From Home Nucleic Acid jobs look for? The top searched job categories for From Home Nucleic Acid jobs are:
From Home Nucleic Acid jobs near you
Infographic showing various From Home Nucleic Acid job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $110,545 per year, or $53.1 per hour.

ML Scientist I/II, Nucleic Acid Design

Lila Sciences

San Francisco, CA

Full-time

Posted 11 days ago

Job description

Your Impact at LILA

Lila Sciences is seeking an ML Scientist I/II, Nucleic Acid Design to advance RNA and DNA sequence design. This scientist will develop models and design strategies for understanding and engineering nucleic acid sequences, including problems such as 3' UTR optimization, 5' UTR optimization, CDS optimization, and promoter / enhancer design.

You'll work at the intersection of machine learning, sequence modeling, experimental design, and platform development. The work spans both applied design campaigns and building next-generation models that improve how Lila generates, evaluates, and learns from nucleic acid sequence-function data.

The ideal candidate brings strong ML judgment, curiosity about biological mechanisms, and enthusiasm for areas such as regulatory genomics, RNA biology, and sequence-to-function modeling. You'll collaborate with experimental scientists, ML researchers, and platform teams to build models that connect nucleic acid sequence design to biological function and make these capabilities usable across Lila's autonomous science platform.

What You'll Be Building

  • Build ML models for RNA and DNA sequence design across regulatory and coding sequence contexts.
  • Develop methods spanning de novo generation, sequence property prediction, diverse set selection for experimental validation, and active learning strategies.
  • Deeply investigate the biological mechanisms of designed sequences and propose hypotheses about why they succeed or fail. Turn these insights into better models and future design principles.
  • Partner with experimental scientists to propose informative assays, validation strategies, and learning loops.
  • Collaborate with ML scientists and engineers across Lila to integrate nucleic acid design models into robust platforms and agent-driven frameworks.
  • Stay current with research in nucleic acid biology, sequence design, and scientific ML, and share research findings externally through papers or blog posts.

What You'll Need to Succeed

  • PhD or equivalent experience in machine learning, computational biology, bioengineering, computer science, statistics, or a related quantitative field.
  • Hands-on experience building, training, and evaluating ML models for DNA or RNA.
  • Strong foundation in modern ML methods, with practical experience using frameworks such as PyTorch, JAX, or equivalent tools.
  • Experience developing models for sequence design, sequence-function prediction, generative modeling, or active learning.
  • Ability to reason about complex biological systems, scope ambiguous scientific problems, and formulate ML approaches that address difficult sequence-function challenges.
  • Curiosity about nucleic acid biology, including RNA biology, regulatory genomics, or related sequence-to-function problems.
  • Strong communication and collaboration skills, with a preference for team-based science and the ability to build shared technical direction across ML, engineering, platform, and experimental teams.

Bonus Points For

  • Experience with regulatory element design, sequence-to-expression DNA models, or models trained on genomic, MPRA, STARR-seq, or related functional genomics data.
  • Experience with RNA sequence-function modeling, RNA secondary structure modeling, UTR design, or inverse design methods for RNA sequences.
  • Experience with sequence design in applied therapeutic contexts.
  • Experience collaborating with wet-lab teams to close the design-test-learn loop, including assay design, experimental prioritization, and interpretation of validation data.
  • Familiarity with high-throughput experimental datasets, pooled screens, reporter assays, or other sequence-function measurements.
  • Industry experience translating ML research into practical biological design workflows, experimental campaigns, or platform capabilities.

Apply