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From Home Biotechnology Bioinformatics Jobs (NOW HIRING)

... from research through commercial launch. * Supervise bioinformatics scientists and data scientists ... or biotechnology Desirable, but not required: * Prior experience analyzing or modeling DNA ...

Candidate will leverage advanced AI methodologies to extract actionable clinical insights from vast ... Knowledge of translational medicine and/or early discovery in the biotech or pharmaceutical ...

OR · On-site

Candidate will leverage advanced AI methodologies to extract actionable clinical insights from vast ... Knowledge of translational medicine and/or early discovery in the biotech or pharmaceutical ...

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... From our global network of research and development sites, we are committed to discovering and ...

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From Home Biotechnology Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do from home biotechnology bioinformatics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for from home biotechnology bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between From Home Biotechnology Bioinformatics vs From Home Molecular Biology?

AspectFrom Home Biotechnology BioinformaticsFrom Home Molecular Biology
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or related fieldsBachelor's or Master's in Molecular Biology, Genetics, or related fields
Work EnvironmentRemote, computer-based, often collaborativeRemote or lab-based, focus on lab techniques and experiments
Industry UsageResearch, healthcare, biotech companies, academiaResearch labs, healthcare, biotech, academic institutions
Common Search/ComparisonFrom Home Biotechnology Bioinformatics vs From Home Molecular Biology

While both roles often work remotely and require scientific backgrounds, From Home Biotechnology Bioinformatics focuses on data analysis, computational tools, and software, whereas From Home Molecular Biology emphasizes laboratory techniques, experiments, and genetic research. The choice depends on whether you prefer computational work or hands-on lab research within the biotech industry.

More about From Home Biotechnology Bioinformatics jobs
What cities are hiring for From Home Biotechnology Bioinformatics jobs? Cities with the most From Home Biotechnology Bioinformatics job openings:
What are the most commonly searched types of Biotechnology Bioinformatics jobs? The most popular types of Biotechnology Bioinformatics jobs are:
What states have the most From Home Biotechnology Bioinformatics jobs? States with the most job openings for From Home Biotechnology Bioinformatics jobs include:
Infographic showing various From Home Biotechnology Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Manager (Oncology Product Development)

Natera

San Carlos, CA

Full-time

Posted 20 days ago


Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

59th of 120 rated laboratories


Job description

Natera is currently seeking a Bioinformatics Manager to join the Bioinformatics team focused on Oncology Product Development. In this role, the individual will manage a team of Bioinformaticians and Data Scientists and provide technical leadership in the design, development and validation of ctDNA-based diagnostic tests. This position requires extensive cross-functional collaboration with biostatistics, molecular biology, software engineering and commercial departments. The ideal candidate will have a strong background in bioinformatics and data science, optimally with experience in the analysis or modeling of DNA methylation data, and an established record of project and technical leadership.

PRIMARY RESPONSIBILITIES:

  • Lead the effort to develop, optimize, and improve tools and analysis pipelines for diagnostic tests, including the detection of cancer-associated variants or methylation patterns and the implementation of evidence-based quality control thresholds.
  • Provide technical leadership for product development projects by representing the team in cross-functional interactions and moving products through the full development process, from research through commercial launch.
  • Supervise bioinformatics scientists and data scientists, managing their technical contributions, prioritizing resources, and taking responsibility for their technical and professional development.
  • Provide input on experiment design, analysis and interpretation based on expert understanding of Natera's technology and relevant mathematical principles.
  • Work at a high level of independence and responsibilities in carrying out assignments.
  • Contribute to our intellectual property portfolio.
  • Set standards for rigorous data analysis and lead the production of high-quality documentation. 

QUALIFICATIONS:

  • Master's degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar).
  • Minimum of 4-8 years of post-graduate experience in a data science and/or bioinformatics role and 1-3 years of experience as technical lead in diagnostics or a related field
  • Experience moving algorithm-based products through commercialization and launch in a medical or biological application such as diagnostic testing, medical imaging, or biotechnology

Desirable, but not required:

  • Prior experience analyzing or modeling DNA methylation data.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Experience using Python or R for scientific data analysis and visualization.
  • Strong foundation in statistical modeling/machine learning, including probability theory and estimation/classification methods.
  • Experience with analysis of next-generation sequencing data, preferably including algorithm development or optimization.
  • Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
  • Excellent analytical, problem-solving and decision-making skills to independently make sound judgments and find creative solutions to moderately complex problems.
  • Experience leading technical projects, including defining and meeting project milestones, delegating tasks to more junior team members, and ensuring the quality of technical deliverables.
  • Excellent communication skills and the desire to work in a dynamic and collaborative environment.

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