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Junior Bioinformatics information

What is a junior bioinformatics?

A Junior Bioinformatics job is an entry-level position that involves analyzing biological data using computational tools and techniques. Professionals in this role assist in tasks such as genome sequencing, protein structure analysis, and developing algorithms for biological research. They typically work in research institutions, biotech companies, or healthcare settings, collaborating with scientists and data analysts. Junior bioinformaticians are expected to have a background in biology, computer science, or a related field, along with proficiency in programming languages like Python or R. This role serves as a foundation for advancing into more specialized bioinformatics careers.

What does a junior bioinformatics do?

A typical day for a Junior Bioinformatics professional involves processing and analyzing biological data sets, using specialized software and coding scripts to interpret results. You’ll often collaborate closely with molecular biologists, data scientists, and other team members to support ongoing research projects. Tasks might include troubleshooting data pipelines, generating reports, and contributing to meetings that discuss research findings. The work environment is generally team-oriented and project-driven, offering opportunities to learn from experienced colleagues and gain hands-on experience with the latest technologies in genomics and data analysis.

What are the key skills and qualifications needed to thrive as a junior bioinformatics?

To thrive as a Junior Bioinformatics professional, you need a solid background in biology and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Galaxy, R, and Python, as well as experience with databases like GenBank, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills are important for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are critical for accurately analyzing biological data and contributing to research and development projects in life sciences.

What are the most commonly searched types of Bioinformatics jobs in California?

The most popular types of Bioinformatics jobs in California are:

What are popular job titles related to Junior Bioinformatics jobs in California?

For Junior Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Junior Bioinformatics jobs in California look for?

The top searched job categories for Junior Bioinformatics jobs in California are:

What cities in California are hiring for Junior Bioinformatics jobs?

Cities in California with the most Junior Bioinformatics job openings:

Junior Bioinformatics jobs near you
Infographic showing various Junior Bioinformatics job openings in California as of August 2026, with employment types broken down into 57% Full Time, 42% Part Time, and 1% Contract. Highlights an 41% Physical, 2% Hybrid, and 57% Remote job distribution.

Bioinformatics Manager (Oncology Product Development)

San Carlos, CA

Natera
Biotechnology Research and Development • 1 - 5K employees

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

56th of 120 rated laboratories

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Learn more about Nateraexternal

Full-time

Re-posted 10 days ago

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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