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Live In Msc Bioinformatics Jobs in California (NOW HIRING)

Bioinformatics Scientist - III Location: 3050 Science Park Road, San Diego, CA Rate: $75-85/HR ... How many years of exp in network and systems biology Q5: How far you live from 3050 Science Park ...

Bioinformatics Scientist - III Location: 3050 Science Park Road, San Diego, CA Rate: $75-85/HR ... How many years of exp in network and systems biology Q5: How far you live from 3050 Science Park ...

... to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we ... in Business, Computer Science, Data Science or Bioinformatics or similar. * 10+ years leading Data ...

... to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we ... in Business, Computer Science, Data Science or Bioinformatics or similar. * 10+ years leading Data ...

... to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we ... in Business, Computer Science, Data Science or Bioinformatics or similar. * 10+ years leading Data ...

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Live In Msc Bioinformatics information

What is the difference between Live In Msc Bioinformatics vs Live In Msc Data Science?

AspectLive In Msc BioinformaticsLive In Msc Data Science
Required CredentialsMaster's in Bioinformatics or related fieldMaster's in Data Science, Computer Science, or related field
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, consulting, research
Industry UsageHealthcare, genomics, pharmaceuticalsTechnology, finance, marketing
Common Search IntentBioinformatics roles, research positionsData analysis, machine learning roles

Live In Msc Bioinformatics focuses on biological data analysis, genomics, and healthcare applications, often in research or biotech settings. In contrast, Live In Msc Data Science covers broader data analysis skills applicable across industries like finance, tech, and marketing. Both roles require advanced degrees but serve different industry needs and environments.

What jobs can you get with a master's in bioinformatics?

A master's in bioinformatics prepares individuals for roles such as bioinformatics analyst, research scientist, computational biologist, or data scientist in healthcare, pharmaceuticals, or biotech companies. These positions often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, or SQL.

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

The most popular types of Msc Bioinformatics jobs in California are:

What are popular job titles related to Live In Msc Bioinformatics jobs in California?

For Live In Msc Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Live In Msc Bioinformatics jobs in California look for?

The top searched job categories for Live In Msc Bioinformatics jobs in California are:

What cities in California are hiring for Live In Msc Bioinformatics jobs?

Cities in California with the most Live In Msc Bioinformatics job openings:

Infographic showing various Live In Msc Bioinformatics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Senior Bioinformatics Scientist

AA2IT

San Diego, CA • On-site

$75 - $85/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Bioinformatics Scientist - III

Location: 3050 Science Park Road, San Diego, CA Rate: $75-85/HR

Education:

  • Minimum qualification: Master's degree with 4+ years of experience in computational biology, bioinformatics or related fields.
  • Advance degree- PhD in computational biology, bioinformatics, or related fields.

Required experience and skills:

  • Experience in biotech or pharmaceutical industries is a plus.
  • Advanced skills in a high-level programming language such as R or Python for data analysis and visualization.
  • Expertise in downstream analysis for common NGS data types, such as WGS/WES/panel-seq, bulk RNA-seq, single-cell RNAseq and spatial transcriptomics (experience in building NGS pipelines is not required but is a plus).
  • Basic understanding of disease biology and molecular/cellular mechanisms in immunology.
  • Expertise in network and systems biology is required.
  • Expertise in contemporary machine-learning/AI methods is a plus.

Personality: Are you a computational biologist with a passion for unraveling the complexities of the immune system?

If you have a strong foundation in bioinformatics, 'omics analysis, network biology, and systems biology, along with a deep understanding of molecular and cellular immunology, we'd love to hear from you. Your work will be instrumental in driving precision medicine and drug development by dissecting the molecular mechanisms underlying immune-mediated diseases. We welcome applications from individuals with a track record of innovative translational research in immunology, regardless of their current setting (clinical, academic, or industrial).

Note: 100% onsite role. Remote working candidates will not be considered. Positions available: 2

Responsibilities:

  • Use computational methods to identify molecular subtypes with unmet need in immune mediated diseases.
  • Conduct in-depth analyses to uncover the key biological functions and disease mechanisms driving disease subtypes.
  • Collaborate with multi-disciplinary teams to pinpoint potential therapeutic targets.
  • Contribute to accurately represent key disease states in model systems and other validation scenarios.
  • Work closely with discovery immunology teams in the iterative process of validation of therapeutic candidates and/or mechanistic hypotheses.
  • Summarize your findings and report conclusions to Client stakeholders.

MUST HAVE:

  • Working closely with collaborator in San Diego. Quick discussion onsite in real time. Work environment is face to face, so need person onsite. Collaborating with different groups onsite is must.
  • Interested candidate to share your resume and answers to below question: Q1: How many years of exp in computational biology, bioinformatics or related fields. Q2: How many years of exp in biotech or pharmaceutical industries Q3: How many years of exp in downstream analysis for common NGS data types, such as WGS/WES/panel-seq, bulk RNA-seq, single-cell RNAseq and spatial transcriptomics (experience in building NGS pipelines is not required but is a plus). Q4: How many years of exp in network and systems biology Q5: How far you live from 3050 Science Park Road, San Diego, CA and how will you commute daily