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Full Time Bioinformatics Jobs in California (NOW HIRING)

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Full Time Bioinformatics information

What is the difference between Full Time Bioinformatics vs Part Time Bioinformatics?

AspectFull Time BioinformaticsPart Time Bioinformatics
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
Employment StatusFull-time employeePart-time employee or contractor
CredentialsUsually requires a degree in bioinformatics, biology, or related fieldSame credentials as full-time, but flexible
Work EnvironmentResearch labs, biotech companies, academic institutionsFreelance, consulting, or remote roles

Full Time Bioinformatics roles involve consistent, full-week employment with benefits and a structured schedule, often in research or industry settings. Part Time Bioinformatics offers flexible hours, suitable for those balancing other commitments, but may have less job security and fewer benefits. Both roles typically require similar educational backgrounds and skills, but differ mainly in hours and employment structure.

Is full time bioinformatics currently in demand?

Full time bioinformatics positions are in high demand due to the growth of genomics, personalized medicine, and data-driven research in healthcare and biotech industries. Skills in programming, data analysis, and familiarity with tools like R and Python increase employability, with many roles available in research institutions, pharmaceutical companies, and biotech firms.

Is full time bioinformatics still a viable career?

Full time bioinformatics is a viable career due to ongoing advancements in genomics, personalized medicine, and data analysis. Professionals in this field often require skills in programming, statistics, and biological sciences, with demand growing in healthcare, research, and biotech industries.

What jobs can you get with full time bioinformatics?

Full-time bioinformatics positions include roles such as bioinformatics analyst, computational biologist, research scientist, and bioinformatics engineer. These jobs typically require skills in programming, data analysis, and understanding of biological data, often utilizing tools like R, Python, and genomic databases. They are commonly found in research institutions, biotech companies, pharmaceutical firms, and healthcare organizations.

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

The most popular types of Bioinformatics jobs in California are:

What cities in California are hiring for Full Time Bioinformatics jobs?

Cities in California with the most Full Time Bioinformatics job openings:

Full Time Bioinformatics jobs near you

Bioinformatics Scientist - Population Genomics

Centrillion Biosciences, Inc.

Palo Alto, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Company Description
Centrillion is creating transformative genomic technologies leveraging engineering and biochemistry breakthroughs to accelerate discovery and reveal the real genome that has thus far been obscured by its complexity and the limitations of existing technologies. Our team of scientists and engineers is committed to making a new generation of genomic technologies accessible and affordable for a multitude of previously unapproachable apps. Centrillion is backed by venture capital and strategic investors and is located at Palo Alto, CA, at the innovation center of Silicon Valley and close to Stanford University.
Job Description
Centrillion has an immediate opening for a full-time Bioinformatics Scientist specializing in Population Genomics. We're looking for an energetic, innovative, and motivated person who works well independently and on teams. The ideal candidate will have experience working with NGS data and solving population genomics problems. The role will involve collaborating with other scientists and product development teams, so strong communication skills are a must.
  • Work within a fast-paced, collaborative environment with small teams working on a variety of projects ranging from new product development to DNA data analysis
  • Develop and apply new population genomics algorithms tailored to the company's new and existing products
  • Guide future product development based on advances in the field of population genomics

Qualifications
  • Strong background in mathematics/statistics/bioinformatics with a degree in a related field.
  • Strong analytical, coding, communication, and organizational skills
  • Experience with population genomics methods, including building models for population classification using allele frequency data
  • Proficiency in at least one modern programming language
  • Experience analyzing NGS data sets

Additional Information
All your information will be kept confidential according to EEO guidelines.

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