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Entry Level Bioinformatics Data Scientist Jobs in California

Earli

Senior Scientist, Bio AI

Redwood City, CA · On-site

They are seeking a Senior Scientist, Bio AI to join their Synthetic Bioengineering team, where the ... Responsibilities : • Leverage cutting-edge ML, bioinformatics, and high-throughput assay data to ...

BeiGene USA

Senior Scientist, Bioinformatics

San Carlos, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate will have extensive technical expertise in clinical biomarker data analysis and ... Serve as the lead bioinformatics scientist of the internal drug discovery and development programs ...

Moffitt Cancer Center

$77K - $117K/yr

Computer Science, Data Science, Statistics, Biostatistics, Mathematics, Bioinformatics, Biomedical Engineering, Computer Engineering, Electrical Engineering, Informatics, or a related quantitative ...

New

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Strong experience in data science, bioinformatics, computational biology, or a related field * Experience working with biological knowledgebases, public datasets, or ontology driven systems

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Strong experience in data science, bioinformatics, computational biology, or a related field * Experience working with biological knowledgebases, public datasets, or ontology driven systems

Unlearn

Clinical Data Scientist

San Francisco, CA · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Requirements * BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline. * 2+ years of experience wrangling data from disparate sources, data ...

BillionToOne

Data Scientist, Prenatal

Menlo Park, CA

  • Medical

  • Retirement

  • PTO

At BillionToOne, our data scientists are full-stack: the team contributes across the entire ... Familiarity with bioinformatics, molecular diagnostics, or the broader healthcare landscape ...

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

Quantiply Corporation

Data Scientist

San Jose, CA

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

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All JobsBioinformatics Data Scientist JobsEntry Level Bioinformatics Data Scientist JobsEntry Level Bioinformatics Data Scientist Jobs in California

Entry Level Bioinformatics Data Scientist information

What does an entry level bioinformatics data scientist do?

An Entry Level Bioinformatics Data Scientist applies computational and statistical techniques to analyze biological data, such as DNA sequences or gene expression profiles. They work with large datasets to identify patterns, generate insights, and contribute to research in fields like genomics, drug discovery, or personalized medicine. Their tasks often include data cleaning, developing algorithms, running analyses, and visualizing results for scientific teams. They typically collaborate with biologists, statisticians, and software engineers to solve complex biological problems.

What are the key skills and qualifications needed to thrive as an entry level bioinformatics data scientist?

To thrive as an Entry Level Bioinformatics Data Scientist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools like BLAST or Bioconductor, and knowledge of data analysis platforms are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualifications are essential for accurately analyzing biological data, generating meaningful insights, and contributing to research or clinical projects.

What are some typical challenges faced by entry level bioinformatics data scientists during their first year on the job?

Entry level bioinformatics data scientists often encounter challenges such as adapting to complex biological datasets, learning to use specialized bioinformatics tools, and understanding the nuances of interdisciplinary collaboration with biologists and clinicians. Balancing data analysis with ongoing skill development in programming and statistics is another common hurdle. However, most teams provide mentorship and training to help new hires acclimate and build confidence in tackling real-world research problems.

What is the difference between Entry Level Bioinformatics Data Scientist vs Entry Level Bioinformatics Analyst?

AspectEntry Level Bioinformatics Data ScientistEntry Level Bioinformatics Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, Computer Science; some roles prefer internships or certificationsBachelor's in Bioinformatics, Biology, or related field; similar educational background
Work EnvironmentResearch labs, biotech companies, healthcare institutions, academic settingsResearch labs, healthcare, biotech firms, academic institutions
Employer & Industry UsageUsed in biotech, pharma, healthcare, research institutionsCommon in research, healthcare, biotech sectors

Both roles require similar educational backgrounds and work environments, focusing on analyzing biological data. The main difference is that a Bioinformatics Data Scientist often involves more advanced data modeling, machine learning, and statistical analysis, whereas a Bioinformatics Analyst typically concentrates on data processing, visualization, and reporting. Entry Level Bioinformatics Data Scientists tend to handle more complex computational tasks, but both roles serve essential functions in biological research and industry applications.

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

The most popular types of Bioinformatics Data Scientist jobs in California are:

What are popular job titles related to Entry Level Bioinformatics Data Scientist jobs in California?

For Entry Level Bioinformatics Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Bioinformatics Data Scientist jobs in California look for?

The top searched job categories for Entry Level Bioinformatics Data Scientist jobs in California are:

What cities in California are hiring for Entry Level Bioinformatics Data Scientist jobs?

Cities in California with the most Entry Level Bioinformatics Data Scientist job openings:

Entry Level Bioinformatics Data Scientist jobs near you
Infographic showing various Entry Level Bioinformatics Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Bioinformatics Scientist

EdenRoc Sciences

Scotts Valley, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Dovetail Genomicsis an EdenRoc Sciences startup company based in Santa Cruz, CA developing cutting-edge genomics technologies for vastly improving genome assembly, uncovering critical structural variation information, as well as many applications for studying epigenetics. We are a diverse, talented, multi-disciplinary team innovating in the field of genomics, with the goal of leaving a lasting impact on the world by providing researchers and clinicians with tools for better informing biological understanding.


This role is located in Scotts Valley offices as we find one-on-one in person collaboration very valuable.

We are looking for an outstandingBioinformatics Scientisttodrivedevelopment of newclinicalapplications ofthe proximity ligation technology created by Dovetail Genomics. The ideal candidate will have a proven track record of developing advanced NGS-based analytical methods,ideallywith a focus on cancer genomics. Prior experience with proximity ligation (Hi-C) is not required, but it is expected that it will bepicked upquickly.He/she should be driven bydeveloping impactfulproducts andenjoy working ina multi-disciplinary environment. This position will interact closely with colleagues in computational biology,molecular biology,commercial, and finance.

The roleofBioinformatics Scientist requires a high level of scientific accomplishment, innovative thinking, and entrepreneurial spirit.Individuals applying for this position must becreative,self-starters, strategic thinkers, action-oriented, flexible in changing direction and methods, thrive in a fast-paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contributionwith a minimum of hands-on supervision.

Key Responsibilities

  • Investigate and drive the development of novel analytical methods that leverage large Hi-C datasets to enable new products and services.
  • Collaborateclosely withmulti-disciplinaryR&Dteams on assay development & benchmarking.
  • Support production & commercial development teams with data analysis and interpretation.
  • Regularly present your work both internally and externally, effectively communicating your methods and results to audiences with diverse scientific and non-scientific backgrounds.
  • Contribute and author bioinformatics-focused white papers, posters, and publications.

SkillsAndBackground

  • PhD inbioinformatics, computational biology, or equivalent. Postdoctoral and/or industry experienceis a major plus.
  • Experience developing and implementing novel bioinformatics algorithms and pipelines.
  • Extensive experience processing, integrating, and visualizing large, multi-omics datasets (WGS, RNA-Seq, etc.).
  • Proficiency with agentic AI for robust code development and scientific workflows.
  • Experience with the human pangenome and pangenome-based analysis is a plus.
  • Expertise in Python programming and demonstrated ability to learn and adopt bioinformatics techniques and resources.
  • Experience developing within a Linux-based cloud-computing environment (AWS preferred).
  • Ability to quickly become an expert in new fields.
  • Exceptional technical depth incancergenomics, cancerbiology, oncology,or similar.
  • Excellent written, presentation, and verbal communication skills.

As a full-time Dovetail Genomics employee, you will receive Fortune 500 level benefits including comprehensive medical, dental, and vision coverage, life and disability insurance, matching 401k plan, and generous paid time off. You will work in a beautiful facility nestled in the Santa Cruz Mountains with walking paths and on-site health club.

Dovetail Genomics is an equal opportunity employer. We are not accepting phone calls related to open positions - candidates that meet our requirements will be contacted directly. No recruiters please

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