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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 ...

Unlearn

Clinical Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

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 ...

Unlearn

Clinical Data Scientist

San Francisco, CA · On-site

$140K - $160K/yr

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 ...

Unlearn.AI

Clinical Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

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 ...

Centrilliontech

Bioinformatics Analyst

Palo Alto, CA · On-site

$60 - $80/hr

You will perform data analysis and benchmark analytical algorithms, tools and pipelines ... We have two positions open - one entry level with BS degree required; and one mid-level with MS ...

Zymo Research

Bioinformatics Associate I

Irvine, CA · On-site

$80 - $100/hr

As part of the Bioinformatics team, you will leverage your skills and familiarity with NGS-based cutting-edge data science methods in data collection, analysis and statistical modeling for exciting ...

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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, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Scientist, Bio AI

Earli

Redwood City, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Earli is a BioAI therapeutics firm in Redwood City, California that programs cancer to turn against itself. They are seeking a Senior Scientist, Bio AI to join their Synthetic Bioengineering team, where the primary responsibilities include leveraging ML and bioinformatics to design cancer-specific synthetic promoters and contribute to the development of genetic medicines.
Responsibilities:
• Leverage cutting-edge ML, bioinformatics, and high-throughput assay data to design cancer-specific synthetic promoters and novel genetic medicines that will directly impact Earli’s clinical pipeline.
• Train generative AI models for designing genetic medicines by leveraging Earli’s proprietary Massively Parallel Reporter Assay (MPRA) data as well as external data sets
• Contribute to wet lab experimental design and data evaluation to benchmark AI model performance against ground truth wet lab data and create a rapid iteration loop
• Perform routine computational analyses to analyze MPRA and other large experimental datasets using existing packages as well as bespoke analysis where needed. Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members
• Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based pipelines to identify key dysregulated targets and pathways in selected cancer indications
• Routinely deploy code and execute on Earli’s infrastructure hosted by Cloud Service Providers (e.g. GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for GPU usage/compute
Qualifications:
Required:
• Master’s or PhD degree in a relevant field (bioengineering, computer science, data science, etc.) with a minimum of 3 years of hands-on experience using AI/ML applied to genomic/bioinformatic data using state-of-the-art GenAI models
• Deep, direct expertise (preferably with high-quality publications) in developing novel GenAI models trained on massive biological data. Hands-on expertise in model training, fine-tuning, and in silico evaluation is a pre-requisite for this role.
• An expert level of competence in data analysis on large and complex empirical data, such as MPRA data, multi-modal omics data, etc.
• Familiarity with and prior experience collaborating with wet lab scientists to generate and curate high-throughput screening data on large libraries of DNA or RNA sequences
• Proficiency in routine bioinformatic analyses such as differential gene expression, ATAC-seq and RNA-seq analysis, etc.
• Expert level coding skills in Python and R
• Basic knowledge of fundamental cancer biology is required.
• Excellent verbal and written communication as well as interpersonal skills are required
• Able to multi-task, manage multiple projects simultaneously and work effectively within a team
• Ability to think independently and fully integrate into a high achieving team environment
Preferred:
• Deep expertise in cancer -omics, biomarkers, targets and pathways
Company:
Earli develops genetic constructs for early cancer detection and targeted therapy. Founded in 2018, the company is headquartered in South San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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