ZipRecruiter

Log In

1

On Call Bioinformatics Machine Learning Jobs (NOW HIRING)

UNAVAILABLE

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

Bruker Corporation

Scientist, Bioinformatics

... machine-learning or deep-learning models (training, evaluation, and deployment), particularly applied to imaging or single-cell data. • Ability to communicate, educate and engage wet lab scientists ...

Bruker

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

next page

Showing results 1-20

All JobsOn Call Bioinformatics Machine Learning Jobs

On Call Bioinformatics Machine Learning information

See salary details

$9

$31

$52

How much do on call bioinformatics machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for on call bioinformatics machine learning in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $50.48 per hour, depending on experience, location, and employer.

What are the typical responsibilities and collaboration expectations for an On Call Bioinformatics Machine Learning professional?

As an On Call Bioinformatics Machine Learning specialist, you can expect to handle urgent data analyses, troubleshoot computational pipelines, and provide rapid support for ongoing research projects. You will frequently collaborate with biologists, data scientists, and IT teams to ensure that machine learning models are running smoothly and producing reliable results. Flexibility is key, as you may be called upon to resolve issues outside standard hours or to quickly adapt to shifting project priorities. This role also offers opportunities to contribute to process improvements and gain exposure to cutting-edge bioinformatics tools.

What are the key skills and qualifications needed to thrive as an On Call Bioinformatics Machine Learning specialist, and why are they important?

To thrive as an On Call Bioinformatics Machine Learning specialist, you need a strong background in computational biology, statistics, and machine learning, often supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience using bioinformatics databases, and knowledge of cloud computing platforms are typically required, along with relevant certifications in data science or machine learning. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating with interdisciplinary teams and responding quickly to urgent issues. These skills are important for delivering rapid, accurate analyses and solutions in a dynamic and complex research environment.

What is an On Call Bioinformatics Machine Learning professional?

An On Call Bioinformatics Machine Learning professional is someone who provides expertise in applying machine learning techniques to biological and biomedical data, often on an as-needed or emergency basis. They analyze complex biological datasets, such as genomics or proteomics information, to extract meaningful insights using advanced computational methods. Typically, these professionals may be brought in to troubleshoot, optimize pipelines, or solve urgent data analysis challenges when internal teams need immediate support.
More about On Call Bioinformatics Machine Learning jobs
What are the most commonly searched types of Bioinformatics Machine Learning jobs? The most popular types of Bioinformatics Machine Learning jobs are:
What job categories do people searching On Call Bioinformatics Machine Learning jobs look for? The top searched job categories for On Call Bioinformatics Machine Learning jobs are:
On Call Bioinformatics Machine Learning jobs near you

Senior Scientist, Bioinformatics

Kenai Therapeutics

San Diego, CA

$140K - $155K/yr

Full-time

Posted 19 days ago

Job description

Kenai Therapeutics is seeking a skilled and versatile computational biologist to join our highly collaborative, multidisciplinary, and dynamic team advancing next-generation allogeneic cell therapies for neurological diseases. As Senior Scientist of Bioinformatics, the ideal candidate will drive computational analysis and pipeline development across CMC and research programs. This candidate brings scientific rigor, deep hands-on expertise in single-cell and multiomics analysis, and a strong foundation in statistics and machine learning to generate actionable insights that inform therapeutic decision-making. This role requires exceptional technical skills, a proven ability to communicate complex findings across scientific disciplines, and a desire to thrive in a small, fast-moving organization where flexibility and initiative are essential.

Key Responsibilities:

  • Design, implement, and maintain scalable, reproducible pipelines for single-cell RNA-seq, spatial transcriptomics, and integrative multiomics data analysis, from raw data through biological interpretation
  • Apply statistical modeling and machine learning approaches to large-scale omics datasets to identify biomarkers, characterize cellular heterogeneity, and aid process development
  • Leverage AI-based tools and platforms to accelerate research workflows, automate analyses, and enhance software development productivity
  • Perform complex data interpretation across modalities (scRNA-seq, genomics, spatial omics, proteomics) and translate findings into actionable insights for programs and leadership
  • Partner closely with manufacturing and research teams to align computational efforts with therapeutic objectives and program priorities
  • Contribute to data infrastructure strategy, supporting robust systems for data storage, integration, traceability, and long-term analytics
  • Communicate results effectively through internal presentations, and cross-functional meetings; distill complex analyses into clear narratives for diverse audiences.

Requirements

  • Ph.D. in bioinformatics, computational biology, genomics, statistics, or a related quantitative discipline with 3+ years of relevant industry experience
  • Self-motivated, hardworking, and adaptable
  • Strong foundation in statistics and machine learning, including supervised and unsupervised methods, dimensionality reduction, and model evaluation
  • Deep hands-on experience with single-cell analysis frameworks (e.g., Scanpy, Seurat, scVI) and associated workflows across the full analytical lifecycle
  • Strong proficiency in Python and R for data analysis, visualization, and pipeline development; Javascript experience is a plus
  • Demonstrated experience supporting drug discovery and development programs with computational and bioinformatic analyses
  • Proficiency in utilizing AI and large language model-based tools for research acceleration and software development
  • Excellent written and verbal communication skills, including the ability to present complex technical work to both computational and non-computational audiences
  • Strong team player with a collaborative mindset and a commitment to working in a small, tight-knit, and high-performing team environment

Preferred

  • Background in neuroscience, developmental biology, or related areas of disease biology
  • Experience in cell therapy research, manufacturing analytics, or related cell-based therapeutic modalities
  • Familiarity with spatial transcriptomics platforms (e.g., 10x Visium, Xenium, MERFISH) and integrative multiomics approaches
  • Track record of scientific contributions evidenced by peer-reviewed publications, patents, or conference presentations

Benefits

Kenai Therapeutics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The salary range for this position is $140,000 USD to $155,000 USD annually. This salary range is an estimate, and the actual salary may vary based on experience and/or the Company's compensation practices.

Apply