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Quantitative Biology Jobs (NOW HIRING)

The Pennsylvania State University

NCEMS is an NSF-funded interdisciplinary research center positioned at the interface of data science, molecular and cellular biology, and quantitative physical sciences. The Center provides ...

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How much do quantitative biology jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative biology in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a quantitative biology?

A Quantitative Biology job involves applying mathematical, statistical, and computational techniques to analyze biological systems and interpret complex biological data. Professionals in this field work at the intersection of biology, data science, and engineering to model biological processes, develop algorithms, and analyze large-scale datasets, such as genomic or imaging data. These roles are common in academia, biotechnology, pharmaceuticals, and healthcare, contributing to advancements in areas like drug discovery, personalized medicine, and systems biology.

What kinds of projects does a quantitative biologist typically work on, and who do they collaborate with?

Quantitative Biologists often work on projects involving the analysis of large-scale biological data, such as genomics, proteomics, or ecological datasets, using mathematical and computational models to gain new scientific insights. They frequently collaborate with experimental biologists, data scientists, and software engineers to integrate diverse data sources and validate findings. The role may involve designing experiments, building predictive models, and contributing to publications or product development. Expect a dynamic team environment where interdisciplinary communication is key to solving complex biological problems.

What are the key skills and qualifications needed to thrive as a quantitative biologist, and why are they important?

To excel in Quantitative Biology, you typically need a strong background in biology, mathematics, statistics, and programming—often supported by an advanced degree in a related field. Proficiency with computational tools such as R, Python, MATLAB, and bioinformatics software is highly valued, and familiarity with data analysis platforms is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills enable collaboration across multidisciplinary teams. These skills are critical for developing models, interpreting complex biological data, and advancing research or product development in life sciences.

What can I do with a quantitative biology degree?

A degree in quantitative biology prepares individuals for roles such as bioinformatics analyst, computational biologist, or data scientist in research institutions, biotech companies, or healthcare organizations. It involves skills in data analysis, programming, and statistical modeling, often using tools like R or Python. Graduates can work in research, drug development, or personalized medicine, with opportunities for advanced roles requiring further specialization or certifications.
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Quantitative Biology jobs near you
Infographic showing various Quantitative Biology job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Postdoctoral Associate - Computational biology and Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 11 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Summary

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology.  This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The Postdoctoral Associate should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment for scientific and clinical research.

A Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development.

This position offers a highly collaborative, team-based setting with opportunities for advanced training, mentorship, and career development.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
  • Collaborates closely with experimental biologists and clinicians to design studies., validate computational findings, and support translational applications of research discoveries.
  • Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
  • Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
  • Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams.
  • Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.
  • Collaborates with experimental biologists and clinicians in the Cheng lab to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • Designs, analyses, interprets complex datasets, and translates findings into biologically meaningful insights within a multidisciplinary research environment. 
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • Experience in next-generation sequencing data and scRNA-seq data.

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