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$20

$41

$64

How much do epigenetic scan jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for epigenetic scan in the United States is $41.66, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $51.20 per hour, depending on experience, location, and employer.

What is an epigenetic scan?

An Epigenetic Scan job typically involves analyzing epigenetic markers—chemical modifications to DNA that influence gene expression without altering the DNA sequence. Professionals in this role use advanced laboratory techniques and bioinformatics tools to study how environmental factors, lifestyle choices, and aging impact gene activity. Their findings can contribute to research in health, disease prevention, and personalized medicine by identifying biomarkers for conditions such as cancer, autoimmune disorders, or neurological diseases.

What are the typical daily responsibilities of someone performing epigenetic scans?

As an Epigenetic Scan specialist, your daily tasks often include preparing biological samples, performing molecular assays such as DNA methylation or histone modification analyses, and operating sequencing platforms. You will also be responsible for processing and interpreting sequencing data using bioinformatics software, maintaining detailed lab records, and ensuring quality control throughout all steps. Collaboration with research scientists, clinical staff, and technical teams is common, so strong communication skills are helpful. This role provides a hands-on opportunity to work at the forefront of epigenetics, supporting research studies or diagnostic applications that may have clinical impact.

What are the key skills and qualifications needed to thrive in the epigenetic scan position, and why are they important?

To thrive in an Epigenetic Scan role, a strong background in molecular biology, genetics, or biomedical sciences—often supported by an advanced degree—is essential. Experience with next-generation sequencing (NGS) technologies, PCR, and analytical bioinformatics platforms is typically required, along with relevant laboratory certifications. Attention to detail, problem-solving abilities, and effective collaboration skills are highly valued in this position. These qualifications ensure accurate data generation, successful project execution, and smooth teamwork in complex research or clinical environments.

Can you get a degree in epigenetic scan?

Epigenetic scan is a specialized technique used in genetics and molecular biology, not a standalone degree. To work in this field, individuals typically pursue degrees in genetics, biology, or bioinformatics, and may obtain certifications or training in epigenetic analysis tools and methods. Formal education programs directly titled 'epigenetic scan' are uncommon; instead, relevant knowledge is gained through advanced degrees and laboratory experience.

How to become an epigenetic scan researcher?

To become an epigenetic scan researcher, individuals typically need a bachelor's degree in genetics, molecular biology, or a related field, followed by advanced training such as a master's or Ph.D. in epigenetics or genomics. Developing skills in laboratory techniques, bioinformatics, and data analysis, along with experience using tools like DNA sequencing and epigenetic profiling platforms, is essential for this role.

What careers involve epigenetic scan?

Careers involving epigenetic scan include roles such as molecular biologist, geneticist, bioinformatician, and laboratory technician. These positions typically require knowledge of genetics, experience with laboratory techniques, and familiarity with genomic analysis tools. They are often found in research institutions, biotech companies, and healthcare settings focused on genetic and epigenetic research.
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What are the most commonly searched types of Epigenetic Scan jobs?

The most popular types of Epigenetic Scan jobs are:

What job categories do people searching Epigenetic Scan jobs look for?

The top searched job categories for Epigenetic Scan jobs are:

Epigenetic Scan jobs near you
Infographic showing various Epigenetic Scan job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,661 per year, or $41.7 per hour.

Scientist, Computational Biology Scientist, Computational Biology Colossal Biosciences In-perso[...]

Seeds Renewables

Dallas, TX • On-site

$85 - $115/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Scientist, Computational Biology

Colossal Biosciences In-person · Dallas, TX, US 2 days ago

Job Description

An Affiliate of Colossal is seeking a talented computational biologist with strong analytical skills to tackle challenging genotype-to-phenotype questions. The successful candidate will collaborate with scientists and engineers to design and perform bioinformatics analyses and integrate genomic, epigenomic, transcriptomic, and proteomic datasets to support de‑extinction efforts. The candidate must have experience in bioinformatics, computational biology, statistics, or comparative genomics.

Preference will be given to candidates with a PhD who have demonstrated experience leveraging and interpreting machine learning / artificial intelligence frameworks to link genotype and phenotype using diverse comparative or functional genomic data and information in data‑sparse or non‑model organisms.

This position will be based on‑site in our Dallas, TX headquarters. Relocation assistance is available.

Duties and Responsibilities
  • Build machine learning or artificial intelligence models using diverse, integrative datasets
  • Run comparative, functional, and statistical genomics analysis
  • Run data analysis with biological data
  • Develop new tools in R/Python for data analysis and visualization
  • Curate and document raw and intermediate data and analysis software
  • Prepare reports and presentations to communicate findings to wet‑bench biologists and leadership
Required Skills and Abilities
  • Two years of bioinformatics experience in the following areas: Applied Statistics or Machine Learning / Artificial Intelligence in Genomics, Comparative Genomics, Functional Genomics / Multi‑Omics, or Molecular Evolution.
  • Demonstrated ability building and training ML/AI models linking genotype and phenotype (e.g., sequence‑to‑function models) and experience with the popular libraries like Pytorch, Tensorflow, or OpenCV.
  • Capable of leveraging and integrating knowledge across multiple levels of biological organization to validate the outputs of complex analyses.
  • Demonstrated 2 years of experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java, and BASH.
  • Ability to write and run custom bioinformatics scripts using existing published tools and occasionally tools developed to summarize the results in a digestible manner and deliver the information using established reporting procedures.
  • Proficiency with handling large‑scale genomic data in an HPC (SGE, SLURM, PBS) Linux and/or cloud environment (e.g., AWS, Google Cloud, Azure).
  • Experience in using GIT version control software and maintaining well‑documented, reproducible notebooks and workflows.
  • Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) and connect with visual platforms to curate and share data with non‑bioinformatics team members.
Preferred Skills and Abilities
  • Developing or implementing AI/ML frameworks and systems biology networks (e.g., interpretable or visible deep neural networks like GenNet) for genotype‑to‑phenotype and functional predictions.
  • Executing rigorous analyses of diverse functional epigenomics approaches (e.g., RNA‑seq and ATAC‑seq) and integrating multi‑omics datasets to aid in understanding of gene expression regulation.
  • Performing evolutionary and statistical genomics analyses, including population genetics analysis (e.g., runs of homozygosity and association mapping), genome‑wide scans for evolutionary signatures and selective sweeps, and comparative genomics analyses associating genotype and phenotype (e.g., PAML inference of molecular evolution and phylogenetic regression).
  • Constructing, interpreting, and utilizing pangenome graphs, whole genome alignments, and gene homology relationships.
  • Calling germline and somatic sequence variants from high‑coverage WGS, low‑coverage WGS with imputation, and sequencing libraries from degraded or ancient DNA.
  • Statistical planning and collaboration with laboratory scientists on designing well‑powered experiments to generate useful multi‑omics data sets.
  • Understanding of precision gene editing technologies like CRISPR/Cas9 systems.
Education and Experience
  • Masters with 2 years of relevant post‑graduation work experience or PhD in quantitative or basic science (computer science, computational biology, bioinformatics, chemistry, physics, or mathematics/statistics preferred) is required.
What Colossal Offers Full‑Time Employees
  • Medical, dental, and vision coverage
  • Excellent paid time off and company holidays so you can rest and recharge
  • Flexible spending accounts (FSA)
  • Company matched 401k retirement plan
  • Paid parental leave at 100% salary for up to 12 weeks
  • Education reimbursement
  • An opportunity to help us return the Earth to a healthier state

Colossal is proud to be an equal employment opportunity workplace. We welcome people from all backgrounds as well as celebrate and support diversity. We are committed to providing an inclusive environment of mutual respect that is free from discrimination and harassment so everyone can thrive.

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