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BIOINFORMATICS SCIENTIST

Woburn, MA

Company Description Qualifications * BS/MS in computer science, bioinformatics, or related field * 1+ year(s) experience analyzing next-generation sequencing data * Recent coding experience with a ...

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How much do bioinformatics scientist jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for bioinformatics scientist in the United States is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $62.50 per hour, depending on experience, location, and employer.

What is a Bioinformatics Scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

What is the salary of a bioinformatics scientist?

The salary of a bioinformatics scientist typically ranges from $70,000 to $120,000 annually, depending on experience, education, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in programming, data analysis, and bioinformatics tools can earn higher salaries.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

What biology jobs pay over $100k?

Bioinformatics scientists and related roles such as computational biologists, genomic data scientists, and senior research scientists often earn over $100,000 annually, especially with advanced degrees and experience. These positions typically require strong programming skills, knowledge of biological data analysis, and familiarity with tools like R, Python, or SQL.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics scientists. Professionals in this field use AI alongside programming, statistical skills, and domain knowledge to interpret complex biological data. Human expertise remains essential for designing experiments, validating results, and making critical decisions.

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

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

How do Bioinformatics Scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.
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Bioinformatics Scientist jobs near you
Infographic showing various Bioinformatics Scientist job openings in the United States as of July 2026, with employment types broken down into 9% As Needed, 79% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $113,966 per year, or $54.8 per hour.

Staff Bioinformatics Scientist

Exactsciences

La Jolla, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Help us change lives

At Exact Sciences, we're helpingchange how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.

Position Overview

Staff Bioinformatics Scientist will lead the development and application of machine learning, statistical modeling, and bioinformatics for next-generation sequencing-based products. This individual will serve as a senior technical leader within Research and Development, working cross-functionally with bioinformatics, assay development, data engineering, software development, quality and product development teams.

The ideal candidate has deep experience analyzing large and complex biological datasets in an industry setting and has demonstrated successful development, validation and deployment of algorithms, statistical and machine learning models using principled and reproducible methodology.

This is a senior individual contributor role requiring strong scientific and technical leadership, and the ability to translate complex genomic data into insights and products.

Essential Duties

Include, but are not limited to, the following:

  • Lead the development, evaluation and optimization of machine learning and statistical models for high-dimensional NGS and genomics datasets.
  • Design and implement bioinformatics algorithms to support NGS assay development, analytical performance evaluation, quality control, signal detection, classification, or interpretation.
  • Collaborate with wet-lab scientists to design experiments, interpret results, identify technical issues, and recommend next steps.
  • Apply rigorous statistical and computational methods to evaluate assay performance, reproducibility, robustness, sensitivity, specificity, and sources of technical or biological variation.
  • Develop reproducible analysis workflows using modern bioinformatics, data science, and software engineering practices.
  • Work within cloud computing environments to process, analyze, and manage large-scale sequencing datasets.
  • Present and summarize complex technical findings effectively to cross-functional audiences.
  • Serve as subject matter expert for NGS bioinformatics, machine learning and statistical analysis.
  • Identify opportunities and build out proof of concept implementations for new state-of-the-art methodology across machine learning, bioinformatics and software engineering
  • Provide guidance and mentorship to junior team members.
  • Support development activities within a quality-managed or regulated environment.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to work on a computer and phone simultaneously.
  • Ability to travel 10% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications

  • Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D.
  • 8+ years of industry or academia experience in bioinformatics.
  • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Demonstrated experience in developing statistical and quantitative methods.
  • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.
  • Demonstrated expertise in product/assay research, design, or development.
  • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

Preferred Qualifications

  • 10+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Deep expertise in NGS bioinformatics and genomic data analysis.
  • Practical experience effectively leveraging AI in regulated environments
  • Experience with modern cloud-based MLOps systems
  • Experience developing and applying advanced linear and non-linear statistical learning methods on complex datasets, including but not limited to supervised and unsupervised machine learning techniques.
  • Familiarity with applying deep learning to high dimensional data.
  • Previous experience as a project lead for a team of scientists.
  • 2+ years of direct people leadership and management experience.
  • Experience in a pharmaceutical or biotech manufacturing environment, preferably in a GMP and/or ISO environment.
  • Previous industry experience in product development or technical support.
  • Previous experience working in molecular diagnostics.
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Salary Range:

California Ranges: $154,400.00 - $231,600.00

The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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