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Bioinformatics Data Scientist Jobs (NOW HIRING)

Job Purpose We are seeking a data scientist who is interested in helping to build and scale genome ... The successful candidate will have the opportunity to innovate and build new bioinformatic products ...

... bioinformatics Additional Skills & Qualifications PhD in quantative with 0-2 years OR Master's with 5-8 years experience Proven experience delivering complex data science projects in industry ...

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

... sciences startup focused on harnessing the power of the gut microbiome to revolutionize ... Data Engineering - contribute to the development and maintenance of cloud-based infrastructure ...

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or ...

Senior Expert I, Data Science

San Diego, CA · On-site

$126K - $234K/yr

... Scientist to join our team. With a focus on induced proximity therapeutics, you will collaborate ... Apply advanced bioinformatics and machine learning approaches across multi-modal datasets to ...

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Bioinformatics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do bioinformatics data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for bioinformatics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects do Bioinformatics Data Scientists typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What is a Bioinformatics Data Scientist job?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What are the key skills and qualifications needed to thrive in the Bioinformatics Data Scientist position, and why are they important?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What cities are hiring for Bioinformatics Data Scientist jobs? Cities with the most Bioinformatics Data Scientist job openings:
What are the most commonly searched types of Bioinformatics Data Scientist jobs? The most popular types of Bioinformatics Data Scientist jobs are:
What states have the most Bioinformatics Data Scientist jobs? States with the most job openings for Bioinformatics Data Scientist jobs include:
Infographic showing various Bioinformatics Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Other

Posted 26 days ago


Job description

Our mission is to create technologies that unlock the power of affordable precision medicine. If that
inspires you, let's talk. We are a startup company with a plan to disrupt the clinical testing market. Our focus is on building NGS diagnostic and software solutions from the ground up, leveraging experiences in genomics, data analytics, clinical testing and patient focus to quickly innovate and penetrate the market. If you thrive in a brilliant, fast-paced, and mission-driven environment, this is the place for you!
Job Purpose
We are seeking a data scientist who is interested in helping to build and scale genome technology software
products with application to clinical diagnostics driven by statistical data discovery. The applicant will be
responsible for developing new algorithms for data analysis, and providing computational support for our core technology and product development. This exceptional opportunity offers the chance to support research and development efforts at the forefront of genomic and cellular understanding of cancer, as well as statistical analysis, big data and cloud development. The successful candidate will have the opportunity to innovate and build new bioinformatic products from basic data scaling to big data discovery. Many of the algorithm developments require novel use of data by applying current and emerging machine learning techniques.
Responsibilities
  • Understand and explore data patterns.
  • Discover new statistical ways to interpret data.
  • Deep understanding of statistical methods including but not limited to Bayes' theorem, Hidden Markov Model, etc.
  • Translate product ideas into defined data science challenges and solve them.
  • Design and deploy algorithms and machine learning systems backing product development.
  • Assist with big data analysis implementation and cluster computation including but not limited to Celery, Hadoop, Spark, etc.
  • Help optimize software performance and improve algorithm accuracy.

Qualifications.
  • PhD or Masters in Data Science, Computer Science, Engineering, Physics, Mathematics or other scientific field of study. (PhD preferred)
  • Proven relevant experience in data analytics (does not need to be in bioinformatic field).
  • Proficiency in Python for numerical/statistical programming including Numpy, Pandas and standard machine learning libraries.
  • Possess strong analytical and problem solving skills.
  • Willingness to work hard and be creative in a fast-paced environment.
  • Able to work both independently and collaboratively with colleagues.
  • Capable of working in a team environment with good communication.