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Virtual Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Collaborate with computational biologists, data scientists, and software engineers to integrate ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Collaborate with computational biologists, data scientists, and software engineers to integrate ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Collaborate with computational biologists, data scientists, and software engineers to integrate ...

Scientist, Bioinformatics Job Locations US-Remote | US-MO-St. Louis ID 2026-19291 Job Function ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bioinformatics Staff Scientists play a supporting role in enabling the research efforts of ... Lead data wrangling, harmonization, standardization, and quality control of existing biological ...

Scientist, Bioinformatics Job Locations US-Remote | US-MO-St. Louis ID 2026-19291 Job Function ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Communicate findings to scientists, researchers, and stakeholders through clear written reports and ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Communicate findings to scientists, researchers, and stakeholders through clear written reports and ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... findings to scientists, researchers, and stakeholders through clear written reports and ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Communicate findings to scientists, researchers, and stakeholders through clear written reports and ...

PhD in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a closely related ... virtual screening, and ADMET modeling. * Strong proficiency in Python, with hands-on experience ...

Virtual Cell Initiative : Building a full-stack virtual cell model to identify disease mechanisms ... You will help turn complex biological data into actionable insights for scientists studying ...

Scientist, Bioinformatics Job Locations US-Remote | US-MO-St. Louis Posted Date 2 months ago(5/26 ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

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Virtual Bioinformatics Data Scientist information

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$46K

$165K

$243.5K

How much do virtual bioinformatics data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for virtual bioinformatics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Virtual Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, often supported by an advanced degree in bioinformatics or a related field. Proficiency in programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with cloud computing platforms are typically required. Outstanding analytical thinking, collaboration, and effective communication skills set top performers apart in this field. These competencies are crucial for extracting meaningful insights from complex biological data and facilitating impactful research in a remote, interdisciplinary environment.

What is a Virtual Bioinformatics Data Scientist?

A Virtual Bioinformatics Data Scientist is a professional who analyzes and interprets complex biological data, such as genomic sequences, using computational tools and statistical techniques, often working remotely. They collaborate with researchers and healthcare professionals to process large datasets, develop algorithms, and extract meaningful insights that advance scientific or clinical research. The 'virtual' aspect means they perform their duties online, leveraging cloud platforms and remote collaboration tools. This role requires expertise in biology, computer science, and data analytics. Their work supports advancements in fields like personalized medicine, drug development, and genomics.

What is the difference between Virtual Bioinformatics Data Scientist vs Virtual Bioinformatics Analyst?

AspectVirtual Bioinformatics Data ScientistVirtual Bioinformatics 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 EnvironmentConducts complex data modeling, algorithm development, and predictive analyticsFocuses on data interpretation, report generation, and supporting research teams
Employer & Industry UsageUsed in biotech, pharmaceutical, and research institutions for advanced data analysisCommon in research labs, healthcare, and biotech companies for data support roles

The Virtual Bioinformatics Data Scientist and Virtual Bioinformatics Analyst roles share overlapping skills but differ mainly in complexity and focus. Data scientists handle advanced modeling and algorithm development, often requiring higher credentials, while analysts focus on data interpretation and reporting. Both roles are vital in biotech and research industries, but their responsibilities and expertise levels vary.

How does a Virtual Bioinformatics Data Scientist typically collaborate with cross-functional teams in a remote setting?

As a Virtual Bioinformatics Data Scientist, you will regularly collaborate with biologists, clinicians, and software engineers via digital communication and project management platforms. Effective communication is crucial, as you’ll be expected to translate complex data findings into actionable insights for non-technical team members. Most virtual teams use tools like Slack, Zoom, and shared cloud-based repositories to facilitate real-time collaboration and feedback. Proactive participation in virtual meetings, clear documentation, and adaptability to asynchronous workflows are key to successful teamwork in this remote role.
What cities are hiring for Virtual Bioinformatics Data Scientist jobs? Cities with the most Virtual 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 Virtual Bioinformatics Data Scientist jobs? States with the most job openings for Virtual Bioinformatics Data Scientist jobs include:

Staff Bioinformatics Scientist

Exactsciences

La Jolla, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 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.