ZipRecruiter

Log In

1

Virtual Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD

$105K - $120K/yr

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO · On-site

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 ...

next page

Showing results 1-20

All JobsBioinformatics Data Scientist JobsVirtual Bioinformatics Data Scientist Jobs

Virtual Bioinformatics Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Jun 15, 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:
Virtual Bioinformatics Data Scientist jobs near you
Bioinformatics Data Scientist

Bioinformatics Data Scientist

Ansa Biotechnologies

Emeryville, CA • On-site

$131K - $183K/yr

Full-time

Medical, Dental, Vision

Posted 7 days ago

Job description

Job Summary:
Ansa is seeking a highly skilled and motivated Bioinformatics Data Scientist to join our team. In this role you will work in collaboration with R&D scientists to understand experimental, manufacturing, and commercial data in the context of DNA sequence features. You will design and build data analysis pipelines that drive further innovation of Ansa's enzymatic DNA synthesis products. Embedded on a team of bioinformatics data scientists and software engineers, you will integrate the tools you build into our production software ecosystem. This work will improve manufacturing outcomes, enhance product development efforts, and feed insights back to Ansa's commercial strategy.
This role requires a strong background in the analysis and interpretation of DNA data and some experience in implementing data science workflows at scale. The ideal candidate has a Ph.D. and 2+ years of experience in biotech or a related industry.
Responsibilities:
  • Analyze data and present findings to drive decision-making in R&D, manufacturing pipeline improvement, and product development.
  • Critically evaluate statistical learning, AI, and bioinformatics tools for their appropriate application to experimental and production data.
  • Design, develop, and deploy scalable and robust bioinformatics pipelines.
  • Collaborate with cross-functional teams to understand requirements and rapidly implement solutions from prototype/concept to production deployment.
  • Ensure data integrity, traceability, accuracy, and security.
  • Use software engineering best practices, including distributed version control, participation in team code review, and automation for building, testing, and deploying production code.

Qualifications:
  • Ph.D. in Bioinformatics, Computational Biology, Biophysics, Computer Science, or a related quantitative field. Candidates with equivalent industry experience and demonstrated quantitative skill set will be considered.
  • Proven track record in analyzing, interpreting, and modeling biological data, including high-throughput sequencing data, using Python for data manipulation, analysis, and visualization.
  • Proficient in using a wide range of bioinformatics tools and resources for DNA sequence analysis, including experience using statistical, machine learning, and AI methods in molecular biology and genomics.
  • Demonstrated experience shipping production code in an industry setting using software engineering best practices.
  • Experience deploying automated analysis pipelines using cloud computing resources.
  • Excellent problem-solving, communication, and collaboration skills.
  • Desire to deliver high-quality results in a fast-paced, dynamic environment.

What We Offer:
  • Competitive salary and equity.
  • Generous benefits package including health, dental, and vision.
  • Ongoing professional development and training opportunities.
  • A collaborative and innovative work environment.
  • The opportunity to be part of a company at the forefront of synthetic biology and innovation.

San Francisco Bay Area Pay Range
$131,250 - $183,750 - Depending upon experience
Ansa Biotechnologies is an Equal Opportunity Employer.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
At Ansa, we're building a community of intelligent and passionate humans that will help us change biotechnology research with our enzymatic DNA synthesis technology. We believe that challenging and trusting one another, and continuously learning are essential to our success. We believe that building diverse, inclusive and psychologically safe spaces are essential to a community culture that yields the happiest colleagues and friends, and the highest quality research.
As we are growing rapidly, this is an ever present goal: hiring the best people while building diversity in thought, experience and background within our team. While the biotechnology space can feel limited in BIPOC, non-binary and even female representation, we endeavor to make hiring decisions that will continue to grow and support our team in the direction of cultural diversity and sustainability.

Apply