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Virtual Bioinformatic Jobs (NOW HIRING)

Utah State University

Postdoctoral Fellow I

Logan, UT

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host ... Structure-based computational screening using molecular docking, highthroughput virtual screening ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host ... Structure-based computational screening using molecular docking, highthroughput virtual screening ...

Howard University

CZI Post Doctoral Fellow

Washington, DC · On-site

$60K - $70K/yr

Coordinate on-site and virtual meetings/lectures as needed. CORE COMPETENCIES: * Manage time and ... bioinformatics, public health, microbiology, biophysics, quantum biology, or a related discipline.

Baylor Genetics

Sr Infrastructure Engineer

Houston, TX · On-site

$99K - $135K/yr

Collaborate cross-functionally with bioinformatics, clinical lab, and IT teams to align ... Deep expertise in physical and virtual server administration (Windows Server 2016/2019/2022, Linux ...

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Virtual Bioinformatic information

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How much do virtual bioinformatic jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for virtual bioinformatic in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Virtual Bioinformatic vs Data Analyst?

AspectVirtual BioinformaticData Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; sometimes certifications in bioinformatics toolsBachelor's or Master's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentRemote or on-site in research labs, biotech companies, or healthcare settingsRemote or on-site in various industries including finance, healthcare, and tech
Industry UsagePrimarily in biotech, pharmaceutical, and research institutionsAcross multiple industries including finance, marketing, healthcare, and technology

While both roles involve analyzing data, Virtual Bioinformaticians focus on biological data such as genomic sequences, whereas Data Analysts work with diverse datasets across industries. The credentials and work environments overlap, but their specialized knowledge areas differ significantly.

More about Virtual Bioinformatic jobs
What cities are hiring for Virtual Bioinformatic jobs? Cities with the most Virtual Bioinformatic job openings:
What are the most commonly searched types of Bioinformatic jobs? The most popular types of Bioinformatic jobs are:
What states have the most Virtual Bioinformatic jobs? States with the most job openings for Virtual Bioinformatic jobs include:
What job categories do people searching Virtual Bioinformatic jobs look for? The top searched job categories for Virtual Bioinformatic jobs are:
Virtual Bioinformatic jobs near you
Infographic showing various Virtual Bioinformatic job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 8% Internship, 65% As Needed, 11% Full Time, and 14% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

Director, Machine Learning, Virtual Cell Initiative

Arc Institute

Palo Alto, CA • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. The Director of Machine Learning will lead the development of advanced machine learning models for the Virtual Cell Initiative, collaborating with multidisciplinary teams to innovate in the field of single-cell genomics.
Responsibilities:
• Lead/build a team of 6 ML research scientists and engineers augmented with undergrad/masters/PhD students to contribute to the development of a state-of-the-art foundation model and agentic framework for understanding how cells respond to perturbations.
• Work in an active learning loop with Arc’s wet lab scientists to shape the world's largest and most diverse set of single cell training data across many cell contexts.
• Collaborate closely with other research groups to integrate genomics, functional track,and omics data more broadly beyond scRNA-seq data and Perturb-seq
• Stay up to date on the latest in frontier ML research and pioneer new architectures and approaches.
• The ultimate goal is to build a high utility virtual cell model for use by biologists worldwide. We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
• Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.
• Attract the very best talent in the world to support VCI initiative goals
Qualifications:
Required:
• PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field.
• Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch, TensorFlow, JAX, etc.
• Proven experience leading research teams in a fast paced, multi-disciplinary environment.
• Experience with or strong interest in biology with ability to communicate and collaborate successfully with biologists and pure ML engineers.
• Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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