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Entry Level Remote Bioinformatics Scientist Jobs

D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field ... Open to remote candidates if they meet all the required skills and experience and are right fit for ...

D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field ... Open to remote candidates if they meet all the required skills and experience and are right fit for ...

Founded in 2020 and built by microbiome scientists and physicians, our testing platform reveals ... Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST ...

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. The Senior ... Required : • Bachelor's or Master's degree in Bioinformatics, Computer Science, Software ...

This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development ... Skills: • Programming experience with Python and R for bioinformatic data analysis in unix-like ...

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How much do entry level remote bioinformatics scientist jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level remote 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 does an entry level remote bioinformatics scientist do?

An Entry Level Remote Bioinformatics Scientist uses computational tools and software to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. They assist in interpreting large datasets, developing algorithms, and supporting research in fields like genomics, drug discovery, or medical diagnostics. Typical tasks include cleaning and organizing data, running analyses, generating reports, and collaborating with other scientists, often as part of a virtual team.

What are the key skills and qualifications needed to thrive as an entry level remote bioinformatics scientist?

To thrive as an Entry Level Remote Bioinformatics Scientist, you need a solid background in biology, statistics, and computer science, usually supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, R, Python, and databases like GenBank, as well as experience with cloud computing platforms, are typically expected. Analytical thinking, attention to detail, and effective remote communication skills set candidates apart in collaborative and data-driven environments. These competencies are crucial for accurately analyzing biological data, contributing to research projects, and working efficiently within distributed teams.

What are some typical challenges faced by entry level remote bioinformatics scientists, and how can they be addressed?

Entry level remote bioinformatics scientists often encounter challenges related to effective communication and collaboration with team members, especially when working across different time zones. Additionally, getting accustomed to complex data analysis pipelines and various bioinformatics tools can be overwhelming at first. To address these challenges, it's helpful to proactively schedule regular check-ins with mentors and colleagues, utilize collaborative project management tools, and take advantage of online training resources. Building a strong routine for self-directed learning and documentation will also make it easier to adapt and grow in the remote work environment.

What is the difference between Entry Level Remote Bioinformatics Scientist vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Bioinformatics ScientistEntry Level Remote Data Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, or related field; familiarity with bioinformatics toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative with research teams, often in biotech or healthcare industriesRemote, working with datasets across various industries like finance, marketing, or healthcare
Employer & Industry UsageBiotech companies, research institutions, pharmaceutical firmsTech companies, consulting firms, healthcare organizations

While both roles involve data analysis skills, the Entry Level Remote Bioinformatics Scientist focuses on biological data and genomics, requiring specific bioinformatics knowledge. In contrast, the Entry Level Remote Data Analyst handles diverse datasets across industries. Both roles are remote and entry-level, but they serve different industry needs and require distinct domain expertise.

Are entry level remote bioinformatics scientists in demand?

Entry level remote bioinformatics scientists are in increasing demand due to the growth of personalized medicine, genomics research, and biotech industries. Skills in programming, data analysis, and familiarity with tools like R and Python enhance job prospects in this field.

Is it hard to get a job in bioinformatics?

Securing an entry-level remote bioinformatics scientist position can be competitive, as it often requires a strong foundation in biology, programming skills, and experience with tools like Python or R. Building relevant skills, gaining hands-on experience through projects or internships, and obtaining certifications can improve job prospects in this field.
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Infographic showing various Entry Level Remote Bioinformatics Scientist job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 15% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,966 per year, or $54.8 per hour.

Remote Bioinformatics Scientist Genomics & Statistical Genetics

24 Mag

Manhattan, NY • Remote

Part-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

24-MAG LLC is offering a part-time remote engagement for PhD-level computational genomics and bioinformatics professionals with expertise in statistical modelling, R, Python, and reproducible research. You will work on realistic analysis workflows across computational genomics and translational biomedicine, delivering structured scientific reporting. Ideal candidates will perform QC, apply statistical methods to complex datasets, and develop reusable workflows in R and Python, with strong