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Entry Level Remote Bioinformatics Scientist Jobs

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Bioinformatics Staff Scientists play a supporting role in enabling the research efforts of ...

micro1 AI

AI Training Specialist - Life Sciences

Bend, OR · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

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Entry Level Remote Bioinformatics Scientist information

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

As of Aug 17, 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 data-driven healthcare. Employers seek candidates with skills in programming, statistical analysis, and familiarity with tools like R and Python, often requiring a bachelor's or master's degree in a related field. Remote positions are expanding as companies prioritize flexible work arrangements in the biotech and healthcare sectors.

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 familiarity with tools like Python, R, or Linux. Candidates with relevant internships, certifications, or research experience tend to have better prospects in this field.
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Entry Level Remote Bioinformatics Scientist jobs near you
Infographic showing various Entry Level Remote Bioinformatics Scientist job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, 13% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,966 per year, or $54.8 per hour.

Scientist- Bioinformatics R&D -REMOTE

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Scientist- Bioinformatics R&D tojoin our team. The Bioinformatics Scientist leads translational bioinformatics and product development for NGS pipelines as part of the R&D Bioinformatics department. This scientist is an integral part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data from reproductive health, cancer, and other diseases. As part of a development team of engineers and scientists, this scientist will translate research prototypes into production-quality, scalable pipeline products used by a variety of clinical diagnostics and research projects across many teams at Sema4. This scientist will serve as an authority in these products to other users and teams and optimize them to serve Sema4 data science needs.
RESPONSIBILITIES
  • Design, develop, and test NGS pipelines for clinical tests and research projects in oncology, reproductive health, and other indications.
  • Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to features and optimizations of clinical utility.
  • Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays.
  • Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data.
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs.

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
  • Hands-on experience working with NGS tools with high proficiency, especially for sequence analysis and expression analysis
  • Strong coding proficiency in R, Python, and SQL programming languages in a Linux environment.
  • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
  • High self-motivation, great ability to work in both multiple-task and independent fashions.
  • Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies.
  • Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Using or developing genome browsers or other tools for visualization of genomic datasets.

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