Remote Science Coordinator Jobs
Remote science coordinator jobs are open across the U.S. at remote-first firms and distributed teams in sectors like biotech, environmental science, public health, and education technology. Employers hiring remotely right now include Connections Education, Sobi, and EVERSANA. See the openings below and apply to the ones that match your experience.
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Showing 5 of 320+ Remote Science Coordinator jobs
The Position
2027 Summer Intern - Computational Science
We advance science so that we all have more time with the people we love.
Department Summary
The XOOS Algorithm Development team leads secondary analysis algorithm development for Sequencing by Expansion (SBX) data on the AXELIOS platform. We bridge rapid R prototyping with production-grade bioinformatics tools, driving multi-omics whole genome and targeted sequencing applications across oncology, genetic disease, and infectious disease.
This internship position isfully remote.
The Opportunity
- Algorithm Development.
- Benchmarking.
- Software development.
- Presenting results to stakeholders.
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in May/June (Summer).
- A stipend, based on location, will be provided to help alleviate costs associated with the internship.
- Ownership of challenging and impactful business-critical projects.
- Work with some of the most talented people in the biotechnology industry.
Required Education:
- Must be pursuing a PhD (enrolled student).
Required Skills
- Advanced experience developing bioinformatics algorithms for secondary analysis of sequencing data.
- Demonstrated expertise in detecting genetic variation in challenging genomic contexts, including repeat regions, paralogs, pseudogenes, and highly homologous loci.
- Strong understanding of haplotype phasing, read alignment, local or de novo assembly, scaffolding, and pangenome methods.
- Experience developing tools for one or more of the following: Repeat expansion or repeat-genotype analysis, Paralog- or pseudogene-aware variant calling, Long-read or highly accurate sequencing analysis, Haplotype reconstruction and phasing, De novo or targeted assembly, Graph genomes or pangenome analysis.
- Strong programming skills in Python and/or C++, with experience building reproducible, tested software.
- Experience evaluating algorithms with representative datasets and quantitative performance metrics.
- Currently enrolled in or recently graduated from a degree program in bioinformatics, computational biology, computer science, statistics, mathematics, genomics, or a related field.
- Demonstrated record of publications, preprints, or equivalent technical contributions describing novel algorithms or methods for variant detection and genotyping.
- Research experience focused on difficult-to-map regions of the genome, including repeats, paralogs, pseudogenes, segmental duplications, and other highly homologous loci.
- Publications or documented contributions involving one or more of the following: Repeat-variant detection or genotyping, Haplotype phasing and reconstructionLocal, targeted, or de novo assembly, Scaffolding and contig generation, Pangenome or graph-based analysisLong-read sequencing analysis, Paralog- or pseudogene-aware variant calling.
- Ability to explain algorithmic innovations, validation methodology, limitations, and performance results clearly.
- Evidence of translating research methods into reproducible prototypes or usable bioinformatics tools.
The expected salary range for this position based on the primary location of California is $47.00-$52.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this formAccommodations for Applicants.
The Position
2027 Summer Intern - Computational Science
We advance science so that we all have more time with the people we love.
Department Summary
The XOOS Algorithm Development team leads secondary analysis algorithm development for Sequencing by Expansion (SBX) data on the AXELIOS platform. We bridge rapid R prototyping with production-grade bioinformatics tools, driving multi-omics whole genome and targeted sequencing applications across oncology, genetic disease, and infectious disease.
This internship position isfully remote.
The Opportunity
- Algorithm Development.
- Benchmarking.
- Software development.
- Presenting results to stakeholders.
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in May/June (Summer).
- A stipend, based on location, will be provided to help alleviate costs associated with the internship.
- Ownership of challenging and impactful business-critical projects.
- Work with some of the most talented people in the biotechnology industry.
Required Education:
- Must be pursuing a PhD (enrolled student).
Required Skills
- Advanced experience developing bioinformatics algorithms for secondary analysis of sequencing data.
- Demonstrated expertise in detecting genetic variation in challenging genomic contexts, including repeat regions, paralogs, pseudogenes, and highly homologous loci.
- Strong understanding of haplotype phasing, read alignment, local or de novo assembly, scaffolding, and pangenome methods.
- Experience developing tools for one or more of the following: Repeat expansion or repeat-genotype analysis, Paralog- or pseudogene-aware variant calling, Long-read or highly accurate sequencing analysis, Haplotype reconstruction and phasing, De novo or targeted assembly, Graph genomes or pangenome analysis.
- Strong programming skills in Python and/or C++, with experience building reproducible, tested software.
- Experience evaluating algorithms with representative datasets and quantitative performance metrics.
- Currently enrolled in or recently graduated from a degree program in bioinformatics, computational biology, computer science, statistics, mathematics, genomics, or a related field.
- Demonstrated record of publications, preprints, or equivalent technical contributions describing novel algorithms or methods for variant detection and genotyping.
- Research experience focused on difficult-to-map regions of the genome, including repeats, paralogs, pseudogenes, segmental duplications, and other highly homologous loci.
- Publications or documented contributions involving one or more of the following: Repeat-variant detection or genotyping, Haplotype phasing and reconstructionLocal, targeted, or de novo assembly, Scaffolding and contig generation, Pangenome or graph-based analysisLong-read sequencing analysis, Paralog- or pseudogene-aware variant calling.
- Ability to explain algorithmic innovations, validation methodology, limitations, and performance results clearly.
- Evidence of translating research methods into reproducible prototypes or usable bioinformatics tools.
The expected salary range for this position based on the primary location of California is $47.00-$52.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this formAccommodations for Applicants.
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Find JobsRemote Science Coordinator Job Market
Who's Hiring
- Connections Education12
- Sobi11
- EVERSANA10
- Praxis Precision Medicines10
- Ascendis Pharma7
Top Industries Hiring
- Biotechnology & Pharmaceuticals13
- Technology & Software6
- Medical Devices3
- Insurance2
- Science & Research2
What Employers Look For
The qualifications that appear most often in remote science coordinator jobs.
- Bachelor's degree in a natural science, life science, or related field
- Experience coordinating laboratory operations, research studies, or science programs
- Familiarity with regulatory compliance standards such as IRB, CLIA, or GMP
- Proficiency with data management tools, spreadsheets, and laboratory information systems
- Strong written and verbal communication skills for cross-functional coordination
- Experience with grant administration, budget tracking, or procurement processes
Tips for Your Remote Science Coordinator Job Search
Prove your async coordination skills upfront
Remote science coordinator hiring managers want to see that you can manage tasks, timelines, and stakeholders without in-person check-ins. Include specific examples of async project coordination in your cover letter, such as managing distributed data collection or running virtual science programs.
Apply early to remote roles that fit
Migrate Mate lists remote science coordinator openings from across the U.S. in one place, so you can find roles that match your background and apply directly. Early applicants get more attention before a posting attracts a large pool.
Highlight written communication in your materials
Remote science coordinators communicate almost entirely through written channels. Demonstrate strong writing in your resume and cover letter, and be ready to show samples of science communications, program summaries, or coordinator reports you've produced in past roles.
Name the remote tools you already use
Employers hiring remote science coordinators look for fluency with project management and collaboration platforms common in distributed science teams. Mention specific tools you've used to track study timelines, coordinate field data, or manage virtual program logistics in your application materials.
Remote Science Coordinator Jobs: Frequently Asked Questions
How do I get a remote science coordinator job?
Target remote-first biotech companies, public health organizations, and education technology firms that run distributed science programs. Remote employers screen for self-direction, clear written communication, and comfort with async workflows since there's no on-site supervisor to check in with. Demonstrating experience with virtual lab coordination, remote project tracking tools, or distributed team collaboration gives your application a concrete edge over candidates without that background.
Which companies hire remote science coordinators?
Companies hiring remote science coordinators right now include Connections Education, Sobi, and EVERSANA, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first biotech firms, distributed environmental and public health organizations, and education technology companies that run science programs across multiple locations without a central office.
Can you get a remote science coordinator job with no experience?
Yes, but remote entry-level science coordinator roles are harder to land because employers expect you to work independently from day one without on-site guidance. You can strengthen your case by showing volunteer coordination work, science outreach projects, or coursework that involved organizing research activities. Remote-first education technology companies and nonprofit science programs are the most open to candidates building their early experience.
Do you need a degree for remote science coordinator jobs?
Not always. Many remote employers prioritize demonstrated coordination skills, familiarity with scientific workflows, and results from past projects over a specific degree. A background in a relevant science field helps, but candidates who can show successful program coordination, data tracking, and clear written reporting often move forward without a traditional four-year degree in a hard science.
Which industries hire the most remote science coordinators?
Remote science coordinator roles concentrate in Biotechnology & Pharmaceuticals, Technology & Software, and Medical Devices, based on current remote listings on Migrate Mate as of November 2026. These sectors hire science coordinators remotely because their programs and research operations run across distributed teams with no single geographic hub.
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