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Remote Applied Biology Jobs (NOW HIRING)

Sail Biomedicines

Sr. Engineer, Drug Product

Cambridge, MA · On-site +1

$130K - $150K/yr

The ideal candidate has hands-on experience with biologics, nanoparticle, RNA, sterile drug product ... Provide person-in-plant or remote technical support Process Modeling & Data Analysis * Develop and ...

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The position requires a PhD in chemistry with a focus on spectroscopy applied to biomolecules, or ...

LGC Group

Regional Account Manager

Alexandria, MN · Remote

Build, manage, and grow relationships with defined Applied clients in the region, supporting ... Emphasis in molecular/cell biology is a plus. * Language Proficiency: Fluent in English (written ...

Labcorp

Sr Curation Scientist

Durham, NC · On-site +1

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ... Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This is a field- and program-intensive position that integrates applied evaluation, community ...

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Remote Applied Biology information

Where can I work with remote applied biology?

Remote applied biology jobs are available in various industries such as healthcare, environmental consulting, biotechnology, and research institutions. These roles often require skills in data analysis, laboratory techniques, and familiarity with remote collaboration tools, allowing professionals to work from home or other remote locations.

What skills and qualifications are needed to thrive as a remote applied biologist?

To thrive as a Remote Applied Biologist, you need a solid background in biological sciences, data analysis, and research methodologies, typically supported by a relevant degree such as biology, biotechnology, or environmental science. Proficiency with statistical software (like R or Python), laboratory information management systems (LIMS), and virtual collaboration tools is often required. Strong problem-solving abilities, self-motivation, and clear written communication are critical soft skills for remote work environments. These skills and qualities enable effective research, accurate data interpretation, and successful collaboration on virtual scientific teams.

How do remote applied biology professionals effectively collaborate with laboratory-based teams?

Remote applied biology professionals typically collaborate with lab-based teams through regular virtual meetings, shared digital platforms for data analysis, and clear communication protocols. They are often responsible for tasks such as data interpretation, literature review, and computational modeling, which complement laboratory work. To ensure seamless collaboration, remote biologists use cloud-based tools and maintain consistent updates with lab colleagues, bridging the gap between experimental results and applied research. Building strong communication skills and being proactive in seeking feedback are key to thriving in this collaborative environment.

What jobs can I get with a remote applied biology degree?

A remote applied biology degree can qualify you for roles such as biological technician, research associate, or laboratory analyst, often requiring skills in data analysis, laboratory techniques, and scientific reporting. These positions may involve working with research teams, analyzing biological data, or supporting environmental and health-related projects remotely.

What remote jobs can I do with a remote applied biology degree?

With a remote applied biology degree, you can pursue roles such as research scientist, biological technician, or environmental consultant, often requiring skills in data analysis, laboratory techniques, and scientific writing. Many of these positions involve analyzing data, preparing reports, or supporting research projects remotely, sometimes with the use of specialized software or tools. Certification or experience in specific areas like bioinformatics or laboratory management can enhance job prospects in remote settings.

What is a remote applied biologist?

A Remote Applied Biologist is a professional who studies living organisms and applies biological principles to solve real-world problems, often working from a remote location rather than on-site in a lab or field. Their work may involve data analysis, research, and collaboration with other scientists remotely using digital tools. This role is common in areas such as environmental consulting, healthcare technology, and biotechnology, where much of the analysis and reporting can be done online. Remote Applied Biologists may also contribute to research papers, manage datasets, and participate in virtual meetings with teams across the globe.
More about Remote Applied Biology jobs
What cities are hiring for Remote Applied Biology jobs? Cities with the most Remote Applied Biology job openings:
What are the most commonly searched types of Applied Biology jobs? The most popular types of Applied Biology jobs are:
What states have the most Remote Applied Biology jobs? States with the most job openings for Remote Applied Biology jobs include:
What job categories do people searching Remote Applied Biology jobs look for? The top searched job categories for Remote Applied Biology jobs are:
Remote Applied Biology jobs near you
Infographic showing various Remote Applied Biology job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 45% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Staff Bioinformatics Scientist, Oncology Applications

Ultima Genomics

Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Rapidly Growing Life Sciences Technology Company
Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.
We are looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!
As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima's platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.
This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.
This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.
How You'll Contribute
  • Develop, optimize, and maintain scalable bioinformatics pipelines for NGS data analysis such as WGS, WES, RNA-seq, and single-cell
  • Design and implement novel algorithms for secondary and tertiary NGS analysis tailored to Ultima's sequencing chemistry
  • Lead and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
  • Perform benchmarking and validation studies
  • Analyze large-scale genomic datasets and generate actionable insights for internal R&D, product development, and external collaborators
  • Collaborate closely with wet-lab scientists, software engineers, and product teams to translate experimental results into improved workflows and tools
  • Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for customers, partners, and conferences
  • Contribute to scientific publications, application notes, white papers, and other external communication materials as needed
  • Participate in customer-facing discussions to explain data analysis approaches, performance metrics, and platform capabilities
  • Document methods clearly and communicate findings effectively to both technical and non-technical audiences
  • Stay current with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology
  • Other duties as assigned

Qualifications, Skills, Knowledge & Abilities
  • PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
  • PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required
  • Strong programming skills in Python and/or C++
  • Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools
  • Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL)
  • Experience working with large datasets in cloud environments (AWS, GCP)
  • Solid understanding of genomics and cancer biology
  • Strong statistical and data analysis skills
  • Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines
  • Knowledge of machine learning approaches applied to genomics
  • Clear and confident communicator, comfortable in external-facing settings
  • Experience in regulated environments (CLIA, CAP) is a plus
  • Thrive in a fast-paced, startup environment with evolving priorities
  • Demonstrated scientific rigor and analytical thinking
  • High ownership, accountability, and bias toward action
  • Collaborative mindset with cross-functional agility

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.
#LI-Remote
Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. See also Ultima Genomics' EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.

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