ZipRecruiter

Log In

2

Next Generation Sequencing Data Analysis Remote Jobs

Karius

Clinical Sales Manager (Seattle)

Seattle, WA · Remote

$118K - $177K/yr

Combining Next-Generation Sequencing and proprietary data analysis, we can identify over 1,000 ... remote and in-person, and manage follow-up. • Collaborate with Customer Success to onboard new ...

Karius

Clinical Sales Manager (Seattle)

Seattle, WA · On-site +1

Combining Next-Generation Sequencing and proprietary data analysis, we can identify over 1,000 ... remote and in-person, and manage follow-up. • Collaborate with Customer Success to onboard new ...

YO IT Consulting

Data Analyst Excel - Remote

... training next-generation AI systems. The role involves conducting in-depth data analysis, collaborating with stakeholders, and developing reports to support data-driven decision-making.

Next Generation, Inc.

Oracle Cloud Conversion Lead

$150K - $175K/yr

Next Generation, Inc, an Equal-Opportunity Employer, is seeking an experienced Oracle Cloud ... This fully remote role involves overseeing data conversion processes, providing expert guidance ...

OGT

Account Manager - North East

New York, NY · Remote

... Next Generation Sequencing (NGS) Products and Cytocell™ FISH products. We need someone who is ... Remote employee based out of a home office * Regular travel, minimum 50%. Desirable * Detailed ...

OGT

Account Manager - West Coast

New York, NY · On-site +1

... Next Generation Sequencing (NGS) Products and Cytocell™ FISH products. We need someone who is ... Remote employee based out of a home office. * Regular travel, minimum 50%. Desirable * Detailed ...

next page

Showing results 1-20

All JobsNext Generation Sequencing Data Analysis JobsNext Generation Sequencing Data Analysis Remote Jobs

Next Generation Sequencing Data Analysis Remote information

See salary details

$37.5K

$122.7K

$196.5K

How much do next generation sequencing data analysis remote jobs pay per year?

As of Jul 14, 2026, the average yearly pay for next generation sequencing data analysis remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in Next Generation Sequencing (NGS) data analysis, and how can they be addressed?

A common challenge when working remotely in NGS data analysis is ensuring secure and efficient access to large datasets and high-performance computing resources. Collaborating with interdisciplinary teams, such as bioinformaticians, biologists, and IT staff, is also crucial and can be more complex in a remote environment. To address these challenges, remote analysts often use cloud-based platforms for data storage and analysis, establish clear communication channels with team members, and adhere to strict data security protocols. Regular virtual meetings and project management tools can also help maintain collaboration and project momentum.

What is Next Generation Sequencing (NGS) Data Analysis in a remote role?

Next Generation Sequencing (NGS) Data Analysis refers to the process of interpreting the massive amounts of data generated by high-throughput DNA sequencing technologies. In a remote role, professionals use specialized bioinformatics tools and computational methods to process, analyze, and visualize genomic data from their home or remote office. This involves tasks such as quality control, alignment of sequencing reads, variant calling, and downstream biological interpretation. Remote NGS data analysts often collaborate with researchers, clinicians, or pharmaceutical companies to support projects in genomics, personalized medicine, and biomedical research.

What are the key skills and qualifications needed to thrive as a Next Generation Sequencing (NGS) Data Analyst, and why are they important?

To thrive as a Next Generation Sequencing Data Analyst, you need a strong background in bioinformatics, molecular biology, and statistics, often supported by a degree in a life science or computational field. Familiarity with NGS platforms, data analysis tools (such as GATK, BWA, or SAMtools), scripting languages (Python, R), and experience with cloud-based or Linux environments are typically required. Problem-solving, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills and tools are essential for accurately processing and interpreting large genomic datasets, which drive discoveries and clinical decision-making.
More about Next Generation Sequencing Data Analysis Remote jobs
What cities are hiring for Next Generation Sequencing Data Analysis Remote jobs? Cities with the most Next Generation Sequencing Data Analysis Remote job openings:
What are the most commonly searched types of Next Generation Sequencing Data Analysis jobs? The most popular types of Next Generation Sequencing Data Analysis jobs are:
What states have the most Next Generation Sequencing Data Analysis Remote jobs? States with the most job openings for Next Generation Sequencing Data Analysis Remote jobs include:
What job categories do people searching Next Generation Sequencing Data Analysis Remote jobs look for? The top searched job categories for Next Generation Sequencing Data Analysis Remote jobs are:
Next Generation Sequencing Data Analysis Remote jobs near you
Infographic showing various Next Generation Sequencing Data Analysis Remote job openings in the United States as of July 2026, with employment types broken down into 5% Internship, 63% Full Time, 11% Part Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Computational Biology & Bioinformatics Lead

Computational Biology & Bioinformatics Lead

Institute for Protein Innovation

Boston, MA • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

The Institute for Protein Innovation (IPI)is a nonprofit research organization advancing protein science to accelerate research and improve human health. Founded in 2017 and located in Boston's Longwood Medical Area, the Institute's three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
With a significant endowment, IPI uniquely combines the freedom of academia with the high throughput and scale of industry to take on transformative projects. IPI has built a robust platform for discovering, developing, and distributing synthetic antibodies and other protein tools to share with the biomedical community. The Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond.
Purpose
Computational Biology & Bioinformatics Lead will help grow IPI's computational protein science team and be responsible for the machine learning and data systems that support work across the Institute. This includes the following functional teams: antibody and antigen discovery, protein characterization, neuroscience, lab automation and lab operations.
This role is responsible for training and applying foundation models for protein structure prediction and design, building models that predict biophysical properties from sequence and structure and turning large multimodal biological datasets into tools and portals that can be effectively utilized across the Institute.
This position provides a combination of hands-on technical work with team leadership skills to fulfill responsibilities and achieve goals.
The position will collaborate closely with the Associate Director & Program Manager of the Antibody Platform and reports to the Senior Director of the Antibody Platform.
Primary Responsibilities
  1. Train, fine-tune, and benchmark foundation models for protein folding and design, including structure prediction models and generative models for de novo binder and antibody design, and integrate these models for routine use in antigen and antibody discovery projects.
  2. Build and validate models that predict biophysical properties such as stability, aggregation, expression, binding affinity, and developability, using multimodal data across sequence, structure, next generation sequencing, proteomics, and assay results.
  3. Run in silico binder and antibody design campaigns and pair them with experimental rounds so predictions are tested and the results feed back into the models.
  4. Develop pipelines and platforms for in vitro antibody discovery data, protein biophysical characterization, proteomics, and next generation sequencing analysis.
  5. Build and maintain web portals and databases for large biological datasets, including IPI's external antigen and antibody catalogs (for example OpenAntigens) and internal research databases.
  6. Work with teams and groups across the Institute to design experiments, interpret and analyze results, and effectively integrate computational tools into established team workflows.
  7. Manage cloud and high-performance computing environments, including GPU infrastructure for model training and large-scale analysis.
  8. Lead and mentor a small team of computational biologists and bioinformaticians.
  9. Effectively present computational analyses to technical and non-technical audiences and contribute to publications, patents, and products.
  10. Establish standards for data management, version control, reproducibility, and MLOps in the group.
Qualifications
Required
  • PhD in computational biology, bioinformatics, biophysics, machine learning, or a related field, with a strong background in protein science or biochemistry.
  • 5 or more years of relevant experience, including experience leading or mentoring computational staff or serving as a technical lead. Direct experience managing a team of two to four people is a plus.
  • Strong Python and hands-on experience with deep learning frameworks such as PyTorch.
  • Experience developing, modifying, and applying protein machine learning models for structure prediction and design.
  • Experience building or training models on multimodal biological data, with a track record shown through publications, patents, or products.
  • Experience with de novo protein and antibody design and validation cycles.

Preferred. (strong candidates will bring several of these, but not all are required)
  • Experience with next generation sequencing analysis.
  • Experience building data portals, APIs, or databases for large biological datasets.
  • Experience with cloud computing and high-performance computing or GPU environments.
  • Familiarity with antibody discovery, proteomics, or protein biophysical characterization assays.
  • Experience integrating computational predictions with wet-lab workflows, including LIMS or ELN systems.

$200,000 - $240,000 a year
IPI provides competitive compensation and an excellent benefits package to support physical, mental and financial health. Highlights of benefits include:
• 100% employer-paid medical, dental, and vision plans
• Flexible spending accounts and a healthcare reimbursement account
• 401(k) plan with generous 6% employer match - immediately 100% vested
• Generous PTO package
• Commuter and parking reimbursement
• Career development opportunities
For more information, visit proteininnovation.org or follow us on social media, @ipiproteins. IPI is an independent 501(c)(3) nonprofit research organization and an equal-opportunity employer. The Institute celebrates diversity and is committed to creating an inclusive environment for all employees. Please be advised that you will be required to provide evidence of your identity and eligibility for employment in the United States. IPI will not guarantee sponsorship of foreign nationals and retains complete discretion regarding providing sponsorship to any prospective or existing employee at time of hire or at any time in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply