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Facs Software Jobs (NOW HIRING)

Infojini Inc

Security Support Analyst

Raleigh, NC · On-site

Infojini Consulting is recognized as one of the fastest growing IT services and software ... deployed for FACS project. Support to the Enterprise Application team, in respect to the ...

Predicta Biosciences

R&D Scientist

Cambridge, MA · On-site

Use FACS to identify rare cell populations for downstream single-cell RNA-seq and other NGS ... Familiarity with computational methods and software for analysis of flow cytometry and/or NGS data ...

US Tech Solutions

Support Analyst

Raleigh, NC · On-site

... deployed for FACS project. Support to the Enterprise Application team, in respect to the ... Escalate 3rd party software and hardware issues to Application Owner; insuring proper attention is ...

Broadridge

Production Equipment Technician

Edgewood, NY · On-site

$18.75 - $23.25/hr

You will also maintain/supervise operating software on Insertion/Finishing equipment. This is an on ... FACS supports our strong culture and allows us to achieve business goals while supporting ...

Integrated Resources INC

Biomarker Scientist

New Haven, CT · On-site

$35.50 - $44.50/hr

... perform FACS-based and other biomarker assays to support studies in New Haven CRU and external ... Experience in ELISpot Assays and FlowJo software a plus. Have a working knowledge of Microsoft ...

Integrated Resources INC

Biomarker Scientist

New Haven, CT · On-site

$35.50 - $44.50/hr

... FACS-based and other biomarker assays to support studies and external protocols if needed ... Experience in FACSCanto Flow Cytometer, and FACSDiva and FlowJo analysis software a plus. * Perform ...

Artech Information System LLC

Biomarker Scientist

Groton, CT · On-site

$35 - $44/hr

... perform FACS-based and other biomarker assays to support studies in New Haven CRU and external ... Experience in FACSCanto Flow Cytometer and FACSDiva software. Perform quality control checks on ...

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Facs Software information

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$48K

$111.8K

$166K

How much do facs software jobs pay per year?

As of Sep 14, 2026, the average yearly pay for facs software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is FACS software?

FACS software refers to specialized programs used to control and analyze data from Fluorescence-Activated Cell Sorting (FACS) instruments. These tools help scientists collect, visualize, and interpret the complex data generated when cells are sorted based on their properties. FACS software often includes features for gating, statistical analysis, and report generation, making it essential for research in immunology, cell biology, and related fields. Popular examples include BD FACSDiva, FlowJo, and FCS Express.

What are the key skills and qualifications needed to thrive as a FACS software specialist?

To thrive as a FACS Software Specialist, you need expertise in flow cytometry principles, data analysis, and a background in biology or biomedical sciences. Familiarity with FACS software platforms (such as BD FACSDiva or FlowJo), data management systems, and possibly certifications in cytometry are typically required. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for success in this role. These skills ensure accurate data interpretation, efficient workflow, and reliable support for scientific research or clinical diagnostics.

What are some common challenges faced by FACS software specialists when integrating new instruments or upgrades into existing laboratory workflows?

FACS Software Specialists often encounter challenges when integrating new instruments or software upgrades, such as ensuring compatibility with existing data management systems, minimizing workflow disruptions, and training staff on updated interfaces. Managing data integrity and security during transitions is also crucial, as is troubleshooting unexpected technical issues that may arise. Collaboration with IT, laboratory staff, and instrument vendors is essential to ensure a smooth transition and continued compliance with regulatory standards.

What is the difference between Facs Software vs Flow Cytometry Technician?

AspectFacs SoftwareFlow Cytometry Technician
Required CredentialsKnowledge of FACS software, often with technical training or certificationTypically requires a degree in biology, biotechnology, or related field; training in flow cytometry techniques
Work EnvironmentLaboratories, research facilities, biotech companiesLaboratories, hospitals, research institutions
Industry UsageUsed by scientists and technicians to analyze flow cytometry dataPerforms flow cytometry experiments and data collection

Facs Software professionals focus on operating and analyzing data from flow cytometry instruments, while Flow Cytometry Technicians perform the experiments and handle sample preparation. Both roles are essential in research and clinical labs, often working closely together but with different primary responsibilities.

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Facs Software jobs near you
Infographic showing various Facs Software job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 2% Part Time, 1% Temporary, and 10% Contract. Highlights an 92% In-person, 1% Hybrid, and 7% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Senior Image Analysis Software Engineer, NGNRI

Detroit, MI • On-site

Rock Connections
Telecommunications • 1 - 5K employees
Learn more about Rock Connectionsexternal

$121K - $159K/yr

Full-time

Posted 27 days ago

Key responsibilities

  • Design, develop, and maintain AI/ML-powered image analysis software supporting high-content microscopy and imaging platforms

  • Develop and optimize deep learning and image analysis algorithms for image segmentation, feature extraction, classification, and phenotypic analysis

  • Build and support scalable, high-throughput computational pipelines capable of processing large imaging datasets

Job description

The Senior Image Analysis Software Engineer is responsible for designing, developing, and deploying advanced image analysis solutions that support high-content microscopy screening and translational research initiatives. This role combines software engineering, artificial intelligence, machine learning, and scientific computing expertise to transform large-scale imaging data into actionable biological insights. Working closely with scientists, researchers, and digital technology teams, the incumbent develops scalable analysis pipelines, advances computational imaging capabilities, and enables data-driven discovery across the organization's research programs.

About therole

  • Design, develop, and maintain AI/ML-powered image analysis software supporting high-content microscopy and imaging platforms

  • Develop and optimize deep learning and image analysis algorithms for image segmentation, feature extraction, classification, and phenotypic analysis

  • Build and support scalable, high-throughput computational pipelines capable of processing large imaging datasets

  • Establish and maintain software quality standards through validation, testing, documentation, version control, and reproducible development practices

  • Collaborate with scientists, researchers, and technology teams to understand research objectives and translate scientific requirements into technical solutions

  • Support imaging data management, metadata standards, and long-term data accessibility and integrity in alignment with FAIR data principles

  • Evaluate emerging technologies, frameworks, and methodologies in image analysis, machine learning, and computational imaging to drive continuous innovation

  • Mentor junior engineers and contribute to a collaborative technical environment that promotes knowledge sharing and best practices

  • Assist with scientific communication activities, including research publications, presentations, and internal knowledge sharing

  • Contribute to the advancement of the organization's digital research ecosystem and image analysis capabilities

Aboutyou

Minimum Qualifications

  • 4 years of scientific software development experience in an academic, research, or industry environment

  • 2 years of experience developing image analysis algorithms and computational workflows

  • Demonstrated expertise in Python software development

  • Experience designing, training, and deploying deep learning models using PyTorch

  • Experience working with large-scale datasets and scalable computational pipelines

  • Experience with version control and collaborative software development practices

  • Strong communication skills with the ability to collaborate effectively with scientists and technical stakeholders

  • M.S. degree in Computer Science, Computational Biology, Bioinformatics, Data Science, or a related field

Preferred Qualifications

  • Ph.D. in Computer Science, Computational Biology, or a related discipline

  • Experience with 3D imaging, organoid imaging, or microscopy-based image analysis

  • Familiarity with bioimage analysis platforms and tools such as OMERO, CellProfiler, Fiji/ImageJ, scikit-image, napari, or OME-Zarr

  • Experience deploying software solutions within HPC, cloud, or containerized environments

  • Participation in open-source scientific computing or bioimage communities

  • Exposure to generative AI applications in scientific imaging

Whatyou'llget

Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put:We'vegot your back. Check out our full list ofBenefits and Perks.

Aboutus

The Nick Gilbert Neurofibromatosis Research Institute (NGNRI)is a nonprofit organization focused on developing treatments and cures for Neurofibromatosis type 1 (NF1) and other neurological disorders and cancers with significant unmet need. Backed by the Gilbert Family Foundation and created in partnership with Michigan State University (MSU) and Henry Ford Health (HFH), NGNRI brings together leading scientific and clinicalexpertiseto accelerate translational discovery.
Located within a new,state-of-the-artresearch facility in midtown Detroit, NGNRI offers a highly collaborative environment alongside MSU and HFH. The institute is equipped with advanced platforms-including organoid and stem cell models, AI-driven analysis, FACS, and CRISPR technologies-and provides access to extensive shared core facilities.
NGNRI supports both in-house researchers and visiting scientists, creating a dynamic, mission-driven ecosystem designed to advance innovation and deliver impact in an underserved field. As part of Detroit's rapidly growing medical research campus, NGNRI offers a unique opportunity to contribute tocutting-edgescience within a vibrant and expanding hub.

This job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, atCareers@Rocket.com.

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