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Biotech Image Analysis Jobs (NOW HIRING)

H. T. PROF Group

Account Executive

Boston, MA · On-site

... into biotech, pharmaceutical, or academic research environments * Hands-on laboratory or research experience in biomedical sciences * Familiarity with digital pathology and image analysis ...

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Biotech Image Analysis information

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$759

$2.1K

$3.1K

How much do biotech image analysis jobs pay per week?

As of Sep 9, 2026, the average weekly pay for biotech image analysis in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What is biotech image analysis?

Biotech image analysis is the process of using computational tools and software to extract meaningful information from biological images, such as those obtained from microscopes or medical imaging devices. This field combines biology, imaging technology, and data analysis to help researchers understand cellular structures, measure molecular activity, and quantify changes in biological samples. It plays a crucial role in fields like drug discovery, genomics, pathology, and biomedical research. Image analysis can involve tasks such as segmentation, feature extraction, classification, and visualization of complex biological data.

What are the key skills and qualifications needed to thrive in biotech image analysis, and why are they important?

To thrive in Biotech Image Analysis, you need a strong background in biology, microscopy, and quantitative data analysis, usually supported by a degree in life sciences or bioinformatics. Familiarity with image analysis software (such as ImageJ, CellProfiler, or MATLAB), and experience with programming languages like Python or R, are commonly required. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting complex biological images and collaborating with research teams. These competencies are vital for extracting meaningful insights from visual data, supporting scientific discoveries, and ensuring accurate experimental results.

What are some common challenges faced in a biotech image analysis role, and how can new hires prepare for them?

Professionals in Biotech Image Analysis often encounter challenges such as managing large datasets, ensuring image data quality, and developing or adapting analysis pipelines for diverse biological experiments. New hires can prepare by familiarizing themselves with image processing software, statistical analysis tools, and programming languages like Python or MATLAB. Additionally, effective communication with biologists and lab teams is essential to understand experimental context and accurately interpret image results. Staying up-to-date with advancements in imaging technology and analysis algorithms will also help new analysts adapt to evolving project needs.

What is the difference between Biotech Image Analysis vs Biotech Data Scientist?

AspectBiotech Image AnalysisBiotech Data Scientist
Required CredentialsDegree in biology, bioinformatics, or related field; experience with imaging softwareDegree in computer science, statistics, or related; proficiency in programming and data analysis
Work EnvironmentLaboratories, research facilities, biotech companiesResearch labs, biotech firms, data-driven environments
Industry UsageFocuses on analyzing biological images for research and diagnosticsAnalyzes complex biological data sets for insights and decision-making

Biotech Image Analysts primarily focus on processing and interpreting biological images using specialized software, often working in laboratory settings. In contrast, Biotech Data Scientists handle large datasets, applying statistical and machine learning techniques to derive insights. Both roles are essential in biotech research but differ in their core skills and daily tasks.

What are popular job titles related to Biotech Image Analysis jobs?

For Biotech Image Analysis jobs, the most frequently searched job titles are:

Infographic showing various Biotech Image Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.

Laboratory Research Technician IV

Pittsburgh, PA

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Pittsburghexternal

Full-time

Re-posted 13 days ago

Job description

Laboratory research technician iv

The University of Pittsburgh School of Medicine seeks a Laboratory Research Technician IV to work in Pittsburgh, PA. Duties include designing/performing: (i) isolation, activation, and expansion of T cells (ii) cryopreservation, sub-culturing, and revival of various cell lines and primary cells; (iii) cell-based assays including cytotoxicity, cell viability, and  cell proliferation assays; (iv) immunofluorescence imaging using confocal microscopy and single-cell time-lapse imaging; (v) isolation and handling of PBMCs from human whole blood; (vi) multicolor flow cytometry, SDS-PAGE, western blot, multi-mode reader-based assays and various biochemical assays; and (vii) data analysis using Graphpad Prism, FlowJo, Excel and Image-J. 

Must have a master's degree (or foreign equivalent degree) in Biology, Biotechnology, or a related field plus one (1) year of experience in a related position. 

Must have any experience working with: (i) Cryopreservation, sub-culturing and revival of various cell lines, mammalian cell lines and primary cells; (ii) In-vitro assays such as cytotoxicity, cell viability, cell proliferation; (iii) Live cell time-lapse imaging for cell viability assays, spheroids, immune cell killing, co-culture assays and image analysis; (iv) Isolation of and assays using Peripheral Blood Mononuclear Cells (PBMCs) from human blood; (v) isolation and expansion of naive T cells, CD4 T cells, CD8 T cells, and regulatory T cells; (vi) Activation and expansion of T cells using Dynabeads and plate coated antigen; (vii) Screening of peptide pools, cytokine/chemokine profiling using LUMINEX, and direct, indirect, Quantikine, and sandwich ELISA assays; (viii) Seed, treat, fix, permeabilize, block and antibody staining/addition of cell lines and primary immune cells for multicolor flow cytometry of surface and intracellular markers using appropriate compensation and FMO controls for different multi-point in-vitro assays; (ix) Analysis of the flow cytometry data for receptor quantification and drug screening using Flow-Jo Software; (x) Preparing cells for molecular biology techniques such as SDS-PAGE, western Blot, protein/antibody quantification using Bradford/BCA assay and other multi-mode reader-based assays, bacterial transformation and cloning; and (xi) data analysis using Graphpad Prism and Excel. Image analysis using Image-J. 

Must be able to work weekends and holidays. 

Experience can be concurrent.

Apply at https://www.join.pitt.edu, #26003389

The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Must have a master's degree (or foreign equivalent degree) in Biology, Biotechnology, or a related field plus one (1) year of experience in a related position. 

Apply