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Entry Level Bioinformatics Jobs in Cambridge, MA

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Entry Level Bioinformatics information

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$65K

$103.3K

$163.4K

How much do entry level bioinformatics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level bioinformatics in Cambridge, MA is $103,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $141,500.00 per year, depending on experience, location, and employer.

What is an entry level bioinformatics?

An entry-level bioinformatics job involves analyzing biological data using computational tools and techniques. Professionals in this role work with large datasets, such as genomic sequences or clinical data, to identify patterns and extract meaningful insights. Common responsibilities include programming, statistical analysis, and using bioinformatics software to support research or healthcare applications. Entry-level bioinformaticians often work in academic institutions, pharmaceutical companies, or biotech firms. Strong skills in coding (Python, R) and familiarity with biological concepts are typically required.

What does an entry level bioinformatics do?

As an Entry Level Bioinformatics professional, your day-to-day work may include processing and analyzing large biological datasets, running computational pipelines, and generating visualizations or reports based on your findings. You will often collaborate with biologists, data scientists, and other researchers to interpret results and refine methods. Routine tasks may also involve database management, literature reviews, and learning new bioinformatics tools or programming techniques. This variety helps build your technical expertise and provides insight into the research and development process within the life sciences sector.

What are the key skills and qualifications needed to thrive in entry level bioinformatics?

To thrive as an Entry Level Bioinformatics professional, you need foundational knowledge in biology, statistics, and programming (often with a degree in a life sciences or computational field). Familiarity with tools such as Python or R, bioinformatics databases, and platforms like BLAST or Geneious is commonly required, and certifications in computational biology or data analysis can be a plus. Strong problem-solving skills, attention to detail, and the ability to communicate technical results to diverse teams help you stand out. These capabilities ensure you can analyze complex biological data accurately and collaborate effectively within multidisciplinary research environments.

What are the most commonly searched types of Bioinformatics jobs in Cambridge, MA?

The most popular types of Bioinformatics jobs in Cambridge, MA are:

What are popular job titles related to Entry Level Bioinformatics jobs in Cambridge, MA?

For Entry Level Bioinformatics jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Bioinformatics jobs in Cambridge, MA look for?

The top searched job categories for Entry Level Bioinformatics jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Entry Level Bioinformatics jobs?

Cities near Cambridge, MA with the most Entry Level Bioinformatics job openings:

Entry Level Bioinformatics jobs near you
Infographic showing various Entry Level Bioinformatics job openings in Cambridge, MA as of August 2026, with employment types broken down into 47% Full Time, 42% Part Time, and 11% Contract. Highlights an 41% Physical, 2% Hybrid, and 57% Remote job distribution, with an average salary of $103,258 per year, or $49.6 per hour.

Technician I or II - Spatial Omics/MERFISH- Sun Lab (Relocation Assistance Available)

Whitehead Institute

Cambridge, MA

$55K/yr

Full-time

Posted 16 days ago

Job description

Classification:

Exempt

Job Family:

Technicians

Reports to:

AI Whitehead Fellow

Job Description Summary:

OVERALL RESPONSIBILITY
Collaborate on short- and long-term research projects to support the scientific objectives of the laboratory. Perform spatial transcriptomics experiments and associated molecular biology procedures, with a focus on MERFISH and related technologies. Support the development, optimization, and execution of imaging-based transcriptomics workflows and associated data preprocessing pipelines, ensuring high-quality experimental data generation that supports computational modeling and biological discovery. Depending on experience level, the technician may contribute to protocol development, computational workflows, and experimental design.
RESEARCH BACKGROUND AND GOALS
The Sun Lab seeks a highly motivated Spatial Omics Technician interested in combining experimental biology (80%) with computational analysis (20%). Our research focuses on understanding how cells communicate and organize within tissues using large-scale spatial transcriptomics and single-cell genomics technologies.
The successful candidate will contribute to establishing and scaling MERFISH-based experiments, including probe design, tissue processing, imaging workflows, and data preprocessing. This position provides opportunities for hands-on training with cutting-edge spatial transcriptomics technologies for early career candidates, while offering experienced candidates the opportunity to independently optimize workflows and contribute to technology development in close collaboration with computational researchers developing AI models to interpret these datasets.

CHARACTERISTIC DUTIES

  • Perform spatial transcriptomics experiments, including MERFISH sample preparation, hybridization, and imaging workflows
  • Prepare tissue samples (e.g., cryosectioning, fixation, staining) for spatial transcriptomics experiments
  • Assist with or perform probe design and optimization for MERFISH and related spatial technologies
  • Assist with, run, and maintain spatial transcriptomics preprocessing pipelines, including decoding, segmentation, and quality control
  • Organize and manage spatial imaging datasets and associated metadata
  • Develop, implement or modify or implement scripts for probe design, data preprocessing, and quality assessment, as appropriate based on experience
  • Work closely with computational team members to ensure data compatibility with downstream analysis pipelines
  • Maintain detailed experimental documentation and protocols
  • Present experimental progress and results to lab members and collaborators
  • Contribute to the development and optimization of experimental workflows, consistent with experience and level of responsibility

QUALIFICATIONS

  • BSc or MSc (or equivalent) in Molecular Biology, Bioengineering, Genomics, Bioinformatics, or a related field
  • Experience with molecular biology techniques such as RNA handling, hybridization assays, or microscopy
  • Experience with spatial transcriptomics technologies (e.g., MERFISH, Xenium, Slide-seq, seqFISH, or related platforms) is preferred for more experienced candidates but not required for entry-level
  • For Technical Assistant II level candidates: Demonstrated experience independently performing complex molecular biology workflows, troubleshooting experiments, optimizing protocols, and/or working with computational or image analysis pipelines is preferred
  • Basic programming or scripting experience (e.g., Python, R, or MATLAB) is preferred
  • Experience with image analysis or bioinformatics tools is a plus
  • Strong organizational and problem-solving skills
  • Ability to work independently and collaboratively in an interdisciplinary research environment
  • Excellent communication skills and attention to detail

The title (Technician I or Technician II) will be determined based on the candidate's education, prior experience, technical expertise, and demonstrated independence.

Whitehead provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, and internal peer equity. This pay range represents base pay only and does not include any other benefits or compensation.

  • Pay Range Minimum: $47,500

  • Pay Range Maximum: $55,000


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