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Independent Contractor Computer Science Jobs in Massachusetts

... 1, Computer Science and Artificial Intelligence Lab , to join the FutureTech Group to conduct ... require independent judgment in evaluating, selecting, and substantially modifying standard ...

... Psychology, Computer Science, and Chemistry, and will be a key contributor to data literacy ... independent learning. As part of the deeply merged Research and Instruction Support team of ...

... Psychology, Computer Science, and Chemistry, and will be a key contributor to data literacy ... independent learning. As part of the deeply merged Research and Instruction Support team of ...

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Independent Contractor Computer Science information

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How much do independent contractor computer science jobs pay per week?

As of Aug 10, 2026, the average weekly pay for independent contractor computer science in Massachusetts is $1,189.69, according to ZipRecruiter salary data. Most workers in this role earn between $788.46 and $1,323.08 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an independent contractor computer science?

To thrive as an Independent Contractor in Computer Science, you should possess strong programming skills, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and relevant certifications (such as AWS Certified Developer or CompTIA Security+) is highly valuable. Excellent time management, adaptability, and clear communication skills are crucial for client relations and self-directed project management. These qualifications enable independent contractors to deliver high-quality, timely solutions that meet diverse client needs in a competitive market.

What is an independent contractor computer science?

An Independent Contractor in Computer Science is a self-employed professional who provides specialized computer science services to clients on a contract basis. This role can include software development, cybersecurity, data analysis, IT consulting, and other technical work. Unlike full-time employees, independent contractors have the flexibility to choose projects, set their own schedules, and work with multiple clients. They are responsible for managing their own taxes, benefits, and business expenses. Contracts can vary in length, from short-term assignments to long-term engagements, depending on the project's scope and client needs.

What are some common challenges faced by independent contractor computer science professionals?

Independent Contractor Computer Science professionals often navigate challenges such as managing multiple clients simultaneously, adapting quickly to new technologies or project requirements, and ensuring clear communication despite working remotely. Setting boundaries to maintain work-life balance and negotiating contracts or payment terms are also key considerations. Additionally, independent contractors are responsible for continually updating their skills and marketing themselves to secure new projects. Successfully overcoming these challenges requires strong organization, ongoing professional development, and proactive client management.

What are the most commonly searched types of Computer Science jobs in Massachusetts? The most popular types of Computer Science jobs in Massachusetts are:
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Infographic showing various Independent Contractor Computer Science job openings in Massachusetts as of August 2026, with employment types broken down into 41% Full Time, 23% Part Time, and 36% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $61,864 per year, or $29.7 per hour.

Senior Scientist, Computational Biology - Contract

Tessera Therapeutics

Somerville, MA

Full-time

Re-posted 14 days ago


Job description

Your experience includes... 

  • PhD with 5+ years of experience in academic or industry setting, MS with 10+ years of experience or BS with 12+ years of experience
  • Broad knowledge of genome editing technologies and associated off-target discovery assays (i.e. WGS; targeted sequencing; GUIDE-seq, Digenome-seq discovery / verification; large and small structural variations and translation effects; NGS QC)
  • Hands-on experience developing, executing, and troubleshooting NGS analysis pipelines in cloud-based environments.
  • Experience with workflow tools such as Nextflow, Dagster, or equivalent systems.
  • Experience with AWS/cloud computing, version control, reproducible analysis practices, and software development best practices.

You are interested in... 

  • Developing computational biology pipelines with leading cloud technologies (i.e. Dagster, Nextflow) and state-of-the-art control systems software and procedures (i.e. CI/CDs, unit tests, etc.).
  • Becoming part of a dynamic, expanding team in a fast-paced and supportive environment with different groups and experts from various backgrounds.
  • Working both independently and as part of a collaborative, multi-disciplinary team to design, analyze, and interpret multi-omics technologies focused on understanding gene writing systems.
  • Developing the computational methods to understand and model gene writing events
  • Processing, analyzing, and interpreting data from a wide variety of research and preclinical projects to develop rigorous hypotheses.
  • Collaborating closely with experimental scientists to ensure that data is effectively utilized for high-level impact.
  • Presenting scientific findings to broad audiences, including senior leadership, to drive decision making in program teams.
  • It's a bonus if you can use AI agents for your work.

About you: 

We are seeking a highly motivated scientist with a strong computational background and significant experience in biological research. As part of the Computational Biology team, you will collaborate closely with Platform teams to advance our technologies and deepen our understanding of reagent biology. Your role will involve (1) working with biologists to design and run experiments, (2) developing methods and tools for processing and interpreting molecular data, and (3) presenting findings to an interdisciplinary audience. Your curiosity and passion will fuel your discoveries, while strong connections with biologists and data/software engineers will amplify the impact of your work.

Tessera employees are creative and collaborative problem solvers. They have a strong sense of integrity and unwavering commitment to scientific excellence. 

Meet your Manager:

All inquiries regarding the posted position should be directed to the Talent Partner (see below). Interested individuals must apply directly to be considered for the opening. 

Andrea Calabria, Senior Director, Data Sciences

Andrea holds a B.Sc. and M.Sc. in Engineering from the Polytechnic University of Milan, Italy, and a Ph.D. in Computer Science from the University of Milan-Bicocca, with a focus on computational biology. He has more than 15 years of experience in gene therapy, computational genomics, and genomic safety. Before joining Tessera, Andrea worked at the San Raffaele Telethon Institute for Gene Therapy in Milan, where he led molecular follow-up analyses for patients enrolled in clinical gene therapy studies. His work focused on viral vector safety, insertional mutagenesis, and human hematopoietic stem cell dynamics in vivo. Andrea joined Tessera in 2023 and leads the Computational Biology team. His group supports drug candidate programs through genotoxicity risk assessment, develops computational approaches to study gene writing biology, and builds scalable data and analysis infrastructure to support molecular assay design and knowledge mining. Andrea has authored numerous scientific publications and has an h-index of 26. His ORCID is https://orcid.org/0000-0003-3515-3384.

Meet our Leadership Team and Board of Directors 

Meet your Talent Partner:

Ben Hoogheem - Senior Director, Head of Talent Management

As Head of Talent Management at Tessera Therapeutics, Ben leads Tessera's talent strategy across talent acquisition, performance management, and talent mobility.

Ben began his career as an in vivo Pharmacologist, which gave him a lasting appreciation for the rigor, creativity, and collaboration that drive scientific discovery. That foundation continues to shape how he helps build organizations designed to enable science thrive.

Ben is focused on aligning exceptional people with bold science - creating the structure, clarity, and culture that empower teams to scale effectively and achieve meaningful impact.

Compensation:

The stated pay range represents Tessera's good-faith estimate for this role. Actual compensation will be determined based on a number of factors, including but not limited to individual qualifications, years of relevant experience, internal compensation alignment, and external market data.

Pay Range: $74.00 - $80.00 USD per hour