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Data Scientist Contractor Jobs (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall develop and refine predictive models, conduct exploratory data analysis, and ...

SOSi

Data Scientist

Myrtle Point, OR

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall develop and refine predictive models, conduct exploratory data analysis, and ...

SOSi

Data Scientist

OR

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall develop and refine predictive models, conduct exploratory data analysis, and ...

T1D Exchange

Research Scientist, Contractor

Boston, MA · On-site

$70 - $90/hr

... and scientific dissemination. What you'll do * Develop and execute research projects from ... Conduct or support quantitative and qualitative data analysis and interpret study findings.

The Metamorphosis Group Inc

Data Scientist

Vienna, VA

$150K - $195K/hr

NoThe Metamorphosis Group, Inc, is seeking a Senior Data Scientist to join and exciting program ... In addition, the Contractor shall design and implement advanced design configurations for complex ...

Radiance Technologies

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

... Contracting, Defense Industrial Base, and Private Sector. We are comprised of 90% Veteran staff and ... Data Scientist Sphinx Data Scientists provide an array of data analytics, engineering, mining, and ...

Radiance Technologies

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and ...

JTEC Consulting LLC

Data Scientist

Mclean, VA · On-site

Responsibilities : • Work as part of a blended team of government and contractor personnel including data scientists, data engineers, and analysts • Support a range of activities and hands-on ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

Cymertek Corporation is a trusted federal contractor offering consulting services in information technology and cybersecurity. They are seeking a talented Data Scientist to analyze, model, and ...

Kepora

Data Scientist

Mclean, VA

NO The Contractor shall work closely with the Sponsor,Aos data scientists and technical team to implement requirements; however, the Sponsor,Aos GTM will manage the priorities. ,AThe Contractor shall ...

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Data Scientist Contractor information

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How much do data scientist contractor jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist contractor in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist contractor?

To thrive as a Data Scientist Contractor, you need strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience using data visualization tools, and familiarity with cloud platforms or big data frameworks are typically required, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer. Outstanding problem-solving skills, adaptability, and effective communication set top contractors apart, enabling them to translate complex data into actionable insights for clients. These skills and qualities are crucial for delivering impactful, timely solutions and building client trust in dynamic project environments.

What is a data scientist contractor?

Data Scientist Contractors are professionals hired on a temporary or project basis to analyze and interpret complex data, build predictive models, and provide actionable insights for organizations. Unlike full-time employees, contractors typically work for a defined period or on specific projects, often bringing specialized expertise. They may help with data cleaning, statistical analysis, machine learning, and data visualization, adapting quickly to different business environments. Hiring a contractor allows companies to access advanced analytical skills without committing to permanent employment.

What is the difference between Data Scientist Contractor vs Data Analyst Contractor?

AspectData Scientist ContractorData Analyst Contractor
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentProject-based, often remote or on-site, working on complex data modeling and predictive analyticsProject-based or ongoing, typically in office or remote, focusing on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, healthcare, and other industries requiring data reporting

In summary, Data Scientist Contractors focus on advanced analytics, machine learning, and predictive modeling, requiring more specialized skills and credentials. Data Analyst Contractors primarily handle data reporting, visualization, and basic analysis. Both roles are project-based and often remote, but differ in complexity and technical requirements.

How does a data scientist contractor typically integrate with existing teams and projects?

As a Data Scientist Contractor, you are often brought in to address specific project needs or to provide specialized expertise that the existing team may lack. You will usually collaborate closely with full-time data scientists, engineers, and business stakeholders, contributing to ongoing projects or initiating new analyses. Effective communication and adaptability are key, as contractors need to quickly understand project goals, integrate with established workflows, and deliver actionable insights within set timelines. This role offers exposure to diverse projects and can help expand your professional network, but may also require rapid onboarding and self-directed learning.
More about Data Scientist Contractor jobs
What cities are hiring for Data Scientist Contractor jobs? Cities with the most Data Scientist Contractor job openings:
What job categories do people searching Data Scientist Contractor jobs look for? The top searched job categories for Data Scientist Contractor jobs are:
Data Scientist Contractor jobs near you
Infographic showing various Data Scientist Contractor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA • On-site

$64K - $64K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Position Title: Data Scientist Contractor, Computational Biology (6-month contract)
Reports To: Senior Director, Head of Data Sciences
Location: Cambridge, MA
Join the adventure!
CAMP4 is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology, Bioinformatics, or Systems Biology, to support the processing, analysis, visualization, and interpretation of next-generation sequencing datasets. This assignment will have a particular focus on RNA-seq, scRNAseq, and long-read sequencing data, including Nanopore and PacBio platforms.
The successful candidate will apply state-of-the-art computational tools and, where needed, develop fit-for-purpose analytical approaches to interrogate complex genomics datasets. This role will help generate focused biological hypotheses to support target identification, target validation, and drug discovery programs. The candidate will work closely with experimental biologists and data scientists to systematically apply hypothesis-driven genomics approaches to advance CAMP4’s understanding of transcriptional mechanisms of disease and therapeutic strategies derived from them.

Key Responsibilities:
  • Process, analyze, visualize, and interpret next-generation sequencing (NGS) datasets, with an emphasis on bulk RNA-seq, scRNAseq, and long-read RNA sequencing, including Nanopore and PacBio sequencing data.
  • Execute bioinformatics analyses according to predefined analysis plans, including quality control, alignment, quantification, differential expression analysis, isoform/transcript analysis, splicing analysis, and integrative interpretation of results.
  • Collaborate closely with cross-functional teams, including experimental biologists, computational scientists, and project teams, to develop, refine, and execute research plans.
  • Provide clear biological interpretation and scientific context for computational results to support target discovery, validation, and mechanistic understanding.
  • Evaluate, implement, and apply new bioinformatics methods, tools, and emerging technologies relevant to transcriptomics, long-read sequencing, and functional genomics.
  • Develop scripts, workflows, and software tools where gaps exist to enable reproducible and scalable data analysis.
  • Provide conceptual input into analysis plans, including analytical strategy, study design, prioritization, and interpretation of key results.
  • Participate in cross-functional discussions to refine project goals, identify key priorities, and communicate findings effectively to both computational and experimental scientists.
  • Demonstrate strong ownership, attention to detail, and a sense of urgency in delivering high-quality analyses that support the discovery of breakthrough medicines for patients.
Qualifications:
Education amp; Experience
  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related field with 3+ years of relevant industry or postdoctoral experience.
Skills amp; Competencies
  • Strong hands-on experience analyzing NGS datasets, especially RNA-seq, scRNAseq, and long-read sequencing data from Nanopore and/or PacBio platforms.
  • Familiarity with long-read sequencing tools and workflows for transcript discovery, isoform characterization, or full-length transcript analysis is highly desirable.
  • Experience with additional functional genomics datasets, such as ATAC-seq, ChIP-seq, and PRO-seq.
  • Solid background in statistics and strong programming skills in Python and/or R.
  • Experience working in a Linux environment and using high-performance computing clusters and/or cloud computing platforms such as AWS.
  • Familiarity with human genome annotation resources, biological pathway databases, and systems biology concepts.
  • Strong commitment to reproducible research, best practices in software development, documentation, and version control.
  • Excellent collaboration and communication skills, with the ability to explain computational results clearly to experimental scientists and cross-functional teams.
  • Strong attention to detail, high professional integrity, and commitment to excellence in execution.
  • Creative and solution-oriented with the ability to develop fit-for-purpose approaches for diverse data and project needs.
  • Passionate about applying computational biology and genomics to translate fundamental scientific discoveries into medicines that improve patients’ lives.
Compensation:
Pay rate for this role will be determined based on the candidate’s skills and experience.

About CAMP4:
CAMP4 is developing disease-modifying treatments for a broad range of genetic diseases where amplifying healthy protein may offer therapeutic benefits. Our approach amplifies mRNA by harnessing a fundamental mechanism of how genes are controlled. To amplify mRNA, our therapeutic ASO drug candidates target regulatory RNAs (regRNAs), which act locally on transcription factors and are the master regulators of gene expression. CAMP4’s proprietary RAPTM Platform enables the mapping of regRNAs and design of optimal chemistry to generate potent therapeutic candidates to address hundreds of genetic diseases across multiple tissues. Learn more about us at www.camp4tx.com and follow us @CAMP4tx.

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