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Contract Scientist Jobs (NOW HIRING)

Senior Scientist

San Diego, CA

$97K - $132K/yr

Scientist/Senior Scientist (Contract-to-Hire) Location: Rancho Bernardo, San Diego, CA -- Relocation Candidates will not be considered Schedule: 5 days onsite | 40-hour work week Employment Type: 6 ...

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Contract Scientist information

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$13

$39

$68

How much do contract scientist jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for contract scientist in the United States is $39.12, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $43.99 per hour, depending on experience, location, and employer.

What is a Contract Scientist job?

A Contract Scientist is a professional hired on a temporary or project-based basis to conduct scientific research, experiments, or analysis for an organization. They typically work in industries like pharmaceuticals, biotechnology, environmental science, or government agencies. Their responsibilities may include data analysis, technical reporting, and collaborating with research teams. Unlike full-time employees, contract scientists often work on specific projects with defined timeframes. This role offers flexibility but may not include long-term job security or benefits.

What is the typical work environment for a Contract Scientist, and how does a contract role differ from a permanent scientist position?

Contract Scientists usually work in laboratory or research settings, often as part of project-based teams in sectors such as pharmaceuticals, biotechnology, or environmental science. Unlike permanent positions, contract roles typically focus on specific projects with defined timelines, offering exposure to diverse research topics and methodologies. This arrangement can provide valuable opportunities to build your network, gain a variety of industry experiences, and enhance your technical skill set. However, contract roles may come with less job security and fewer long-term benefits, making adaptability and self-motivation important for success.

What are the key skills and qualifications needed to thrive in the Contract Scientist position, and why are they important?

To excel as a Contract Scientist, you need a solid background in scientific research, analytical techniques, and data interpretation, typically supported by an advanced degree in a relevant field such as biology, chemistry, or engineering. Familiarity with laboratory equipment, statistical software (e.g., R or SPSS), and industry-specific certifications like Good Laboratory Practice (GLP) are often required. Strong problem-solving abilities, adaptability, and excellent communication skills help Contract Scientists effectively collaborate and deliver results on varied projects. These competencies ensure accurate, timely research outputs and seamless integration within multidisciplinary teams and fast-paced, results-driven environments.

More about Contract Scientist jobs
What cities are hiring for Contract Scientist jobs? Cities with the most Contract Scientist job openings:
What are the most commonly searched types of Scientist jobs? The most popular types of Scientist jobs are:
What states have the most Contract Scientist jobs? States with the most job openings for Contract Scientist jobs include:
Infographic showing various Contract Scientist job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 2% Part Time, 3% Temporary, and 31% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $81,362 per year, or $39.1 per hour.

Data Scientist - Sunnyvale, CA - W2 Contract

Rootshell Enterprise Technologies, Inc.

Sunnyvale, CA โ€ข On-site

Other

Posted 18 days ago


Job description

Job Title: Data Scientist
Location: Sunnyvale, CA
12 Months
W2 Contract
Minimum Qualifications
  • BA or BS degree in statistical analysis, computer science, data science, or related field.
  • 7+ years experience in deploying data science, machine learning, or anomaly detection techniques to solve practical business problems.
  • Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences.
  • Proficiency in SQL, preferably in Snowflake.
  • Experience with anomaly and outlier detection methods and algorithms.
  • Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn.
  • Experience in quantitative data analysis, possessing a strong ability to conduct in-depth evaluations of complex issues.
  • Have a creative approach to engineer innovative features and signals into analytical solutions, pushing the boundaries of current tools and methodologies.
  • Applied knowledge of statistical data analysis to perform trend and anomaly identification, predictive modeling, and hypothesis testing.
  • Proven ability to make data-driven, convincing arguments to drive process changes.
  • Demonstrated experience in leading data science projects through all phases including exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.

Preferred Qualifications
  • Experience with Docker, Kubernetes, Airflow.
  • Experience with front end libraries such as React or Streamlit.
  • Experience with LLMs and Graph Databases.
  • Demonstrated ability to implement, improve, debug, and maintain machine learning models.
  • Highly Proficient in Tableau.