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Data Science Associate Jobs in Washington, NJ (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

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Data Science Associate information

See Washington, NJ salary details

$55.7K

$65.9K

$125K

How much do data science associate jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data science associate in Washington, NJ is $65,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $57,700.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What cities near Washington, NJ are hiring for Data Science Associate jobs? Cities near Washington, NJ with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Washington, NJ as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $65,925 per year, or $31.7 per hour.

HTP Production Associate Scientist - Automation Workflows

GenScript/ProBio

Piscataway, NJ • On-site

$60K - $75K/yr

Other

Posted 16 days ago


Job description

Genscript is seeking a motivated and detail-oriented HTP Production Associate Scientist to join our dynamic US Protein Department in Piscataway, New Jersey.

The estimated salary range is $60,000 - $75,000, depending on experience. 

Reporting to: Supervisor of HTP Platform
Employment Type: Full-time

Role Description:

We are seeking a detail-oriented and proactive Associate Scientist to join our High-Throughput Protein Production Laboratory. This role supports automation-driven workflows for recombinant protein generation using advanced liquid handling platforms. The successful candidate will contribute to large-scale, high-throughput protein production processes, including upstream handling, purification, and downstream analytical characterization.

This position operates in a highly process-driven environment where automation, aseptic technique, and robust sample tracking are critical. The ideal candidate is comfortable working with automated laboratory systems, possesses strong organizational skills, and has experience with laboratory data management platforms such as ELN, LIMS, or similar systems.

Key Responsibilities:

  1. Execute high-throughput protein production workflows using automated liquid handling systems (e.g., Lynx platform) in a reproducible and efficient manner.
  2. Operate and monitor automated protocols for processes including:
  3. Mammalian cell culture handling
  4. Protein purification workflows
  5. Sample aliquoting and distribution
  6. Perform laboratory operations under aseptic conditions to support recombinant protein expression and processing activities.
  7. Monitor automated runs and identify workflow deviations, ensuring adherence to established SOPs and quality standards.
  8. Manage high-throughput sample workflows, including sample tracking, plate mapping, labeling, and inventory control to ensure traceability and data integrity.
  9. Document experimental procedures and process parameters accurately in ELN, LIMS, or equivalent systems in compliance with data integrity requirements.
  10. Support maintenance, calibration, and troubleshooting of automation platforms and associated laboratory equipment.
  11. Collaborate with cross-functional teams (analytical, process development, and operations) to meet project timelines and deliverables.
  12. Contribute to continuous improvement initiatives, including workflow optimization, automation efficiency, and process scalability.

Qualifications:

  1. BS or MS in Biochemistry, Biotechnology, Analytical Chemistry, or a related field with 2+ years of relevant laboratory experience in protein production or characterization.
  2. Hands-on experience with automated liquid handling systems (e.g., Dynamic Devices Lynx, Hamilton, Tecan) is strongly preferred.
  3. Familiarity with protein production workflows, including mammalian cell culture, purification, or high-throughput screening environments.
  4. Experience with laboratory data systems such as ELN, LIMS, or similar platforms.
  5. Strong attention to detail, organizational skills, and commitment to data integrity and traceability.
  6. Experience in a CRO/CDMO or high-throughput platform environment is a plus.

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