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

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

AI Governance Sr Associate

Florham Park, NJ · On-site

$72K - $212K/yr

... Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory ...

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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 16, 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.

Associate Director, Clinical Scientist (Biomarker Integration, Neuroscience)

Jj

Raritan, NJ

Full-time

Retirement, PTO

Posted 4 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Clinical Development & Research - Non-MD

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson (J&J) is seeking an Associate Director, Clinical Scientist (Biomarker Integration, Neuroscience) to be located in Titusville, NJ; Raritan, NJ; Spring House, PA; San Diego, CA; or Cambridge, MA.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Our Neuroscience team tackles the world's toughest brain health challenges including multiple sclerosis, Alzheimer's disease, Parkinson's disease, myasthenia gravis, epilepsy, major depressive disorder, bipolar disorder, schizophrenia, and autism. This patient-focused team helps address some of the most complex diseases of our time.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Associate Director, Biomarker Integration, Neuroscience is responsible for leading the implementation of end-to-end biomarker strategies for assigned Neuroscience clinical development programs. This role partners cross-functionally to ensure biomarker integration aligned with clinical program objectives, regulatory requirements, and Precision Measures Plans. Close collaboration with Precision Measures, Global Development, Biospecimen Management, Clinical Scientists, Data Sciences, Statistics, Clinical Operations, Regulatory, Commercial, and external partners is required to ensure coordinated execution.

This role is a core member of the clinical team and may also participate in translational and/or diagnostic expert teams as required to support clinical program strategy and execution.

Duties and responsibilities include, but are not limited to the following:

  • Drives the incorporation of biomarker strategies into study design, execution, and reporting. This includes contributing to key clinical and operational documents, overseeing assay selection and validation, and ensuring high-quality biomarker data generation, analysis, and interpretation to support decision-making.

  • Responsible for analysis, interpretation and reporting of fluid & tissue biomarker data in assigned NS clinical development programs and for implementing the sample retention strategy.

  • Responsible for the translation and implementation of non-medical scientific concepts into the study design and/or program across planning, execution, and reporting including integration of biomarkers, digital technologies, data science initiatives, and select vendor's clinical strategies.

  • Responsible for scientific oversight of external vendors and contract laboratories, ensuring appropriate assay methodologies, data quality, and timely delivery of results.

  • Manages biospecimen strategy implementation, including sample retention, inventory management, and end-to-end tracking for all human samples from clinical development programs, including budgetary and contractual oversight and governance, to maximize the long-term value of clinical samples across the portfolio.

  • Serves as a key interface between Precision Measures and Clinical Development for assigned programs, ensuring effective knowledge transfer of validated biomarker assays and enabling consistent implementation across programs.

  • Develops and delivers training on topics related to biomarker integration to clinical teams and cross-functional stakeholders.

Education and Experience:

  • PhD Degree is required with a minimum of 6 years industry experience

  • A minimum of 8 years of drug discovery & development experience is strongly preferred

  • Experience with biomarker development and implementation and clinical development is required; experience with IVD or diagnostics development preferred

  • Neuroscience experience is strongly preferred

  • Exceptional analytical and critical thinking skills, with the ability to translate complex data and information into actionable insights for independent decision making

  • Excellent interpersonal skills, with the ability to build strong relationships and influence without reporting authority

  • Exceptional communication and presentation skills, with the ability to clearly articulate complex ideas to cross functional teams and stakeholders.

  • Proven experience and expertise in managing in a matrix organizational structure

Required Technical Knowledge and Skills

  • Fluent in written and spoken English

  • Working knowledge of the use of Microsoft suite of software products including Excel and Word

  • Experience and knowledge of Good Clinical Practices and regulatory requirements for the conduct of clinical trials and for the appropriate contributions to regulatory filings

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

  • Belgium- Requisition Number: R-082556

  • United States- Requisition Number: R-080001

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

#LI-Hybrid

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits