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Data Associate Jobs in Silver Spring, MD (NOW HIRING)

Capital One

Data Analyst Associate - 2027

Mclean, VA · On-site

Data Analyst Associate - 2027 Key Role Details * Full-time new hires for this role will start as a cohort in a rotational program either February 2027 or August 2027. * This role is a full-time ...

Capital One

Data Analyst Associate - 2027

Mclean, VA · On-site

Data Analyst Associate - 2027 Key Role Details * Full-time new hires for this role will start as a cohort in a rotational program either February 2027 or August 2027. * This role is a full-time ...

Pewtrusts

Associate Director, Data Labs

Washington, DC · Hybrid

$167K/yr

The Associate Directoris responsible formanaging the team's junior and mid-level data scientists; weighing in on technical and methodological decisions across the team's various internally ...

Capital One

Principal Associate, Data Scientist

Mclean, VA · On-site

$59K - $60K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using ...

Capital One

Principal Associate, Data Scientist

Mclean, VA · On-site

$59K - $60K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using ...

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

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Data Associate information

See Silver Spring, MD salary details

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How much do data associate jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data associate in Silver Spring, MD is $34.19, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $40.53 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

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

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Silver Spring, MD? The most popular types of Data jobs in Silver Spring, MD are:
What job categories do people searching Data Associate jobs in Silver Spring, MD look for? The top searched job categories for Data Associate jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Associate jobs? Cities near Silver Spring, MD with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $71,119 per year, or $34.2 per hour.
Senior Clinical Data Manager

Senior Clinical Data Manager

Supernus Pharmaceuticals, Inc.

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Supernus Pharmaceuticals is an award-winning biopharmaceutical company with more than 30 years of experience in developing and commercializing products that treat central nervous system (CNS) diseases. At Supernus, we develop innovative products that help treat neurological and psychiatric conditions. At Supernus, we develop innovative products that help treat neurological and psychiatric conditions. We currently have 8 products in the market that are making a real impact on patient outcomes.
Job Summary:
To provide leadership, strategic direction, and oversight for end-to-end clinical data management activities throughout the lifecycle of clinical trials - from study start-up through trial execution and study closeout - ensuring quality, compliant, and timely clinical data delivery.
Essential Duties & Responsibilities:
  • Lead all data management (DM) activities for one or more clinical trials.
  • Contribute to developing study protocols, statistical analysis plans, and clinical study reports.
  • Collaborate with Database Development on study database, eCRF, and edit checks design.
  • Manage user acceptance testing (UAT) of study database with cross-functional team members (including Clinical Operations, Clinical Development, Drug Safety, and Biostatistics).
  • Manage cross-functional collaboration with internal team members (from Clinical Operations, Clinical Development, Drug Safety, and Biostatistics) and external vendors (for trial conduct).
  • Develop and enforce study timeline for all DM and/or DM-related milestones.
  • Develop and enforce all DM-related plans, agreements, and guidelines (e.g., data management plan [DMP], data quality plan [DQC], data transfer agreement [DTA], and electronic CRF completion guidelines [eCCG]).
  • Collaborate with Document Management team to archive DM-related documents in Trial Master File (TMF).
  • Write DM-related SOPs and/or Job aids and contribute to improving DM processes.

Non-Essential Duties & Responsibilities:
  • Attends and participates in internal and external training sessions.

Supervisory Responsibilities:
  • May supervise Clinical Data Associates as needed.
  • Provides leadership or management in an effective manner consistent with Company Values towards defined Corporate Objectives.
  • Understands Company Policy and procedure to be able to guide direct reports appropriately, if applicable.

Knowledge & Other Qualifications:
  • Master's degree with at least 6 years or Bachelor's degree with at least 8 years of in pharmaceutical, CRO, Biotech, or health related field or industry.
  • Strong experience in data captures systems and clinical data review.
  • Strong knowledge of industry standards such as GCP, GCDMP, and CDISC (CDASH and SDTM).
  • Working knowledge of medical terminology and coding (MedDRA/WHO-Drug).
  • Working knowledge of data privacy rules in relation to clinical data management.
  • Nursing/medical/biology background is a plus.
  • Strong project and risk management skills with great attention to detail.
  • Excellent interpersonal and communication skills in English language (writing, speaking, and comprehending).
  • Computer literate with proficiency of Microsoft Office package including Word, Outlook, and Excel.

Other Characteristics:
  • Ability to work independently and as part of a team.
  • Ability to maintain high ethical standards of integrity and quality.
  • Capable of performing other duties as assigned by management.
  • Capable of being innovative and dynamic in approach to work.
  • Authorized to legally work in the United States without visa sponsorship.

Physical Requirements / Work Environment:
  • Sedentary work. Exerting up to 10 pounds of force occasionally and/or carrying objects. Sedentary work involves sitting most of the time.
  • The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer screen, iPad, or other electronic device; and extensive reading.
  • The worker is not substantially exposed to adverse environmental conditions.

Compensation:
At Supernus, we offer a competitive compensation package that reflects your experiences and contributions. The expected salary range for fully qualified candidates applying for this role is $145,000 to $160,000. This range is what the Company reasonably expects to offer for the position and is not reflective of the full compensation scale of the role. This range may be modified in the future. An individual's salary within the range is based on multiple factors, which may include and are not limited to education, relevant experience, knowledge, length of industry experience and organizational needs.
You also will be able to participate in a competitive benefits package, including but not limited to: health, dental, vision, paid time off, 401k company match, company paid life insurance and health and wellness benefits. The total compensation package for this position also includes other compensation elements such as stock equity awards, employee stock purchase programs and participation in our Company's discretionary annual bonus program.
Supernus Pharmaceuticals is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, protected veteran status, age or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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