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Entry Level Statistical Programmer Jobs in New York

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate Job Description & Summary The Opportunity As an AI Data Scientist Senior Associate, you will leverage advanced

Our client is a systematic asset management company utilizing cutting edge technology, data and people seeking to generate exceptional risk adjusted returns for their investment partners. Their team

Our client is a systematic asset management company utilizing cutting edge technology, data and people seeking to generate exceptional risk adjusted returns for their investment partners. Their team

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Entry Level Statistical Programmer information

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What is SAS developer salary?

SAS developers, including entry-level statistical programmers, typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. Proficiency in SAS software, data analysis, and programming skills can influence salary levels for this role.

What does an Entry Level Statistical Programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an Entry Level Statistical Programmer, and why are they important?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

Will AI replace SAS programmers?

Entry level statistical programmers using SAS perform tasks such as data management, analysis, and reporting that require domain knowledge and programming skills. While AI tools can assist with automating repetitive tasks, they are unlikely to fully replace SAS programmers in complex analysis, interpretation, and validation roles that require critical thinking and expertise. Developing skills in programming, data management, and understanding statistical methods remains valuable in the evolving job market.

Are SAS programmers in demand?

SAS programmers, including entry-level statistical programmers, are in steady demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and regulatory compliance are critical. Proficiency in SAS, along with knowledge of statistical methods and data management, enhances job prospects as organizations seek skilled professionals to handle large datasets and support clinical trials. Demand for SAS skills remains strong due to its widespread use in regulated environments and ongoing need for data analysis expertise.

Is SAS in high demand?

SAS is a widely used statistical software in industries such as healthcare, finance, and pharmaceuticals, making skills in SAS highly sought after for entry-level statistical programmer roles. The demand for SAS programmers remains strong due to its extensive use in data analysis, regulatory compliance, and clinical trials, though some organizations are also adopting open-source tools like R and Python. Proficiency in SAS can improve job prospects and salary potential in data-focused roles.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.
What are the most commonly searched types of Statistical Programmer jobs in New York? The most popular types of Statistical Programmer jobs in New York are:
What are popular job titles related to Entry Level Statistical Programmer jobs in New York? For Entry Level Statistical Programmer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in New York look for? The top searched job categories for Entry Level Statistical Programmer jobs in New York are:
Java SPring boot devops developer/Python programmer

Java SPring boot devops developer/Python programmer

SynergisticIT

Manhattan, NY

$90K - $150K/yr

Other

Posted 27 days ago


Job description

Laid Off or Let Go? Career Gap? SynergisticIT Helps Tech Professionals Get Rehired by Top U.S. Companies
If you've recently been laid off or let go from a tech role, you're not alone-and you're not out of options. The tech industry is evolving fast, and while layoffs have hit hard, demand for skilled professionals remains high. At SynergisticIT, we specialize in helping displaced tech workers reclaim their careers and get hired by top-tier U.S. companies.
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All visa types and U.S. citizens are encouraged to apply.
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Check the links below
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Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
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Wage-Based H-1B Filing
Backend vs. Full Stack Development: Job Prospects | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Is AI Going to Replace Software Programmers? | SynergisticIT
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Important Notes
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