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Associate Statistical Programmer Jobs in Newark, NJ

Principal IT Data Scientist

Newark, NJ · On-site

$100 - $140/hr

Associate will work with various stakeholders across departments and lines of businesses to ... Statistics, Engineering or equivalent degree, e.g. Data Analytics, Decision Science * 5 years of ...

Works collaboratively with Statistical Programmers, Biostatisticians, Clinical Research Associates, Clinical Data Managers and other Clinical, Global Drug Safety, Regulatory and Project Management ...

Showing results 41-60

Associate Statistical Programmer information

See Newark, NJ salary details

$88.4K

$154K

$260.4K

How much do associate statistical programmer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for associate statistical programmer in Newark, NJ is $154,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $167,300.00 per year, depending on experience, location, and employer.

What is an associate statistical programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

How does an associate statistical programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

What are the key skills and qualifications needed to thrive as an associate statistical programmer, and why are they important?

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.
What are popular job titles related to Associate Statistical Programmer jobs in Newark, NJ? For Associate Statistical Programmer jobs in Newark, NJ, the most frequently searched job titles are:

Associate Director, Epidemiology Analytics

Daiichi Sankyo, Inc.

Basking Ridge, NJ • On-site

Other

Posted 20 days ago


Job description

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary This position of Associate Director has responsibilities as a safety data scientist in Epidemiology Analytics group of Clinical Safety and Pharmacovigilance (CSPV) at Daiichi Sankyo. This position uses and analyzes both clinical trial data and real-world data (RWD) to support our products under the supervision of the head of Epidemiology Analytics. This position leads the development and implementation of statistical analysis plan to support signal detection and evaluation, risk-benefit assessment, and other drug safety evaluation activities. This position collaborates with internal and external stakeholders including statisticians, epidemiologists, clinical safety and pharmacovigilance, regulatory, clinical, and other project stakeholders. In this position, you will play a critical role in supporting Epidemiologist and Safety Science team during an evaluation of adverse events and assessment of potential risks associated with our pharmaceutical products. We are looking for a detail-oriented, experienced, resilient, and proactive individual with outstanding analytical and communication skills in the industry or service provider settings. If you are driven by a desire to make a positive impact on the enrichment of quality of life around the world, we encourage you to apply for this exciting opportunity. Responsibilities Provide data management of diverse data (e.g., real-world setting and clinical trial) to set up epidemiologic data sets for various approaches, quantitative epidemiologic data analysis, interpretation of results, visualization of results, and generate manuscripts to disseminate findings. Conduct statistical analyses for epidemiological research and safety queries, including but not limited to: o Descriptive summary and multivariable regression o Exploratory analysis for safety endpoints in clinical trial data o Setup and analysis of case-control and cohort study designs o Signal detection analysis in spontaneous reports (e.g., FAERS, EVDAS) o Signal detection/evaluation analysis in RWD o Data mining (including free-text mining of unstructured data fields) using diverse data sources and methods o Development of automation platform (e.g., R Shiny App) o Literature review and meta-analysis Collaborate with cross-functional teams to evaluate and manage adverse events and risks associated with pharmaceutical products. Participate in cross-functional meetings and provide input and guidance as needed. Participate in the preparation and submission of regulatory documents related to drug safety. Maintain and manage project plans to provide deliverables on time. Collaborate with global epidemiology teams to ensure consistency and quality in safety reporting and processes. Maintain compliance with all applicable regulations and guidelines related to pharmacovigilance and drug safety. Stay informed about emerging safety issues and contribute to the development of risk management strategies. Mentor and provide guidance to junior team members Qualifications Education Qualifications Master's Degree n Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field plus a minimum of 7 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred). Or Doctorate Degree (PhD) in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field plus a minimum of 4 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred). Experience Qualifications 3 or more years (based upon degree) of professional experience within the pharmaceutical industry in safety or associated service provider experience Demonstrated professional statistician skills and expertise Proven experience leading large and/or complex statistical programming projects preferred Experience providing technical and/or programming guidance and mentoring to junior programmers, fellows and team members. Ability and interest to work across cultures and geographies Ability to adapt to change and seamlessly assimilate to new projects and stakeholders Experience developing statistical analysis plan and Meta Data Repositories Familiarity with data management concepts of non-interventional studies Strategic thinking Demonstrate proficiency with programming in R, SAS, SQL, and/or Python for data mining and epidemiologic analysis Travel Requirements Ability to travel up to 20% of the time. Both domestic and occasional travel may be required Additional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$157,920.00 - USD$236,880.00 Download Our Benefits Summary PDF