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Junior R Statistical Programmer Jobs in Maryland

Amgen

Biostatistical Prograrmming Manager

Baltimore, MD · On-site

... Stat packages Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as ...

MIT Lincoln Laboratory

D in electrical engineering, computer science, or another relevant discipline or a MS with 5 or ... and mentoring junior staff. * Stakeholder communication - strong written and oral skills for ...

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Junior R Statistical Programmer information

What are typical challenges a Junior R Statistical Programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

What are the key skills and qualifications needed to thrive as a Junior R Statistical Programmer, and why are they important?

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are Junior R Statistical Programmers?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
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Junior R Statistical Programmer jobs near you
Manager, Statistical Programming

Manager, Statistical Programming

Supernus Pharmaceuticals, Inc.

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 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:
The Manager of Statistical Programming will lead and support statistical programming activities for clinical projects conducted by Supernus Pharmaceuticals. This role ensures the timely delivery of high-quality clinical trials analysis deliverables by adhering to established standards and processes
Essential Duties & Responsibilities:
  • Oversees all statistical programming activities for an in-house clinical study, ensuring compliance with Supernus standards.
  • Reviews and provides input on Statistical Analysis Plans (SAPs) to ensure alignment with study objectives.
  • Develops Study Data Tabulation Models (SDTMs) and Arrangement of variables (ADaM) mapping specifications in accordance with CDISC SDTM Implementation Guides (SDTM IG).
  • Programs and validates SDTM and ADaM datasets using SAS programs.
  • Prepares SDTM and AdAm Submission packages, including, define.xml, Reviews guide, and annotated eCRF.
  • Generates and validates Tables, Figures, and listings (LTFs) according to approved specifications.
  • Validates outsourced datasets provided by vendors and performs ad hoc analyses as needed.
  • Contributes to the development and enhancement of programming standards and workflows.
  • Mentors and guides junior programmers to foster skill development and ensure quality deliverables.
  • Employee management responsibilities assigned as needed.
  • Performs other duties as assigned.

Supervisory Responsibilities:
  • Provides leadership and 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.

Knowledge & Other Qualifications:
  • Bachelor's degree in Life Sciences, computer science, mathematics, statistics, or a related quantitative/analytical field with a minimum of five years of experience in a pharmaceutical/ Clinical Research organization industry, a master's degree in a related field with a minimum of three years of experience, or a PhD with one year of experience.
  • Proficiency in R is a plus.
  • Demonstrated ability to develop SAS programs and macros to create SDTM, ADaM, and TFLs.
  • Demonstrated ability to identify and solve moderately complex problems.
  • Working knowledge of CDISC standards with hands-on experience in generating define packages.
  • Familiarity with ICH guidelines and FDA guidance related to clinical study conduct and data submission.
  • Familiarity with statistical methods that apply to Phase I-IV clinical trials.
  • Excellent written and oral communication skills including grammatical/technical writing skills.
  • Excellent attention to detail and accuracy.

Other Characteristics:
  • Ability to work independently and as part of a team and maintain high ethical standards of integrity and quality.
  • Ability of having an innovative and dynamic approach to work.
  • A self-starter able to work independently but comfortable working in a team environment.
  • Ability to consistently exhibit Supernus Values in interactions with employees at all levels of the organization, vendors, customers and others.
  • Capable of performing other duties as assigned by Management.
  • Authorized to legally work in the United States without visa sponsorship.

Physical Requirements/Work Environment/Travel Requirements:
  • 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 $100,000 to $130,000. 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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