Biostatistician

Veramed; Boston (MA); On-site; USD 85,000 - 105,000; Full time

Job summary

Veramed is seeking an entry-level Biostatistician to join our biometrics team in the US. This role is ideal for recent PhD graduates in Statistics, Biostatistics, or related quantitative disciplines who are passionate about statistical programming and data analysis.

The successful candidate will work alongside experienced statisticians and programmers on clinical trials and regulatory submissions, with mentoring and hands-on training.

Qualifications

• PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative field is required.
• Strong foundation in statistical theory and applied statistics is required.
• Demonstrated passion for programming and data analytics is required.
• Extensive experience using SAS and R in academic research, dissertations, internships, or applied projects.
• Ability to communicate complex statistical concepts effectively.
• Strong problem-solving and analytical skills.
• Eagerness to learn clinical trial methodology and regulatory requirements.

Responsibilities

• Support statistical design, analysis, and reporting for clinical studies.
• Assist in developing Statistical Analysis Plans (SAPs).
• Perform statistical analyses using SAS and R.
• Collaborate with programming teams on analysis datasets and TLF development.
• Review study protocols, CRFs, and analysis specifications.
• Participate in quality control and validation activities.
• Contribute to process improvement, automation, and innovative analytical approaches.

Skills

Statistical theory

Applied statistics

Programming passion

Data analytics

Communication skills

Problem solving

Learning clinical trial methodology

Education

PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative field

Tools

SAS

R

Python

CDISC knowledge

Job description

Veramed is seeking a highly motivated Entry-Level Biostatistician to join our biometrics team in the US. This role is ideal for recent PhD graduates in Statistics, Biostatistics, or related quantitative disciplines who are passionate about statistical programming and data analysis.

The successful candidate will work alongside experienced statisticians and programmers to support clinical trials and regulatory submissions while receiving structured mentoring and training. We welcome candidates with strong research backgrounds and extensive hands-on programming experience gained through academic research, dissertations, internships, or industry projects.

We would like the candidate to be on-site for 1st one year and can be hybrid or remote after 1 year.

Key Responsibilities

• Support statistical design, analysis, and reporting for clinical studies.
• Assist in developing Statistical Analysis Plans (SAPs).
• Perform statistical analyses using SAS and R.
• Collaborate with programming teams on analysis datasets and TLF development.
• Review study protocols, CRFs, and analysis specifications.
• Participate in quality control and validation activities.
• Contribute to process improvement, automation, and innovative analytical approaches.

Required Qualifications

• PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundation in statistical theory and applied statistics.
• Demonstrated passion for programming and data analytics.
• Extensive experience using SAS and R in academic research, dissertations, internships, or applied projects.
• Ability to communicate complex statistical concepts effectively.
• Strong problem-solving and analytical skills.
• Eagerness to learn clinical trial methodology and regulatory requirements.

Preferred Qualifications

• Experience with Python or other analytical programming languages.
• Exposure to clinical research, healthcare, life sciences, or real-world evidence studies.
• Familiarity with data visualization and reproducible research methodologies.
• Knowledge of CDISC standards is a plus but not required.