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Biostatistics R Programmer Jobs (NOW HIRING)

You will have oversight of the statistics and programming team through an outsourced model. You ... Knowledge and proficiency in SAS or R and other industry computational tools * Knowledge of CDISC ...

... programming and computational skills; gain interest in statistical methodology research; and ... R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated individual with a Ph.D ...

Biostatistical Programming Senior Manager Live What you will do Let's do this. Let's change the ... Familiar with R Programming language * Statistical programming experience in a clinical development ...

OR · On-site

$275K - $290K/yr

Lead the biometrics team including statistician, data manager, and statistical programmer at a ... Proficiency in statistical software (e.g., SAS, R) and data management systems. * Experience with ...

... programmers, clinical trial managers, and personnel from regulatory affairs, medical writing, and ... Working knowledge of statistical software such as SAS and R is required. * Experience and knowledge ...

... Biostatistics, Statistics, or a related field, or an equivalent combination of education and experience. * Strong programming skills in R (required), including experience developing reproducible ...

The Department of Biostatistics is a very busy and diverse department focused on research and ... Maintain databases using R, Python, and SQL in collaboration with members of the research team

The Department of Biostatistics is a very busy and diverse department focused on research and ... Maintain databases using R, Python, and SQL in collaboration with members of the research team

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Biostatistics R Programmer information

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How much do biostatistics r programmer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for biostatistics r programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

How does a Biostatistics R Programmer typically collaborate with clinical research teams during a study?

A Biostatistics R Programmer works closely with clinical research teams by translating study protocols into statistical analysis plans, developing and validating R scripts to process and analyze clinical trial data, and presenting results in an accessible format. Regular collaboration with biostatisticians, data managers, and clinical scientists is essential to ensure accuracy and compliance with regulatory standards. Communication skills are important, as programmers often explain complex statistical outcomes to non-technical stakeholders and make recommendations based on data findings.

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

To thrive as a Biostatistics R Programmer, you need a strong background in statistics, data analysis, and programming with a relevant degree such as statistics, biostatistics, or a related field. Proficiency in R programming, statistical software (like SAS or Python), and experience with clinical trial data or healthcare datasets are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help convey complex analyses to interdisciplinary teams. These skills are crucial to ensure accurate data interpretation and support evidence-based decision-making in biomedical research.

What is the difference between Biostatistics R Programmer vs Biostatistician?

AspectBiostatistics R ProgrammerBiostatistician
CredentialsBachelor's or Master's in Biostatistics, Statistics, or related fieldMaster's or PhD in Biostatistics or Statistics
Work EnvironmentClinical trials, research organizations, pharmaceutical companiesResearch institutions, healthcare, academia, industry
Job FocusData analysis, programming in R, preparing datasets, generating reportsStudy design, statistical analysis, interpretation, reporting

While both roles involve statistical analysis and R programming, Biostatistics R Programmers primarily focus on data management and programming tasks, whereas Biostatisticians are involved in study design, statistical modeling, and interpretation. The Biostatistician role typically requires advanced degrees and broader responsibilities in research planning and analysis.

What are Biostatistics R Programmers?

Biostatistics R Programmers are professionals who use the R programming language to analyze and interpret data in the field of biostatistics, often supporting medical or health research. They collaborate with biostatisticians and researchers to write code, manage data, and generate statistical reports. Their work helps ensure that complex statistical methods are accurately implemented and that research findings are reliable and reproducible.
Infographic showing various Biostatistics R Programmer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 12% Full Time, and 85% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Sr. Director, Biostatistics

Sr. Director, Biostatistics

Atavistik Bio

Cambridge, MA

$270K - $290K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago


Job description

Company Summary:

Atavistik Bio is a privately-held clinical stage biotechnology company accelerating the discovery and development of transformative precision allosteric therapeutics to address serious unmet patient needs. Our proprietary AMPS platform allows us to rapidly unlock functional cryptic pockets across a broad range of target classes to accelerate the development of groundbreaking medicines. We have rapidly established an emerging pipeline of allosteric therapeutics with the potential to achieve superior efficacy and tolerability profiles by leveraging the power of allostery. 

Atavistik Bio is led by an experienced team of drug hunters with a proven track record of developing marketed small molecule therapies and supported by top-tier investors, including The Column Group, Nextech Invest, Lux Capital, Regeneron Ventures, and RA Capital Management. 

Position Summary
We are seeking a Sr. Director of Biostatistics. Reporting to the Chief Medical Officer. In this position you will be acting as the statistical lead for one program or multiple programs, providing technical leadership and statistical support on the design, conduct and execution of the clinical studies. You will have oversight of the statistics and programming team through an outsourced model. You will partner closely with the cross-functional teams and provide expert biostatistics input on development plans, regulatory interactions, and study design. This may include but is not limited to authoring/review of statistics section in the protocol, sample size determination, authoring/review of statistical analysis plan and mock TFL, reviewing study randomization files, ADaM specs, CRF design, DMC charter, analyzing and interpreting the clinical study results, and ensuring statistical integrity. 
Key Responsibilities
  • Key contributor on regulatory submissions and communication with global regulatory authorities
  • Provide expert statistical advice, methodological research and analysis of trial and epidemiological data to inform the design, planning and execution of  clinical studies
  • Review and/or author statistical analysis sections of protocols, statistical analysis plans, clinical study reports, regulatory documents or scientific publications, generates or reviews study randomization, and sample size/power estimations
  • Oversee and lead the vendor/CRO biostatistics and programming teams, including activities during TFL development, Data Monitoring Safety Board meetings, interim analyses, and database locks  
  • Execute or oversee individual projects, which will include meeting with project/study team members, conducting exploratory analyses , and providing analyses for publications
  • Evaluate alternative or innovative approaches to statistical methods and study design
  • Build relationships with CROs and other external partners to achieve results for specific project needs
  • Ensure the delivery of high quality and timely reports to project teams and clinical trial team
  • Develop and maintain statistical/programming policies, guidelines, and procedures (SOPs, training manuals, etc.)
Required Qualifications
  • PhD in statistics strongly preferred; Candidates with MS in statistics, biostatistics or mathematics and a depth of relevant experience in drug development statistical research will be considered
  • A minimum of 8 years' experience in progressive and relevant clinical trial experience
  • Experience leading teams and working in a matrix organization
  • Experience with blinded study designs and analyzing and interpreting patient reported outcome (PRO) data sets strongly preferred
  • Ability to communicate and work directly with non-statisticians imparting and delivering complex statistical information to scientific development partners and researchers
  • Excellent communication with an ability to present to a variety of stakeholders and tailor message accordingly
  • Experience managing CROs and other data vendors
  • Strong leader with a growth mindset, willing to learn from others, and dedicated to promoting a collaborative work culture
  • Ability to keep pace in a fast-moving organization and navigate ambiguity
  • Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian method, missing data imputation, multiplicity adjustment
  • Knowledge and proficiency in SAS or R and other industry computational tools
  • Knowledge of CDISC standard including SDTM, ADaM
  • Knowledge of ICH guidelines, FDA / EMA / other regulatory authority guidance
  • Experience in planning, running and documenting simulations, including clinical trial simulations
  • Experience working on site and with remote teams
  • Ability and willingness to travel up to 10% or as needed by the business 
$270,000 - $290,000 a year
Benefits:
Atavistik Bio offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance and a flexible spending account for either health care and/or dependent care.
 
Candidate Privacy Notice:
By submitting your resume/CV and any accompanying materials, you acknowledge and consent to the collection, processing, and storage of your personal information for the purpose of evaluating your candidacy, managing the recruitment process, and communicating with you regarding current or future opportunities. Your information may be accessed by authorized personnel and trusted service providers supporting our hiring activities, and will be retained only as long as necessary to fulfill these purposes or as required by applicable law. We will not sell your data, and we will take reasonable measures to protect it from unauthorized access or disclosure. For more information about how we handle applicant personal information, including the categories of personal information we collect, the purposes for which we use it, whether and how we 'sell' or 'share' personal information as defined under applicable U.S. state privacy laws, our legal bases for processing (where applicable), and your privacy rights, please review our Privacy Policy. By proceeding, you confirm that the information you submit is accurate and that you understand how it will be used. 
 
Atavistik Bio is an equal opportunity employer. All applicants will be considered for employment without regard to a person's race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any characteristic protected under applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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