Remote Biostatistician Jobs
Remote biostatistician jobs are open across the U.S. in pharma, biotech, clinical research, and public health, at companies ranging from early-stage biopharma startups to large contract research organizations and health technology firms with fully distributed teams. Employers hiring remotely right now include The Emmes Company, TruMinds Technology, and CareDx. Find a role that fits below and apply directly.
Find Remote Biostatistician JobsOverview
Showing 5 of 16+ Remote Biostatistician jobs
Updated: Today
Location: Remote, NC, United States
Job ID: 25110957
Join our Talent Network
Description
Real World Biostatistician - Safety Experience (hiring in US and Canada)Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
- We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
- We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.
- We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.
Job Responsibilities
Biostatistician – Real-World Evidence (RWE)
Role Overview
We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWE Safety experience. This role will support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, regulatory strategy, and market access.
Key Responsibilities
Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives
Develop and apply robust statistical methodologies, including:
Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)
Trial emulation frameworks
External control arm development and borrowing strategies
Perform data analysis using healthcare coding systems (e.g., ICD, NDC)
Conduct sample size estimation and power calculations for observational and hybrid study designs
Collaborate cross-functionally with stakeholders across:
HEOR
Market Access
Regulatory
Clinical Development
Translate complex analytical results into clear, actionable insights, e.g. powerpoint or study report for decision-making
Support methodological innovation in RWE, including integration of machine learning approaches where appropriate
Required Qualifications
M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field
- 5 years of experience in RWD/RWE analytics (industry or equivalent)
Strong experience with EMR and/or claims data
Proficiency in healthcare coding systems (e.g., ICD, NDC)
Programming expertise in at least one of: SAS, R, or Python
Working knowledge with SQL logic and OMOP data structures
Solid understanding of:
Causal inference methods
Observational study design
Sample size and power considerations
Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statistical estimand censoring rule and data extraction logic.
Preferred Qualifications
Ph.D. strongly preferred
Familiarity with:
Trial emulation methodologies
External control borrowing / hybrid designs
Basic machine learning methods applied to RWD
Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment
Strong communication and stakeholder engagement skills
Advanced (nice-to-have, not always required)
Build reusable cohort pipelines
Optimize queries for large-scale databases
Work across multiple CDMs (OMOP, Sentinel, PCORnet)
Core Competencies
Analytical rigor and methodological depth
Cross-functional collaboration
Ability to operate with agility across diverse projects and therapeutic areas
Clear and effective scientific communication
Open to all US states and Canada. Remote based position.
At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.
Salary Range:
$80,600.00 - $145,000.00The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.
Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
http://www.syneoshealth.com
Additional Information
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Summary
Job Description Summary Biostatistician – Real-World Evidence (RWE) Role Overview We are seeking a biostatistician with strong experience in real-world data (RWD), observational study design, and RWE CMH to support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, regulatory strategy, and market access. Key Responsibilities Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives Develop and apply robust statistical methodologies, including: Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest) Trial emulation frameworks External control arm development and borrowing strategies Perform data analysis using healthcare coding systems (e.g., ICD, NDC) Conduct sample size estimation and power calculations for observational and hybrid study designs Collaborate cross-functionally with stakeholders across: HEOR Market Access Regulatory Clinical Development Translate complex analytical results into clear, actionable insights, e.g. powerpoint or study report for decision-making Support methodological innovation in RWE, including integration of machine learning approaches where appropriate Shape Required Qualifications M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field 5 years of experience in RWD/RWE analytics (industry or equivalent) Strong experience with EMR and/or claims data Proficiency in healthcare coding systems (e.g., ICD, NDC) Programming expertise in at least one of: SAS, R, or Python Working knowledge with SQL logic and OMOP data structures Solid understanding of: Causal inference methods Observational study design Sample size and power considerations Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statistical estimand censoring rule and data extraction logic Shape Preferred Qualifications Ph.D. strongly preferred Experience in one or more therapeutic areas: Diabetes Cardiovascular disease Metabolic disorders Familiarity with: Trial emulation methodologies External control borrowing / hybrid designs Basic machine learning methods applied to RWD Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment Strong communication and stakeholder engagement skills RWE CMH Experience Advanced (nice-to-have, not always required) Build reusable cohort pipelines Optimize queries for large-scale databases Work across multiple CDMs (OMOP, Sentinel, PCORnet) Shape Core Competencies Analytical rigor and methodological depth Cross-functional collaboration Ability to operate with agility across diverse projects and therapeutic areas Clear and effective scientific communicationUpdated: Today
Location: Remote, NC, United States
Job ID: 25110957
Join our Talent Network
Description
Real World Biostatistician - Safety Experience (hiring in US and Canada)Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
- We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
- We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.
- We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.
Job Responsibilities
Biostatistician – Real-World Evidence (RWE)
Role Overview
We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWE Safety experience. This role will support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, regulatory strategy, and market access.
Key Responsibilities
Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives
Develop and apply robust statistical methodologies, including:
Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)
Trial emulation frameworks
External control arm development and borrowing strategies
Perform data analysis using healthcare coding systems (e.g., ICD, NDC)
Conduct sample size estimation and power calculations for observational and hybrid study designs
Collaborate cross-functionally with stakeholders across:
HEOR
Market Access
Regulatory
Clinical Development
Translate complex analytical results into clear, actionable insights, e.g. powerpoint or study report for decision-making
Support methodological innovation in RWE, including integration of machine learning approaches where appropriate
Required Qualifications
M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field
- 5 years of experience in RWD/RWE analytics (industry or equivalent)
Strong experience with EMR and/or claims data
Proficiency in healthcare coding systems (e.g., ICD, NDC)
Programming expertise in at least one of: SAS, R, or Python
Working knowledge with SQL logic and OMOP data structures
Solid understanding of:
Causal inference methods
Observational study design
Sample size and power considerations
Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statistical estimand censoring rule and data extraction logic.
Preferred Qualifications
Ph.D. strongly preferred
Familiarity with:
Trial emulation methodologies
External control borrowing / hybrid designs
Basic machine learning methods applied to RWD
Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment
Strong communication and stakeholder engagement skills
Advanced (nice-to-have, not always required)
Build reusable cohort pipelines
Optimize queries for large-scale databases
Work across multiple CDMs (OMOP, Sentinel, PCORnet)
Core Competencies
Analytical rigor and methodological depth
Cross-functional collaboration
Ability to operate with agility across diverse projects and therapeutic areas
Clear and effective scientific communication
Open to all US states and Canada. Remote based position.
At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.
Salary Range:
$80,600.00 - $145,000.00The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.
Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
http://www.syneoshealth.com
Additional Information
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Summary
Job Description Summary Biostatistician – Real-World Evidence (RWE) Role Overview We are seeking a biostatistician with strong experience in real-world data (RWD), observational study design, and RWE CMH to support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, regulatory strategy, and market access. Key Responsibilities Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives Develop and apply robust statistical methodologies, including: Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest) Trial emulation frameworks External control arm development and borrowing strategies Perform data analysis using healthcare coding systems (e.g., ICD, NDC) Conduct sample size estimation and power calculations for observational and hybrid study designs Collaborate cross-functionally with stakeholders across: HEOR Market Access Regulatory Clinical Development Translate complex analytical results into clear, actionable insights, e.g. powerpoint or study report for decision-making Support methodological innovation in RWE, including integration of machine learning approaches where appropriate Shape Required Qualifications M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field 5 years of experience in RWD/RWE analytics (industry or equivalent) Strong experience with EMR and/or claims data Proficiency in healthcare coding systems (e.g., ICD, NDC) Programming expertise in at least one of: SAS, R, or Python Working knowledge with SQL logic and OMOP data structures Solid understanding of: Causal inference methods Observational study design Sample size and power considerations Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statistical estimand censoring rule and data extraction logic Shape Preferred Qualifications Ph.D. strongly preferred Experience in one or more therapeutic areas: Diabetes Cardiovascular disease Metabolic disorders Familiarity with: Trial emulation methodologies External control borrowing / hybrid designs Basic machine learning methods applied to RWD Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment Strong communication and stakeholder engagement skills RWE CMH Experience Advanced (nice-to-have, not always required) Build reusable cohort pipelines Optimize queries for large-scale databases Work across multiple CDMs (OMOP, Sentinel, PCORnet) Shape Core Competencies Analytical rigor and methodological depth Cross-functional collaboration Ability to operate with agility across diverse projects and therapeutic areas Clear and effective scientific communicationSee All 16 Remote Biostatistician Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Biostatistician JobsRemote Biostatistician Job Market
Who's Hiring
Top Industries Hiring
- Education
- Science & Research
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote biostatistician jobs.
- Master's or doctoral degree in biostatistics, statistics, or a related quantitative field
- Proficiency in SAS and R for statistical programming and data analysis
- Experience with clinical trial design, protocol development, and statistical analysis plans
- Knowledge of FDA regulatory guidelines and ICH E9 statistical principles
- Ability to collaborate with clinical, regulatory, and data management teams
- Familiarity with survival analysis, mixed models, and longitudinal data methods
Tips for Your Remote Biostatistician Job Search
Apply early to remote roles that fit
Migrate Mate lists remote biostatistician openings from across the U.S. in one place, so you can find roles that match your experience and apply directly without sorting through postings that require on-site presence.
Document your async statistical workflow
Remote biostatistician teams run on written communication. Before applying, prepare code repositories with clear comments, statistical analysis plan summaries you've authored, and written outputs that show you can deliver findings without a whiteboard walkthrough.
Show regulatory and cross-functional remote experience
CROs and biopharma teams want biostatisticians who have coordinated with data management, clinical operations, or medical writing entirely in writing. Highlight any experience producing or reviewing statistical sections for regulatory submissions in a distributed setting.
Screen postings for software stack alignment
Remote biostatistician roles in pharma and CROs are split between SAS and R environments. Check whether a posting specifies a required language before applying, since switching stacks mid-study is uncommon and hiring managers screen for this early.
Remote Biostatistician Jobs: Frequently Asked Questions
How do I get a remote biostatistician job?
Target pharma, biotech, CROs, and health tech companies that operate distributed teams, since those employers are most comfortable managing biostatisticians without an on-site presence. Remote hiring managers screen for strong async communication, proficiency in SAS or R, experience writing and interpreting statistical analysis plans independently, and the ability to coordinate with clinical and regulatory teams across time zones entirely in writing. A portfolio of documented analyses and clear, well-commented code strengthens any application.
Which companies hire remote biostatisticians?
Remote biostatistician roles are posted by The Emmes Company, TruMinds Technology, and CareDx and others right now, based on current remote listings on Migrate Mate as of August 2026. Hiring tends to concentrate at contract research organizations, biopharma companies with distributed clinical teams, and health technology firms that support decentralized clinical trials.
Can you get a remote biostatistician job with no experience?
Yes, but remote entry-level biostatistician roles are harder to land because employers expect new hires to work independently with minimal daily supervision. Your strongest substitutes for experience are academic research projects with documented statistical methods, open-source contributions in SAS or R, and graduate coursework in clinical trial design or epidemiology. Early-stage biopharma companies and academic medical centers with remote teams are more likely to consider candidates at the entry level than large CROs.
Do you need a degree for remote biostatistician jobs?
Usually, yes. Most remote biostatistician postings require at minimum a master's degree in biostatistics, statistics, or a closely related quantitative field, and many roles in regulated clinical environments expect that credential as a baseline. Some employers will weigh demonstrated proficiency in SAS, R, or Python alongside a strong publication or project record, but a graduate degree remains the standard expectation across pharma, biotech, and CRO sectors.
Which industries hire the most remote biostatisticians?
Remote biostatistician roles concentrate in Education, Science & Research, and Biotechnology & Pharmaceuticals, based on current remote listings on Migrate Mate as of August 2026. Those sectors rely heavily on distributed clinical and research teams, making remote arrangements a natural fit for statistical work that happens asynchronously across regulatory, data management, and medical writing functions.
See All 16 Remote Biostatistician Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Biostatistician Jobs