Senior Biostatistician
Raleigh, NC · On-site +1
In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data.
Raleigh, NC · On-site +1
In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data.
Raleigh, NC · On-site +1
In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data.
Raleigh, NC · On-site +1
In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data.
Raleigh, NC · On-site +1
In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data.
Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches. * Partner with ...
Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches. * Partner with ...
Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches. * Partner with ...
Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches. * Partner with ...
Durham, NC · On-site
Familiarity with causal inference methods or machine learning approaches * Demonstrated experience in scientific writing and publication Ideal for candidates who: * Have recently completed (or are ...
Durham, NC · On-site
Familiarity with causal inference methods or machine learning approaches * Demonstrated experience in scientific writing and publication Ideal for candidates who: * Have recently completed (or are ...
Durham, NC · On-site
Familiarity with causal inference methods or machine learning approaches * Demonstrated experience in scientific writing and publication Ideal for candidates who: * Have recently completed (or are ...
Durham, NC · On-site
Familiarity with causal inference methods or machine learning approaches * Demonstrated experience in scientific writing and publication Ideal for candidates who: * Have recently completed (or are ...
Durham, NC · On-site
Familiarity with causal inference methods or machine learning approaches * Demonstrated experience in scientific writing and publication Ideal for candidates who: * Have recently completed (or are ...
Durham, NC · On-site
Familiarity with causal inference methods or machine learning approaches * Demonstrated experience in scientific writing and publication Ideal for candidates who: * Have recently completed (or are ...
Cary, NC · On-site
Experience with causal inference methods * Passion for the gaming industry EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality ...
Cary, NC · On-site
Experience with causal inference methods * Passion for the gaming industry EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality ...
Familiarity with analytical methods (e.g., causal inference, propensity matching) and their application to real-world data * Familiarity with data science workflows If you will be working at home ...
Familiarity with analytical methods (e.g., causal inference, propensity matching) and their application to real-world data * Familiarity with data science workflows If you will be working at home ...
Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage. * Strong statistical programming skills (R preferred; equivalent ...
Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage. * Strong statistical programming skills (R preferred; equivalent ...
Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage. * Strong statistical programming skills (R preferred; equivalent ...
Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage. * Strong statistical programming skills (R preferred; equivalent ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
... causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental Requirements ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Cary, NC · On-site
A/B tests where we can randomize, and other causal inference methods (difference-in-differences, regression discontinuity) where we can't * Partner on new progression features from the start, from ...
Cary, NC · On-site
A/B tests where we can randomize, and other causal inference methods (difference-in-differences, regression discontinuity) where we can't * Partner on new progression features from the start, from ...
Chapel Hill, NC · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
Chapel Hill, NC · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
$53.1K - $60.2K
0% of jobs
$60.2K - $67.3K
1% of jobs
$67.3K - $74.4K
3% of jobs
$74.4K - $81.4K
17% of jobs
$82.9K is the 25th percentile. Wages below this are outliers.
$81.4K - $88.5K
18% of jobs
The median wage is $92.9K / yr.
$88.5K - $95.6K
17% of jobs
$95.6K - $102.6K
18% of jobs
$102.9K is the 75th percentile. Wages above this are outliers.
$102.6K - $109.7K
17% of jobs
$109.7K - $116.8K
6% of jobs
$116.8K - $123.9K
1% of jobs
$123.9K - $130.9K
1% of jobs
$53.1K
$95.9K
$130.9K
Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.
Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.
A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

Full-time
Medical, Dental, Life, Retirement, PTO
Re-posted 12 days ago
7.0
Based on 5 frontline employees who took The Breakroom Quiz
61st of 72 rated research
RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. With offices in the US, UK, Spain, France, and Sweden, we provide healthcare consulting and research expertise to optimize decision making for pharmaceutical, biotechnology, and medical device products across the development and marketing lifecycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our various practice areas include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth.
We are currently seeking a Senior Biostatistician to join our growing Biostatistics team. In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data. You will contribute to the development of statistical analysis plans, conduct analyses, and support proposal development under limited supervision while collaborating closely with multidisciplinary project teams on regulatory-grade research deliverables.
This role may be hybrid or fully remote, with a strong preference for candidates located in North Carolina.
As part of the application process, candidates are required to submit a short cover letter outlining their relevant experience and alignment with the role.
What You'll DoTo be successful in this role, you will have strong analytical, organizational, and problem-solving skills; a high level of written and verbal communication skills, and the ability to manage multiple tasks, meet timelines, and work effectively in collaborative team environments.
What You'll NeedPreferred:
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EEO & Pay Equity StatementsFor San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.
RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.
At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.
Hiring Salary Range$110,000.00-$130,000.00Employment Type: FULL_TIMEGet the full story on Breakroom
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Scientific research and development services
1,001 - 5,000 Employees
Durham, NC, US
1958