Statistical Analyst Jobs
Statistical Analyst jobs are open across healthcare, finance, government, technology, and consumer goods, from entry-level to senior and principal, with specializations in biostatistics, survey research, and financial modeling. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
THE OPPORTUNITY:
Position requires 14+ years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within Statistical Programming function. In addition to hands-on Programming, this position requires providing oversight and programming support and guidance for internal deliverables and regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Based on company needs, this position will be required to lead one or more early Phase or late phase studies/programs.
Responsibilities:
- Effective collaborating with cross functional teams to provide programming timelines for various deliverables.
- Provide SAS Programming technical support and guidance to programming team.
- Oversight/participation in any internal/mock or regulatory authority audits.
- Timeline and vendor management for deliverables, including submission-related activities, complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).
- Oversee the programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM) and data documentation, Reviewer’s Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response), blank and annotated CRFs, and actual patient CRFs.
- Hands-on programming and management of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.
- Oversight and Verification Review of documents, spreadsheets, slides for in-house presentations and external publications. Titles may vary based on candidate experience.
BASIC QUALIFICATIONS:
- 14+ years of Statistical Programming experience with early or late phase oncology trial studies.
- BS/BA degree or other suitable qualification with relevance to the field.
- Experience leading one or more statistical programming contractors, and programming vendors.
- Proficiency in providing hands-on SAS Programming support for production or validation of analysis datasets, tables, listings and figures.
- Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.
PREFERRED QUALIFICATIONS:
- A demonstrable record of strong leadership and teamwork.
- Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.
- Experience working in a small to mid sized biotech/pharma environment.
- Experience collaborating on development of processes, SOPs and guidance documents for the Statistical Programming function.
COMPENSATION
- Base Pay Salary Range: $186,000 - $233,000 USD
Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.
INTRODUCTION
Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
THE OPPORTUNITY:
Position requires 14+ years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within Statistical Programming function. In addition to hands-on Programming, this position requires providing oversight and programming support and guidance for internal deliverables and regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Based on company needs, this position will be required to lead one or more early Phase or late phase studies/programs.
Responsibilities:
- Effective collaborating with cross functional teams to provide programming timelines for various deliverables.
- Provide SAS Programming technical support and guidance to programming team.
- Oversight/participation in any internal/mock or regulatory authority audits.
- Timeline and vendor management for deliverables, including submission-related activities, complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).
- Oversee the programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM) and data documentation, Reviewer’s Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response), blank and annotated CRFs, and actual patient CRFs.
- Hands-on programming and management of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.
- Oversight and Verification Review of documents, spreadsheets, slides for in-house presentations and external publications. Titles may vary based on candidate experience.
BASIC QUALIFICATIONS:
- 14+ years of Statistical Programming experience with early or late phase oncology trial studies.
- BS/BA degree or other suitable qualification with relevance to the field.
- Experience leading one or more statistical programming contractors, and programming vendors.
- Proficiency in providing hands-on SAS Programming support for production or validation of analysis datasets, tables, listings and figures.
- Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.
PREFERRED QUALIFICATIONS:
- A demonstrable record of strong leadership and teamwork.
- Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.
- Experience working in a small to mid sized biotech/pharma environment.
- Experience collaborating on development of processes, SOPs and guidance documents for the Statistical Programming function.
COMPENSATION
- Base Pay Salary Range: $186,000 - $233,000 USD
Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.
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Find Statistical Analyst JobsStatistical Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Katalyst Healthcares & Life Sciences7
- Medpace6
- ClinChoice4
- Exponent3
- Genentech3
Top Industries Hiring
- Biotechnology & Pharmaceuticals29
- Consulting & Professional Services20
- Healthcare & Medical Services10
- Science & Research8
- Technology & Software6
What Employers Look For
The qualifications that appear most often in statistical analyst jobs.
- Bachelor's or master's degree in statistics, mathematics, economics, or a related quantitative field
- Proficiency in at least one statistical programming language such as R, Python, or SAS
- Experience with SQL for querying and manipulating large relational datasets
- Ability to design studies, interpret results, and communicate findings to non-technical stakeholders
- Familiarity with statistical modeling techniques including regression, hypothesis testing, and time-series analysis
- Experience with data visualization tools such as Tableau, Power BI, or ggplot2
Tips for Your Statistical Analyst Job Search
Tailor your resume to the method
Statistical analyst job postings split sharply between frequentist and Bayesian methods, and between Python, R, SAS, and SQL. Mirror the exact tools and methodology language from each posting so your resume clears automated screening before a recruiter reads it.
Quantify outputs, not just responsibilities
Hiring managers want to see what your analysis changed, not that you ran models. Replace phrases like 'performed regression analysis' with the decision your output informed or the reduction in error rate your model achieved.
Apply early to roles that fit
Migrate Mate lists statistical analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter for domain-specific postings first
A biostatistics role at a clinical research organization requires FDA submission experience that a fintech analyst role won't. Search by industry vertical before seniority level so you're targeting openings where your domain knowledge is a direct match.
Prepare a take-home case walk-through
Many statistical analyst interviews include a take-home dataset exercise. Practice narrating your analytical decisions out loud, not just producing output. Interviewers test whether you can explain why you chose a method, not just whether your code ran.
Negotiate on scope, not just base pay
When you receive an offer, ask specifically about the size of the datasets you'll work with, whether you'll present findings to leadership, and what tooling budget exists. These factors determine how fast you'll develop, which affects your next role's compensation more than starting pay does.
Statistical Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most statistical analysts?
The companies hiring the most statistical analysts right now include Katalyst Healthcares & Life Sciences, Medpace, and ClinChoice, with the largest share of openings in California, New Jersey, and North Carolina, based on current listings on Migrate Mate as of June 2026. Demand is consistently strong in healthcare, financial services, and federal government contracting.
How many statistical analyst jobs are remote?
About 34% of statistical analyst openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible analytical roles. Survey research, health outcomes analysis, and risk modeling positions tend to offer the highest share of remote arrangements, while roles requiring access to on-site data infrastructure or lab systems are more likely to be in-person.
How do you become a statistical analyst?
Start with a bachelor's degree in statistics, mathematics, economics, or a closely related quantitative field, then build proficiency in R, Python, or SAS through coursework or self-directed projects. Develop a portfolio of analyses using publicly available datasets to demonstrate applied skills. Entry-level roles in survey firms, government agencies, or research organizations are common starting points that build the domain depth employers look for in senior positions.
Can you get a statistical analyst job with little or no experience?
Yes, entry-level statistical analyst roles exist specifically for candidates without professional experience, particularly in government agencies, academic research centers, and market research firms. Employers in these settings prioritize demonstrated ability over years of experience, so a strong academic project, a published analysis, or a clean GitHub repository with annotated code can substitute effectively for a work history.
What does the statistical analyst interview process look like?
Most statistical analyst interview processes include an initial recruiter screen, a technical phone interview covering methodology and tool proficiency, and a take-home or live case exercise where you analyze a dataset and present your findings. Final rounds typically include a panel discussion where you walk through your analytical decisions and answer questions about how you'd approach ambiguous or incomplete data situations.
Where can I find and apply to statistical analyst jobs?
You can find and apply to statistical analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience, tools, and industry focus, then apply directly to each opening that fits.
See All 83+ Statistical Analyst Jobs
Jump back to the full list of openings and apply to any statistical analyst role that fits.
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