270 Statistical Analyst jobs in the United States

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. 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 about 10-14 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 direct programming and technical oversight of one or more studies, this position may require assistance providing technical support and guidance during regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Titles may vary based on candidate experience. Based on company needs, this position may be required to lead an early Phase or late phase study or program. Specific responsibilities include:

• Provide technical oversight of statistical programming resources including contractors and CROs.
• Provide mentorship to future leaders to help learn and execute on RevMed core values.
• Ensure quality and timely delivery of analysis for statistical programming deliverables.
• Provide solutions by analyzing issues and problems in complex situations.
• Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities, academic community, and healthcare providers) via QC of documents with clinical data.
• Ensure that the statistical programming process conforms to the SOPs and regulatory standards where applicable.
• Timeline and vendor management for deliverables, including submission-related activities, complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).
• Programming support for deliverables, such as Dose Committee meetings, Investigator Brochures, publications/presentations, US, and ex-US regulatory submissions.
• Proficiency in regulatory standards and compliance regulations including CDISC compliance (SDTM, ADaM, define.xml, Reviewer's Guides, etc.).

Required Skills, Experience and Education:

• 10-14 years of Statistical Programming experience in biotechnology or pharmaceutical industry.
• BS/BA degree or other suitable qualification with relevance to the field.
• Direct statistical programming experience for early or late-phase clinical trials to support production/verification 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 Skills, Experience and Education:

• Early or late-stage oncology clinical trials.
• 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.

The base salary range for this full-time position is $158,000 to $198,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base salary 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

#LI-Hybrid #LI-JC1

**11054BR**
**PRS Facility Location:**
EMD HQ LaGrange, IL - 400
**Job Purpose:**
- Responsible for analyzing warranty failure information, confirming customer contractual agreements;
- Manage PRL Service Welders to respond to customer repair requirements;
- Work involves accuracy and the ability to make independent decisions within the limits of our supply chain, warranty, sales, service and financial process;
- Significant independent judgment is used, but some direct guidance received from supervisor/manager;
- Adhere to all Company, Department, and Workgroup policies and procedures including Sarbanes-Oxley;
- Participate in department, workgroup, and project meetings and discussions.
**Req ID:**
11054BR
**Company Description:**
Progress Rail stands at the intersection of legacy and innovation-driving the future of rail with a pioneering spirit. Since its founding in 1983, the company has grown to become one of the world's largest and most trusted providers of railroad products, services, and technologies. Today, Progress Rail delivers a comprehensive portfolio of cost-effective solutions to railway customers around the globe. From the rails themselves to the EMD® locomotives that ride them, the company's products are in operation across more than 100 countries-powering progress and connecting communities. In 2006, Progress Rail joined Caterpillar Inc., further strengthening its ability to lead the rail industry with cutting-edge technology, unmatched expertise, and a commitment to excellence. At Progress Rail, the team is not just building the future of rail-they are making history every day.
**Education / Training:**
- Bachelor's degree with a major in engineering, business, or Finance or equivalent training.
**Job Title:**
Sr. Statistical Analyst - Warranty
**City:**
LaGrange
**Key Job Elements:**
- Prepare monthly and annual financial summaries;
- Maintain extended/ deferred warranty activities;
- Maintain Policy activities;
- Support department Sarbanes-Oxley requirements;
- Prepare and maintain proposal quote requests;
- Prepares, analyzes and audits warranty data for adjudication and reporting to PRL management;
- Prepares warranty application data integrity check to assure accuracy of information;
- Searches out and corrects inconsistent data and recommends process changes to strengthen data to allow for increased accuracy of failure, reliability, and cost calculations;
- Writes reports to customers, distributors, and/or field service team with summaries of findings as they relate to warranty claims;
- Monitors and audits reports to assure accuracy;
- Act as warranty analyst for Power Product distributors, and various other domestic accounts as required;
- Key resource for SAP warranty transactions;
- Maintain and record statistical data;
- Perform Special assignments as required;
- Approve/administer warranty claims problems/disputes as needed;
- Investigate/ resolve warranty request problems/disputes as needed;
- Review DIRs for accuracy;
- Review submitted orders for accuracy & update misinformation accordingly;
- Customer-specific conference calls;
- Coordinate on-site service welder support;
- Support management report requests.
**Qualifications and Experience:**
- Analytical ability where problems are complex;
- Interpersonal skills to work effectively with customers, suppliers and other departments;
- Proficient in Microsoft Office software (MS Word, Excel, Power Point and Access);
- Oral and written communications skills;
- Customer relationship building;
- Strong organization skills, able to consistently meet deadlines;
- Ability to work and contribute in a team environment;
- Technical knowledge of locomotive components;
- Extensive knowledge of SAP (Material Master, Purchase Orders, Financial Transactions, and Warranty Transactions);
- Knowledge of shop practices and basic machinery;
- Ability to travel as required.
**EEO:**
Progress Rail is an Equal Opportunity Employer, including Veterans and Individuals with Disabilities.
**Benefits:**
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance, and experience. Please note that salary is only one component of total compensation at Progress Rail.**
+ Competitive Salary
+ 401(k) plan with up to 6% company match (no waiting period with immediate vesting)
+ Medical/Dental/Vision/Life/Disability Insurance
+ Supplemental Accident, Critical Care, and Hospital Insurance available along with an HDHP and HSA with seed money
+ Flexible Spending Accounts
+ Paid Vacation
+ Paid Holidays
+ Paid Time-Off (PTO)
+ Employee Assistance Plan
+ Education Assistance Program
+ Employee Recognition Programs
+ Site specific Production and Incentive Plans
+ Site specific Step and Skill Level Wage Adjustment Plans
+ Site Specific Relocation and Sign-on Bonus Programs
_*Benefits eligibility varies by job position, full-time/part-time and regular/temporary status. The provisions of the plan documents control such benefits._
_**Subject to position, eligibility, and plan guidelines._
**Job Category:**
Marketing, Sales and Service
**State::**
Illinois
**Summary Pay Range:**
$77,069.75 - $139,668.00

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:
+ Career development with an international company where you can grow the career you dream of
+ Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
+ An excellent retirement savings plan with high employer contribution
+ Tuition reimbursement, the Freedom 2 Save ( student debt program and FreeU ( education benefit - an affordable and convenient path to getting a bachelor's degree
+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune
+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists
**THIS POSITION IS AN ON-SITE DAILY ROLE.**
**THIS POSITION CAN BE BASED OUT OF OUR FACILITY IN MAPLE GROVE, MN OR SANTA CLARA, CA**
**The Opportunity**
We are seeking an **Sr Statistical Analyst I** to join our Biometrics team for Abbott Medical Devices. Independently, the Sr Statistical Analyst I will review study protocol, statistical analysis plans, CRFs and edit check specifications; work with biostatisticians and clinical staff to generate analysis datasets, data tables, figures and listings; write and document programs; perform ad hoc programming; and perform QC tasks. May lead a small programming team with 1-3 analysts on a project.
**What You'll Work On**
+ Develop, validate, and maintain complex SAS programs for generating analysis datasets, tables, listings, and figures (TLFs).
+ Conduct quality checks of datasets against source data and validate statistical outputs.
+ Collaborate closely with cross-functional teams to develop ADS specifications and mock shells, in alignment with the team.
+ Collaborate with clinical, regulatory, and data management teams to define data checking requirements and resolve discrepancies.
+ Support regulatory submissions, DMC/CEC meetings, IRB packages, and scientific publications with statistical deliverables.
+ Summarize statistical methodologies and interpret results for internal and external stakeholders.
+ Set up programming environments, manage study folders, and create or modify project-specific macros.
+ Provide statistical expertise to cross-functional teams and departments outside of Biostatistics as needed.
+ Lead or mentor junior programmers, providing technical guidance and troubleshooting support.
+ Ensure compliance with Quality Management Systems (QMS), Environmental Management Systems (EMS), and other regulatory standards.
+ Respond to ad hoc programming requests and perform complex data checks for data management.
+ Maintain detailed documentation of datasets, programs, and specifications.
+ Communicate effectively with study teams and escalate critical issues to management in a timely manner.
**Required Qualifications**
+ M.S. degree in statistics, biostatistics or related majors with 3+ years minimum experience in statistical or SAS programming, OR Bachelor's degree with 5+ years' experience.
+ Extensive experience in clinical trial data analysis and SAS programming
**Preferred** **Qualifications**
+ Advanced degree
+ 2-5+ years' experience in medical device or pharmaceutical clinical research studies.
+ Experience working on medical device clinical studies in highly regulated environment.
+ Ability to manage multiple projects and deliver high-quality results under tight timelines.
+ Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.
+ Multitasks, prioritizes and meets deadlines in timely manner.
+ Able to describe complex procedures concisely and accurately.
+ Strong organizational and communication skills, attention to detail, and team leadership skills.
**Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:** ( your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life.
Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at , on Facebook at and on Twitter @AbbottNews.Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is $75,300.00 - $150,700.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email

University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Statistical Analyst A/B (Department of General Internal Medicine)
Job Profile Title
Statistical Analyst A
Job Description Summary
The Statistical Analyst A position will support health policy-related research projects conducted by investigators at the Leonard Davis Institute of Health Economics and the Department of Medicine at the Perelman School of Medicine. The Statistical Analyst position will use SAS and/or STATA programming skills to create analytical datasets from health care claims, administrative databases, clinical trials, and surveys to construct and standardize outcome measures and other analytical variables through data cleaning and data manipulation, to provide descriptive and analytical reports, and to perform specialized statistical analyses. Statistical Analyst B will be assigned to project that involve multiple and complex databases, requiring advanced SAS skills and more experience in the effective manipulation of large data. Strong teamwork and collaboration skills are needed to support multiple projects led by individual investigators. Statistical Analyst B will serve as a resource to Statistical Analysts A, suggesting programming solutions and sharing their skills in data creation and cleaning.
Job Description
DUTIES: The Statistical Analyst position will support health policy-related research projects conducted by investigators at LDI the Division of General Internal Medicine. The Statistical Analyst A will use standard SAS and/or STATA programming skills to create analytical datasets from clinical trials, surveys and health care claims, to construct and standardize outcome measures and other analytical variables through data cleaning and data manipulation, to provide descriptive and analytical reports, and to perform specialized statistical analyses. Statistical Analyst B will implement non-routine macros and advanced techniques to merge different datasets and create analysis files from complex databases. Statistical Analyst B will used advanced statistical methods to analyze the data. Strong teamwork and collaboration skills are needed to support multiple projects led by individual investigators.
QUALIFICATIONS: Statistical Analyst A: The minimum of a Bachelor's degree in Math/Statistics, Healthcare Management, Economics or Public Health and 3 years of related experience or an equivalent combination of education and experience required.
Statistical Analyst B: The minimum of a Master's degree in Math/Statistics, Healthcare Management, Economics or Public Health and at least 3 years of related experience or an equivalent combination of education and experience required.
Both levels: Experience in applying health services research methods through SAS or STATA programming is required. Statistical programming skills are required (strong expert level for B). Prior work experience in academic or research setting in health care is preferred. Prior experience with analyzing clinical trials is preferred. Position contingent upon funding.
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$57,500.00 - $88,000.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
Equal Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics) , citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law .
Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
+ Health, Life, and Flexible Spending Accounts : Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
+ Tuition : Take advantage of Penn's exceptional tuition benefits . You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
+ Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
+ Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.
+ Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
+ Wellness and Work-life Resources : Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
+ Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.
+ University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
+ Discounts and Special Services : From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
+ Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
+ Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
+ Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.

To learn more, please visit: University of Pennsylvania's special character is reflected in the wide variety of backgrounds, experiences, and perspectives of the Penn community. We seek talented faculty and staff who will constitute a vibrant community and help create an educational and working environment that best supports the University's commitment to excellence in teaching, research, and scholarship. The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status, or any class protected under applicable federal, state or local law.

Job Description

• 7 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills.
• Financial Domain knowledge is plus.
• Should have strong understanding of cloud Datawarehouse like Snowflake and Data modelling skill using Data Vault 2.0.
• Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data sources / tools such as Hive , S3 , Trino , HUE, etc.
• Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments.
• Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc.)
• Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2
• Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions.
• Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses
• Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.