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Vice President Statistics Jobs (NOW HIRING)

The Vice President, Quality will collaborate closely with business and plant leadership to ... Advanced knowledge of Lean, Six Sigma, APQP, FMEA, ISO standards, and statistical problem-solving ...

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The Vice President, Quality will collaborate closely with business and plant leadership to ... Advanced knowledge of Lean, Six Sigma, APQP, FMEA, ISO standards, and statistical problem-solving ...

Vice President - {SR10045896}

New York, NY · On-site

$192.28K - $222.50K/yr

Vice President - SR10045896 DB USA Core Corporation seeks a Vice President in New York, NY to ... of stats on applications and functionality usage; developing Rich Internet and Intranet ...

The Vice President, Quality will collaborate closely with business and plant leadership to ... Advanced knowledge of Lean, Six Sigma, APQP, FMEA, ISO standards, and statistical problem-solving ...

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Vice President Statistics information

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$43.5K

$157.5K

$277.5K

How much do vice president statistics jobs pay per year?

As of May 28, 2026, the average yearly pay for vice president statistics in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Statistics, and why are they important?

To thrive as a Vice President of Statistics, you need advanced expertise in statistical analysis, data interpretation, and leadership, typically supported by a PhD or master's degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), data management systems, and familiarity with industry-specific compliance standards are commonly required. Exceptional strategic thinking, communication, and team leadership are critical soft skills that set top candidates apart. These competencies enable effective oversight of data-driven decision-making, ensure accuracy in statistical projects, and foster innovation and collaboration across the organization.

What are some of the main challenges faced by a Vice President of Statistics in leading a data-driven team?

A Vice President of Statistics often navigates challenges such as aligning statistical initiatives with broader business goals, ensuring data integrity across diverse sources, and managing a multidisciplinary team of statisticians and data scientists. Additionally, they must effectively communicate complex statistical findings to non-technical stakeholders and foster a culture of continuous learning within the team. Balancing tactical project deliverables with long-term strategic planning is also a key aspect of the role.

What does a Vice President of Statistics do?

A Vice President of Statistics is a senior executive responsible for overseeing the statistical analysis and data interpretation within an organization. Their role typically includes managing teams of statisticians, developing analytical strategies, ensuring the integrity and accuracy of data, and providing insights to guide business decisions. They collaborate with other departments, present findings to stakeholders, and help shape company policies based on statistical evidence. This position often requires advanced expertise in statistics, leadership skills, and experience in data-driven industries.

What is the difference between Vice President Statistics vs Data Scientist?

AspectVice President StatisticsData Scientist
Required CredentialsAdvanced degree (Master's or PhD) in Statistics, Mathematics, or related field; extensive experience in leadership rolesTypically a Master's or PhD in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentExecutive leadership, strategic planning, overseeing teams, collaborating with C-suiteTechnical analysis, modeling, coding, data exploration, often in collaborative teams
Employer & Industry UsageUsed in large corporations, finance, healthcare, and tech firms for strategic decision-makingCommon across tech companies, consulting, finance, and research institutions for data analysis

The Vice President Statistics focuses on strategic leadership, overseeing statistical teams, and aligning analytics with business goals. In contrast, Data Scientists are more hands-on with data analysis, modeling, and technical implementation. Both roles require strong statistical credentials, but the VP role emphasizes leadership and strategy, while Data Scientists focus on technical expertise and data-driven solutions.

What cities are hiring for Vice President Statistics jobs? Cities with the most Vice President Statistics job openings:
What are the most commonly searched types of Statistics jobs? The most popular types of Statistics jobs are:
What states have the most Vice President Statistics jobs? States with the most job openings for Vice President Statistics jobs include:
Infographic showing various Vice President Statistics job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Temporary. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Vice President, Biometrics

Vice President, Biometrics

Altimmune, Inc.

Gaithersburg, MD

Full-time

Posted 21 days ago


Job description

About Altimmune:
Altimmune (NASDAQ: ALT) is a late clinical-stage biopharmaceutical company developing therapies for patients with serious liver diseases. The Company's lead candidate, pemvidutide, is a unique dual-action therapy targeting both glucagon and GLP-1 receptors in a balanced 1:1 ratio in development for the treatment of metabolic dysfunction-associated steatohepatitis (MASH), alcohol use disorder (AUD), and alcohol-associated liver disease (ALD). For more information, please visit .
Summary of Position:
Reporting to the Chief Medical Officer, the Vice President of Biometrics provides strategic leadership and oversight for all statistical and data management activities supporting Altimmune's clinical development portfolio. This role defines and drives the statistical strategy for programs from early development through pivotal trials and regulatory submission - and in the future will drive real-world evidence generation and post-marketing activities - ensuring the scientific integrity of clinical trial design, analysis, and interpretation. The Vice President, Biometrics, oversees internal and external teams across biostatistics, data management, and statistical programming, and serves as a key partner in shaping cross-functional development plans for pemvidutide in MASH, AUD, and ALD. The position plays a central role in quantitative decision-making, regulatory interactions, and the application of statistical methodologies. Success requires exceptional scientific judgment, a strong regulatory track record, and the ability to communicate complex statistical concepts early across clinical, scientific, and executive stakeholders. Depending upon location, this role will be hybrid or remote and will require some travel as business needs dictate.
Essential Functions:
  • Shape statistical strategy for clinical development programs, including endpoint selection, estimand frameworks, and overall statistical positioning to support program objectives and corporate milestones
  • Evaluate, recommend, and implement innovative statistical techniques - including adaptive designs, Bayesian methods, enrichment strategies, and real-world evidence integration - to enhance trial efficiency and decision-making
  • Contribute to portfolio-level planning, including scenario modeling, probability of success assessments, quantitative risk evaluation, and go/no-go recommendations
  • Oversee the development and governance of standard processes, systems, and infrastructure for biometrics, data management, and statistical analysis programming to ensure quality, consistency, and compliance
  • Direct the development of statistical components of study protocols, statistical analysis plans, and review of statistical programming outputs to ensure accuracy and regulatory readiness
  • Lead data collection, validation, management, and storage strategies that meet data standards and support high-quality regulatory submissions
  • Serve as the senior statistical representative in regulatory interactions, contributing to briefing packages, responses, and advisory committee preparation
  • Lead, mentor, and develop a high-performing biostatistics and data management team, fostering scientific excellence, accountability, and cross-functional collaboration
  • Manage external partners and CROs to ensure high-quality, timely deliverables and alignment with internal standards and program needs
  • Ensures timely and accurate delivery of clinical study data analyses to support program decisions, regulatory filings, and communication
  • Interpret and communicate clinical trial data to internal and external stakeholders, contributing to scientific publications, presentations, and regulatory submission documents
Job Requirements (Essential knowledge, skills, and attributes):
  • MS or PhD in Biostatistics, Statistics, or related quantitative field
  • 15 or more years of industry experience in biotech or pharma
  • At least 8 years' experience leading and developing high-performing teams
  • Demonstrated success leading statistical strategy for pivotal trials and significant contributions to successful regulatory submissions (IND, NDA, BLA, MAA), with a strong track record of direct interaction with global health authorities.
  • Proven ability to lead and scale teams, including remote and in-person teams
  • Strong communication skills, both orally and in writing, with an ability to interpret and communicate statistical concepts and results clearly to non-statistical stakeholders, senior executives, investigators, vendors, and regulatory agencies.
  • Deep expertise in clinical trial design and statistical methodology across all phases, including confirmatory trial methods, multiplicity control, missing data strategies, interim monitoring, estimand-aligned analyses, and benefit-risk assessment
  • Experience with innovative and complex designs such as adaptive trials, Bayesian methods, enrichment strategies, and integration of real-world evidence
  • Familiarity with modern data infrastructure, including CDISC standards, data visualization tools, and statistical programming environments; proficiency with SAS for complex analyses
  • Proven ability to operate effectively in fast-paced, entrepreneurial biotech settings, balancing scientific rigor with practical decision-making
  • History of successful collaboration in a team environment throughout the organization, with strong organizational skills and the ability to prioritize multiple competing demands
  • Experience with Data Monitoring Committees and therapeutic experience in metabolic diseases preferred but not required.