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Manager Statistical Programming Jobs in Frederick, MD

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 ...

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 ...

Manages statistical activities for a clinical study or platform of clinical studies ... May supervise Biostatisticians, Associate Biostatisticians and SAS programmers (all levels) and ...

Manages statistical activities for a clinical study or platform of clinical studies ... May supervise Biostatisticians, Associate Biostatisticians and SAS programmers (all levels) and ...

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Manager Statistical Programming information

See Frederick, MD salary details

$84K

$146.4K

$247.6K

How much do manager statistical programming jobs pay per year?

As of May 31, 2026, the average yearly pay for manager statistical programming in Frederick, MD is $146,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $159,100.00 per year, depending on experience, location, and employer.

What is a Manager Statistical Programming job?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the key skills and qualifications needed to thrive in the Manager Statistical Programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are the typical daily responsibilities of a Manager Statistical Programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.
What are the most commonly searched types of Statistical Programming jobs in Frederick, MD? The most popular types of Statistical Programming jobs in Frederick, MD are:
What are popular job titles related to Manager Statistical Programming jobs in Frederick, MD? For Manager Statistical Programming jobs in Frederick, MD, the most frequently searched job titles are:
What cities near Frederick, MD are hiring for Manager Statistical Programming jobs? Cities near Frederick, MD with the most Manager Statistical Programming job openings:
Infographic showing various Manager Statistical Programming job openings in Frederick, MD as of May 2026, with employment types broken down into 1% Internship, 25% Full Time, 70% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $146,448 per year, or $70.4 per hour.
Vice President, Biometrics

Vice President, Biometrics

Altimmune

Gaithersburg, MD โ€ข On-site

Full-time

Posted 26 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.

Altimmune provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.