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Remote Bayesian Jobs in Washington, DC (NOW HIRING)

Remote Bayesian information

See Washington, DC salary details

$94.6K

$143.9K

$193.7K

How much do remote bayesian jobs pay per year?

As of May 28, 2026, the average yearly pay for remote bayesian in Washington, DC is $143,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $162,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Bayesian, and why are they important?

To thrive as a Remote Bayesian, you need strong statistical knowledge, expertise in Bayesian inference, and a background in mathematics or data science, often supported by an advanced degree. Familiarity with programming languages like Python or R, Bayesian software such as Stan or PyMC, and experience with remote collaboration tools are typically required. Critical thinking, problem-solving, and clear communication are essential soft skills for interpreting results and working with distributed teams. These abilities are vital for delivering accurate, actionable insights in a remote environment where clear analysis and collaboration drive project success.

How do Remote Bayesian professionals typically collaborate with cross-functional teams given the virtual nature of their work?

Remote Bayesian professionals often work closely with data scientists, engineers, and decision-makers through virtual collaboration tools such as video conferencing, shared code repositories, and project management platforms. Clear communication is key, as they must explain complex probabilistic models and inferences to both technical and non-technical stakeholders. Regular check-ins and documentation help ensure alignment on project goals, data requirements, and model outcomes. This collaborative dynamic fosters an environment where insights from Bayesian analysis can directly inform business or research decisions, despite the physical distance.

What is a Remote Bayesian?

A Remote Bayesian is a professional who specializes in Bayesian statistics and probabilistic modeling while working remotely, often in fields like data science, machine learning, or research. They use Bayesian methods to update probabilities and make predictions based on data, collaborating with teams through digital communication tools. Remote Bayesians may work for tech companies, research institutions, or as independent consultants, applying their expertise to solve complex problems without being tied to a physical office location.

What is the difference between Remote Bayesian vs Remote Data Scientist?

AspectRemote BayesianRemote Data Scientist
Required CredentialsBackground in statistics, Bayesian methods, programming (Python/R)Statistics, computer science, or related degree; programming skills
Work EnvironmentResearch-focused, analytical tasks, often in tech or financeData analysis, modeling, business insights across industries
Industry UsageResearch institutions, AI, machine learning, financeTech companies, consulting, finance, healthcare

Remote Bayesian specialists focus on Bayesian statistical methods and probabilistic modeling, often in research or AI contexts. Remote Data Scientists have broader roles in data analysis and modeling across various industries. While both roles require strong analytical skills and programming, Remote Bayesian roles emphasize Bayesian techniques, whereas Remote Data Scientist roles encompass a wider range of data analysis tasks.

Vice President, Biometrics

Vice President, Biometrics

Altimmune

Gaithersburg, MD • Remote

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 www.altimmune.com.

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.


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