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Bayesian Jobs in Philadelphia, PA (NOW HIRING)

Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications.

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience of early-phase drug development processes including innovative/ adaptive study design preferred.

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Bayesian information

What are the typical projects or challenges faced in a Bayesian-focused role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What jobs pay 200,000 a year in the USA?

A Bayesian analyst or data scientist with advanced skills in statistical modeling and machine learning can earn around $200,000 annually, especially with experience and in high-demand industries like finance or tech. Senior roles in data science, machine learning engineering, and quantitative analysis often reach or exceed this salary level. Certifications in data analysis and proficiency with tools like Python, R, or SQL can enhance earning potential.

What is a Bayesian job?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What jobs make $1,000,000 a year?

In the field of Bayesian analysis, high-earning roles such as senior data scientists, quantitative researchers, or chief data officers can reach or exceed $1,000,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced statistical skills, extensive experience, and often involve leadership responsibilities or equity compensation.

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

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

What does it mean to be Bayesian?

A Bayesian is a professional who applies Bayesian methods, which involve updating probabilities based on new data, often using statistical software and programming skills. They work in fields like data analysis, machine learning, or research, emphasizing probabilistic reasoning and statistical inference.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility, performance-based bonuses, or profit sharing. In some cases, highly skilled professionals in technology, law, or finance can also achieve this level of compensation.
What are the most commonly searched types of Bayesian jobs in Philadelphia, PA? The most popular types of Bayesian jobs in Philadelphia, PA are:
What are popular job titles related to Bayesian jobs in Philadelphia, PA? For Bayesian jobs in Philadelphia, PA, the most frequently searched job titles are:
What cities near Philadelphia, PA are hiring for Bayesian jobs? Cities near Philadelphia, PA with the most Bayesian job openings:
Infographic showing various Bayesian job openings in Philadelphia, PA as of July 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Senior Director, Advanced Pharmacometrics, Quantitative Pharmacology and Pharmacometrics - Immuno-On

Senior Director, Advanced Pharmacometrics, Quantitative Pharmacology and Pharmacometrics - Immuno-On

Merck & Co.

Upper Gwynedd, PA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

42nd of 86 rated pharmaceutical


Job description

Job DescriptionWe are seeking an accomplished scientific leader to join the Quantitative Pharmacology and Pharmacometrics - Immuno-Oncology (QP2-IO) team as-Senior Director, Advanced Pharmacometrics. QP2-IO is part of the Global Clinical Development organization and is responsible for clinical pharmacology and pharmacometrics strategy and execution for oncology assets, from candidate nomination through registration.Our Senior Directors are recognized experts in quantitative drug development and possess a deep, integrated understanding of both the science and the strategic, end-to-end dimensions of oncology drug development. Reporting directly to Executive Director and Section Head, QP2-IO, the Senior Director will lead advanced pharmacometrics strategy and implementation to inform key oncology portfolio decisions. -The ideal candidate is an accomplished scientific leader with deep expertise in oncology drug development and has a proven track record in shaping and delivering impactful oncology MIDD strategies. This individual must have extensive experience in population PK/PD, tumor dynamics and survival modeling, Bayesian inference, and model-based meta-analysis (MBMA), along with strong cross-functional influencing skills in a matrixed environment. The role includes substantial internal and external engagement, including with vendors and regulatory agencies.Primary ResponsibilitiesStrategic LeadershipLead quantitative pharmacology strategy across the oncology portfolio, ensuring alignment with program goals and organizational priorities.Develop and implement long-range plans for integrating MIDD, pharmacometrics, data science, and Bayesian modeling approaches to accelerate and de-risk oncology drug development.Partner with senior leaders in Clinical Development, Translational Medicine, Biostatistics, Regulatory, and Data Science to define modeling strategies that influence program design and key decisions.Scientific & Technical LeadershipOversee development of advanced pharmacometrics modeling including but not limited to population PK/PD, tumor dynamics and survival modeling, advanced models to inform dose selection, clinical design, and benefit-risk assessments.Champion the use of Bayesian methods including hierarchical and joint modeling, and prior-data integration to strengthen oncology decision-making.Ensure high-quality, regulatory grade pharmacometric deliverables for submissions, label negotiations, and scientific advice meetings.Stay at the forefront of emerging methodologies including AI/ML and promote innovation in modeling tools, computational frameworks, and analytics platforms.Team Leadership & DevelopmentLead, mentor, and develop a team of quantitative scientists in a matrixed role.Foster a culture of scientific rigor, excellence, collaboration, and innovation.Cross-Functional CollaborationCollaborate with QP2 leads to design efficient, model-informed clinical trialsWork closely with Translational, Clinical, Biostatistics functions to integrate advanced modeling into decision frameworks.Regulatory & External EngagementContribute to regulatory strategy through preparation of pharmacometric reports, briefing documents, and presentations.Represent the company at scientific conferences, external collaborations, consortia, and industry working groups.Minimum EducationPh.D.-in pharmacokinetics/pharmacodynamics, pharmacometrics, mathematics, statistics/biostatistics, chemical/biomedical engineering, or a related discipline with-at least 10 years-of pharmaceutical drug development experience, including substantial experience in pharmacometrics roles. OR Master's, PharmD, or equivalent degree-with-at least 15 years-of pharmaceutical drug development experience, with a demonstrated record of increasing responsibility, independence, and leadership in similar roles.Required Experience and SkillsExtensive and in-depth experience in application of MIDD in oncology drug development to drive impactful development decisions.Deep proficiency in advanced pharmacometrics methods such as:Bayesian hierarchical models, joint models of tumor and survival, drop-out models, MBMA, advanced clinical trial simulation methods, integrating PROs and RWD into traditional NLME approaches. -Hands-on experience with software such as NONMEM, Pumas, Stan, R, and/or other Bayesian platforms.Advanced analytical skills, including designing and interpreting clinical trials, problem solving, critical data analysis, interpretation, and decision making.Understanding of oncology biology, translational pathways, and clinical endpoints (e.g., ORR, PFS, OS, tumor dynamic modeling).Demonstrated impact across multiple therapeutic modalities, including, for example, antibody-drug conjugates (ADCs), T cell engagers (TCEs) monoclonal antibodies (mAbs), cytokines, and small molecules.Experience integrating AI/ML methods into clinical pharmacology and pharmacometrics workflows to advance model-informed drug development, optimize study design, and support regulatory decision-making is preferred.Excellent written and verbal communication skills, with a track record of effective cross-functional collaboration, stakeholder management in a matrixed environment and ability to influence at senior levels.#QP2#Eligible for ERPThe remote position is only applicable for those that are not within commutable distance to primary sites noted in posting.- If commutable, the position will be hybrid. Please note that standard commute is (less than) Required Skills: Biopharmaceutical Industry, Clinical Development, Cross-Functional Collaboration, Data Modeling, Data Science, Data Visualization, Drug Development, Effective Written Communication, Model Driven Development, Modeling Software, Nonlinear Mixed Effects Modeling (NONMEM), Oncology Drug Development, Pharmacodynamics, Pharmacokinetics, Pharmacometrics, Verbal CommunicationsPreferred Skills: Artificial Intelligence (AI), Bayesian Models, Machine Learning (ML), Multiple Therapeutic Areas, PKPD Modeling, Population PharmacokineticsCurrent Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your Rights EEOC GINA Supplement• We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is$210,400.00 - $331,100.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: -We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: -We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully-Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.-Employee Status: RegularRelocation:No relocationVISA Sponsorship:Yes Travel Requirements: 10%Flexible Work Arrangements:Not ApplicableShift:Not IndicatedValid Driving License:NoHazardous Material(s):n/aJob Posting End Date:07/31/2026 *A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R408271 Salary: . Date posted: 07/18/2026

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