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Predictive Modeling Jobs in Pennsylvania (NOW HIRING)

We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making. * Apply statistical and analytical techniques to solve real-world ...

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Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for predictive modeling in Pennsylvania is $58.85, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $68.41 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

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

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in Pennsylvania? The most popular types of Predictive Modeling jobs in Pennsylvania are:
What job categories do people searching Predictive Modeling jobs in Pennsylvania look for? The top searched job categories for Predictive Modeling jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Predictive Modeling jobs? Cities in Pennsylvania with the most Predictive Modeling job openings:
Infographic showing various Predictive Modeling job openings in Pennsylvania as of July 2026, with employment types broken down into 69% Full Time, 12% Part Time, and 19% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,416 per year, or $58.9 per hour.
Manager/Associate Director - Predictive Sciences, Asia Translational Medicine

Manager/Associate Director - Predictive Sciences, Asia Translational Medicine

GlaxoSmithKline

Philadelphia, PA • Hybrid

Full-time

Posted 11 days ago


GlaxoSmithKline rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

9th of 86 rated pharmaceutical


Job description

We are seeking a highly motivated translational scientist to join the Predictive Sciences group within Asia Translational Medicine (ATM), where quantitative modeling, clinical pharmacology, biomarkers, and translational data science are integrated to enable model-informed research and development. This role offers a unique opportunity to shape global clinical development by leveraging Asia's rapidly evolving biomedical innovation ecosystem, diverse patient populations, and growing translational research capabilities to generate actionable insights with enterprise-wide impact. In this role, you will partner with regional and global, multidisciplinary clinical and translational teams to develop and apply cutting-edge quantitative approaches that inform clinical development strategies and deepen our understanding of causal disease biology and therapeutic response.

Working across multiple therapeutic areas and advanced therapeutic modalities - including therapeutic proteins, antibodies, and nucleic acids (particularly, siRNA and antisense oligonucleotides) - you will integrate mechanistic modeling, biomarkers, translational -omics, and clinical trial data to enable model-informed drug development. You will also help advance state-of-art predictive modeling methodologies and computational capabilities that strengthen quantitative translational science across the portfolio.

Key responsibilities include:
  • Serve as the Predictive Sciences representative on multidisciplinary translational medicine teams, developing and applying quantitative strategies that contribute to biomarker strategy and inform clinical development and model-informed decision making.

  • Develop and apply mechanistic modeling approaches - including PK/PD, PBPK/PD, QSP, and AI/ML-enabled analytics - to integrate clinical and translational data, characterize human pharmacology (including ethnopharmacology), evaluate alternative trial designs, and forecast the probability of technical success for different dosing regimens, combination strategies, patient populations, and regional standards of care.

  • Generate quantitative evidence that informs critical project and portfolio decisions, including candidate progression, clinical development strategy, and investment prioritization.

  • Partner closely with Clinical Pharmacology, Biomarkers, Bioanalytical Sciences, Clinical Development, and other partnering functions to address complex scientific questions and advance translational hypotheses.

  • Communicate quantitative strategies and modeling results to project teams, governance committees, regulatory agencies, and external scientific audiences with clarity and scientific rigor.

  • Advance Predictive Sciences through the development and application of innovative modeling methodologies, computational technologies, and reusable quantitative frameworks with impact across therapeutic areas and development programs.

Why you?Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

  • PhD, PharmD, MD, or equivalent doctoral degree in Pharmaceutical Sciences, Quantitative and/or Clinical Pharmacology, Bioengineering, Mathematics, Medicine, or a related quantitative discipline.

  • Experience in mechanistic modeling approaches, including PK/PD, PBPK, and/or QSP, applied to drug development.

  • Experience with use of AI/ML, virtual population, or digital twin approaches for executing in silico clinical trial simulation is advantageous.

  • Experience with integrating quantitative modeling with clinical pharmacology, biomarkers, relevant clinical endpoints, and biological/disease mechanisms to inform translational and clinical development.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

  • Excellent communication and collaboration skills. Experience working in multidisciplinary drug development teams (for Associate Director-level). Fluency in English (written and oral) is required.

  • Experience within immunology, hepatology, respiratory, renal, oncology, or related therapeutic areas.

  • Experience applying predictive modeling approaches to biologics, oligonucleotides, or other advanced therapeutic modalities.

  • Track record of scientific publication, conference presentations, and application of model-informed drug development in research and/or development projects.

We have flexibility to hire at the Manager (entry) or Associate Director level, depending on the candidate's experience and expertise. This position will be based at one of GSK's sites in Upper Providence, Pennsylvania (US), Philadelphia, Pennsylvania (US), GSK Asia House, Rochester Park (Singapore), or Zhangjiang Park, Shanghai (China). This role is offered as a hybrid position with an expectation to be on-site 2-3 days per week. Occasional travel may be required.

#LI-GSK


Skills

Animal Models, Artificial Intelligence (AI), Clinical Development, Clinical Pharmacology, Drug Design, Drug Development, Drug Discovery Research, In Vitro Models, In Vitro Research, Medication Safety, Pharmaceutical Sciences, Pharmacodynamics, Pharmacokinetics, Pharmacometrics, Regulatory Compliance

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at -usrecruitment.adjustments@gsk.com

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/


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About GlaxoSmithKline

Sourced by ZipRecruiter

GlaxoSmithKline is a globally recognized pharmaceutical and healthcare company based in Philadelphia, PA, USA. Originated from a merger between Glaxo Wellcome and SmithKline Beecham in 2000, the company excels in the pharmaceutical industry and holds a leading position in making medicines, vaccines, and consumer healthcare products. GSK's mission is to improve the quality of human life by enabling people to do more, feel better, and live longer. They adhere to core values of transparency, integrity, respect for people, and patient-focus, reflecting in their endeavors to conduct research and deliver innovative healthcare solutions to patients and consumers worldwide.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US