ZipRecruiter

Log In

1

Modelling Jobs in Boston, MA (NOW HIRING)

Costello-Medical-1

Senior Health Economist

Boston, MA · On-site

$100 - $125/hr

Our Health Economics team deliver modelling projects to a broad range of pharmaceutical, medical devices companies and public sector and non-profit clients. You will work across different accounts ...

Instem plc

Principal AI Scientist and Lead

Boston, MA · On-site

Preclinical Predictive Modelling • Develops predictive and generative AI models using Python and modern ML frameworks. • Experienced in applying AI to preclinical and drug discovery challenges ...

Steer

AVP, Traffic & Revenue Forecasting

Boston, MA · On-site

Expert technical network modelling skills in Cube and/or EMME. * Expert technical skills in econometrics, choice modelling or other T&R techniques. * Market/modal experience outside of highways ...

Instem plc

Principal AI Scientist and Lead

Boston, MA · Hybrid

Apply advanced modelling techniques across toxicity, QSAR, PK/PBPK, omics, and endpoint prediction, ensuring robust scientific validation. Build the AI Data Estate Expand and manage the data assets ...

Instem plc

Principal AI Scientist and Lead

Boston, MA · Hybrid

Apply advanced modelling techniques across toxicity, QSAR, PK/PBPK, omics, and endpoint prediction, ensuring robust scientific validation. Build the AI Data Estate Expand and manage the data assets ...

previous pagenext page

Showing results 21-40

All JobsModelling JobsModelling Jobs in Boston, MA

Modelling information

See Boston, MA salary details

$52

$80

$102

How much do modelling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for modelling in Boston, MA is $80.06, according to ZipRecruiter salary data. Most workers in this role earn between $73.12 and $91.68 per hour, depending on experience, location, and employer.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.

What are the key skills and qualifications needed to thrive as a model?

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Do beginner models get paid?

Beginner models can get paid, but the amount varies depending on the type of modeling, the market, and the agency. Some beginner models work for free or for portfolio development, while others earn hourly or project-based fees once they gain experience and build a portfolio. Payment terms are typically outlined in contracts or agency agreements.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good appearance, confidence, and understanding of industry standards can improve chances of success.
Modelling jobs near you
Infographic showing various Modelling job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 82% Physical, 10% Hybrid, and 8% Remote job distribution, with an average salary of $166,524 per year, or $80.1 per hour.

Associate Director, Data Science

Novartis Farmacéutica

Cambridge, MA • On-site

$160.30 - $297.70/hr

Other

Medical, Life, Retirement, PTO

Posted 14 days ago

Job description

Job Title

Associate Director – Data Science (Cambridge, MA)

Overview

Novartis is a leader in data science and model-informed drug development. We are seeking an experienced data science leader to advance data-driven drug discovery and development by integrating advanced analytics, machine learning, and mechanistic modelling approaches in Cambridge, MA.

Responsibilities
  • Shape and advance AI-driven MIDD by integrating mechanistic modelling and machine learning to bridge biology and clinical outcomes.
  • Design and implement hybrid modeling pipelines where mechanistic simulations generate features for machine learning models.
  • Translate model‑derived biomarkers and mechanistic states into clinically relevant predictions and decision‑support tools.
  • Drive scientifically grounded AI approaches that enhance mechanistic understanding, ensuring rigor, interpretability, and robustness.
  • Develop scalable, reproducible workflows integrating data science, mechanistic modelling, and in‑house tools.
  • Define and implement project‑specific in silico modelling and data strategies aligned with key decision questions.
  • Apply and advance currently available data mining and advanced analytics to link molecular structure, ADME properties, and pharmacological outcomes across modalities.
  • Drive adoption and effective use of in silico models, tools, and data to accelerate decision‑making.
  • Collaborate with PKS, Translational Medicine, and Data & Digital teams to integrate diverse datasets (preclinical, clinical, external).
  • Contribute to translational programs across disease areas and communicate modelling insights to influence decision‑making.
  • Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and development, and proactively evaluate and bring appropriate innovation into practice to improve efficiency and scientific impact.
Qualifications
  • Advanced degree in life sciences or quantitative discipline (e.g., data science, computational biology, pharmacometrics, bioinformatics, computational chemistry, biomedical engineering or related field).
  • PhD with 5+ years or MSc with 8+ years of relevant experience in drug discovery or development.
  • Strong expertise in machine learning, statistics, and data science methods.
  • Demonstrated experience applying reproducible data science approaches to drug discovery or development.
  • Experience combining mechanistic modeling and data‑driven approaches is strongly preferred.
  • Strong understanding of ADME, PK/PD, and/or translational modeling concepts.
  • Proficiency in Python and/or R, including software development best practices (version control, testing, documentation).
  • Experience with machine learning libraries such as scikit‑learn, PyTorch, or Keras.
  • Strong data visualization and exploratory data analysis skills.
  • Ability to translate complex analytical concepts into clear, actionable insights.
  • Strong collaboration and communication skills across multidisciplinary teams.
  • Fluency in English (oral and written).
Salary and Benefits

The salary for this position is expected to range between $160,300 and $297,700 per year. The final salary offered is determined based on relevant skills and experience, and upon joining Novartis will be reviewed periodically. Salary may be adjusted based on company and market factors.

Your compensation will include a performance‑based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US‑based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Employees are eligible for a generous time‑off package including vacation, personal days, holidays and other leaves.

This is a hybrid role that requires a balance of in‑person and virtual working, with an average of 12 days a month on site in Cambridge, MA.

#J-18808-Ljbffr

Apply