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Machine Learning Quant Jobs in Massachusetts (NOW HIRING)

Cisco

Principal Machine Learning Engineer

Boston, MA · On-site

$291K - $369K/yr

PhD in Computer Science, or related quantitative field, plus7+ years of industry research ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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Machine Learning Quant information

See Massachusetts salary details

$57.3K

$130.1K

$214.6K

How much do machine learning quant jobs pay per year?

As of Jun 30, 2026, the average yearly pay for machine learning quant in Massachusetts is $130,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning Quant job?

A Machine Learning Quant is a specialist in quantitative finance who applies machine learning techniques to develop trading strategies, manage risk, and analyze financial data. They leverage statistical models, deep learning, and reinforcement learning to identify patterns in market data and optimize predictions. This role typically involves programming in Python or C++, working with large datasets, and collaborating with traders and researchers. Machine Learning Quants are employed by hedge funds, investment banks, and proprietary trading firms to gain a competitive edge in financial markets.

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

To thrive as a Machine Learning Quant, you need strong skills in quantitative analysis, programming (often in Python or C++), statistical modeling, and a solid foundation in applied mathematics, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), financial data platforms, and certifications such as CFA or advanced degrees can be advantageous. Critical thinking, collaboration, and clear communication are key soft skills that enhance effectiveness in working with both technical and non-technical stakeholders. These competencies are crucial for building and validating models that inform high-stakes financial strategies and deliver value in fast-paced trading environments.

What are typical daily responsibilities for a Machine Learning Quant in a financial firm?

As a Machine Learning Quant, your day often involves researching and developing predictive models using large financial datasets, backtesting quantitative strategies, and optimizing algorithms for speed and accuracy. You'll collaborate closely with traders, data engineers, and other quants to implement models in live trading environments and refine them based on performance feedback. Regular activities also include monitoring new data sources, adjusting to changes in the market, and documenting your methodologies for regulatory or team review. This multidisciplinary work environment offers the opportunity to continuously learn and directly impact trading outcomes.

What are the most commonly searched types of Machine Learning Quant jobs in Massachusetts? The most popular types of Machine Learning Quant jobs in Massachusetts are:
What are popular job titles related to Machine Learning Quant jobs in Massachusetts? For Machine Learning Quant jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quant jobs in Massachusetts look for? The top searched job categories for Machine Learning Quant jobs in Massachusetts are:
Machine Learning Quant jobs near you
Infographic showing various Machine Learning Quant job openings in Massachusetts as of June 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $130,143 per year, or $62.6 per hour.
Postdoctoral Scientist - AI & Machine Learning for Predictive Drug Absorption

Postdoctoral Scientist - AI & Machine Learning for Predictive Drug Absorption

Pfizer

Cambridge, MA

$64K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Pfizer rating

8.3

Company rating: 8.3 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

24th of 73 rated pharmaceutical

Job description

Shape the Future of Oral Drug Development with AIDriven Predictive Science

Last day to apply: June 30th

Pfizer Research & Development is seeking a highly motivated Postdoctoral Scientist with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) to advance the prediction of oral drug absorption and formulation performance. In this role, you will play a critical part in developing next-generation predictive models that help transform how drug products are designed, optimized, and translated into clinical success.

You will focus on building, evaluating, and interpreting advanced machine learning models using large, diverse datasets drawn from multiple scientific and clinical sources. Your work will emphasize scalability, interpretability, and real-world applicability ensuring that model outputs are not only technically robust but also scientifically meaningful and decision relevant. A key aspect of this role is the development of explainable modeling approaches, including physics-informed and mechanism-informed learning, to bridge data-driven insights with fundamental pharmaceutical science.

Through this work, you will directly contribute to enabling earlier, faster, and more confident decision-making across Pfizer's R&D portfolio. Your models will help inform formulation strategies, predict in vivo performance, and reduce uncertainty in the development process, ultimately accelerating the delivery of high-quality medicines to patients.

This position is embedded within the Drug Product Design and Supply (DPDS) organization, part of Pfizer's broader Pharmaceutical Sciences division. The role is based in Groton, Connecticut, or Cambridge, Massachusetts, and offers a highly collaborative environment where you will partner closely with interdisciplinary experts across Digital & AI, Clinical Pharmacology, Pharmacometrics, and other quantitative R&D teams. Together, you will integrate cutting-edge AI methodologies with deep domain expertise to solve complex challenges at the intersection of data science and drug development.

Key Responsibilities

  • Design, train, and evaluate machinelearning models for predicting oral drug absorption-related outcomes from highdimensional datasets.

  • Develop endtoend ML pipelines, including data ingestion, feature engineering, model training, validation, and performance benchmarking.

  • Work with large, diverse datasets, including experimental biopharmaceutics data and clinical pharmacokinetic datasets, and internally generated datasets relevant to predictive modelling.

  • Apply and compare a range of ML approaches, including treebased methods, neural networks, surrogate models, probabilistic approaches for uncertaintyaware prediction.

  • Focus on model interpretability and explainability, linking learned patterns to scientifically meaningful drivers where possible.

  • Quantify model robustness, generalizability, and uncertainty, particularly in datasparse or extrapolative scenarios.

  • Translate ML outputs into actionable insights for drug development teams, rather than purely academic metrics.

  • Communicate results through internal technical reports, crossfunctional presentations, and peerreviewed publications.

  • Contribute to the establishment of AIenabled predictive platforms within Pfizer R&D.

REQUIRED QUALIFICATIONS (must have)

  • PhD in Machine Learning, Data Science, Applied Mathematics, Computational Sciences, Engineering, Pharmaceutical Sciences, or a closely related quantitative discipline.

  • Provide two letters of recommendation with your application (e.g. professors/PI).

  • Willingness to commit to the fixedterm full-time postdoctoral fellowship (duration: 2-4 years).

  • Less than 2 yearspost-doctoralexperience.

  • At least 1 first-author scientific researcharticlein high-quality specialty or general readership journals.

  • Strong foundation in machine learning and statistical modelling, with handson experience building and evaluating predictive models.

  • Proficiency in Python and/or R for data analysis and ML development (e.g. scikitlearn, PyTorch, TensorFlow, or similar).

  • Experience working with large, heterogeneous datasets and structured scientific data.

  • Demonstrated research productivity, evidenced by peerreviewed publications or equivalent scientific outputs.

  • Ability to collaborate effectively in multidisciplinary research environments.

Preferred Qualifications (nice to have)

  • Experience applying ML to scientific, pharmaceutical or biomedical, datasets.

  • Familiarity with model interpretability, explainable AI, or uncertainty quantification.

  • Exposure to mechanistic modelling, including physiologically based pharmacokinetic (PBPK) and physiologically based biopharmaceutics modeling (PBBM), simulationderived data, or physics-informed / mechanism-informed learning.

  • Interest in translating ML models into realworld decisionsupport tools, rather than purely predictive benchmarks.

  • Strong scientific presentation skills.

Training & Development

This position is part of the Pfizer Research & Development Postdoctoral Training Program and offers:

  • Mentorship from senior scientists in quantitative drug development.

  • Exposure to real R&D decisionmaking at scale.

  • Opportunities for publication, and crosssite collaboration.

  • Structured professional development within a worldclass pharmaceutical research environment.


PHYSICAL/MENTAL REQUIREMENTS

Ability to perform complex data analysis

Ability to perform mathematical calculations

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

  • Will be required to occasionally travel (0-5%)

  • Relocation support is available

  • Last day to apply: June 30th

The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

Pfizer endeavors to makewww.pfizer.com/careersaccessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please emaildisabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available onPfizer Careers.

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About Pfizer

Sourced by ZipRecruiter

All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Our Health and Science System Specialists Team provides leadership across patient care settings in the complex Hospital, Health System, and Key Medical Group environment to bring value to our customers and patients in this dynamic ecosystem.

Industry

Pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1849

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