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Data Science Leader Jobs in Massachusetts (NOW HIRING)

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Cambridge, MA 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 ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making ...

Novartis

Director Oncology Data Science LMW

Cambridge, MA · On-site

$194K - $361K/yr

Regularly interface with Oncology Disease Area leaders to align priorities and to effectively deploy resources. * Collaborate closely with the Oncology Data Science AI team and other teams such as ...

CookUnity

Director, Data Science/ML

Boston, MA

Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems * Translate complex ...

Td

Senior Manager, Data Science - FCRM Modeling

Boston, MA · On-site

$123K - $201K/yr

The Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

In this role, the individual leads machine learning projects with diverse scope and complex ... a data science team within the Quantitative Research and Investment Technology division in the ...

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All JobsData Science Leader JobsData Science Leader Jobs in Massachusetts

Data Science Leader information

See Massachusetts salary details

$50.2K

$180.2K

$265.9K

How much do data science leader jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science leader in Massachusetts is $180,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,800.00 and $185,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data science leaders, and how can they navigate them?

Data Science Leaders often face challenges such as aligning team efforts with business goals, managing diverse technical skill sets, and ensuring project stakeholders understand complex analytical insights. Balancing hands-on technical work with leadership responsibilities requires strong organizational and time management skills. Additionally, staying current with rapidly evolving tools and methodologies is essential for maintaining a team's competitive edge. Leveraging open communication, encouraging ongoing professional development, and building strong cross-functional relationships can help leaders successfully navigate these challenges.

What is a data science leader?

A Data Science Leader is responsible for guiding teams in leveraging data to drive business decisions and innovation. They oversee data strategy, mentor data scientists, collaborate with stakeholders, and ensure that data-driven solutions align with company goals. Their role blends technical expertise with leadership, requiring strong skills in analytics, machine learning, and communication.

What are the key skills and qualifications needed to thrive as a data science leader, and why are they important?

To thrive as a Data Science Leader, you need deep expertise in statistical modeling, machine learning, and data analytics, usually supported by advanced degrees in data science or related fields. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and certifications such as Certified Analytics Professional (CAP) are commonly expected. Exceptional communication, strategic thinking, and team leadership skills set outstanding candidates apart. These competencies are critical for driving impactful data solutions, fostering innovation, and effectively guiding teams to deliver on business objectives.

What are popular job titles related to Data Science Leader jobs in Massachusetts? For Data Science Leader jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Science Leader jobs in Massachusetts look for? The top searched job categories for Data Science Leader jobs in Massachusetts are:
Data Science Leader jobs near you
Infographic showing various Data Science Leader job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $180,220 per year, or $86.6 per hour.

Associate Director, Data Science

Novartis Farmacéutica

Cambridge, MA • On-site

$160.30 - $297.70/hr

Other

Medical, Life, Retirement, PTO

Posted 4 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.

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