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Data Science Associate Jobs in Watertown, MA (NOW HIRING)

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Associate Director Location: 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 ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site

$64K - $65K/yr

The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in support of R&D Data Science needs for Bayer ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in support of R&D Data Science needs for Bayer ...

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Data Science Associate information

See Watertown, MA salary details

$62.5K

$74K

$140.3K

How much do data science associate jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science associate in Watertown, MA is $73,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $64,700.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Watertown, MA? The most popular types of Data Science jobs in Watertown, MA are:
What job categories do people searching Data Science Associate jobs in Watertown, MA look for? The top searched job categories for Data Science Associate jobs in Watertown, MA are:
What cities near Watertown, MA are hiring for Data Science Associate jobs? Cities near Watertown, MA with the most Data Science Associate job openings:
Data Science Associate jobs near you

Associate Director, Data Science

Novartis Farmacéutica

Cambridge, MA • On-site

$160.30 - $297.70/hr

Other

Medical, Life, Retirement, PTO

Posted 6 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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