ZipRecruiter

Log In

1

Data Science Jobs in Somerville, MA (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 ...

Novartis

Director Oncology Data Science LMW

Cambridge, MA · On-site

$194K - $361K/yr

Onsite The Oncology Data Science team in Biomedical Research supports the Oncology Disease Area with computational biology, Artificial Intelligence / Machine Learning (AI/ML), and data engineering ...

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead ...

Kemper

Data Science Manager

Boston, MA · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA · On-site

$106K - $132K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of hands-on experience in developing and deploying optimization solutions * 5+ years' experience in ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsData Science Jobs in Somerville, MA

Data Science information

See Somerville, MA salary details

$40.9K

$133.9K

$214.4K

How much do data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science in Somerville, MA is $133,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $148,400.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Somerville, MA? The most popular types of Data Science jobs in Somerville, MA are:
What are popular job titles related to Data Science jobs in Somerville, MA? For Data Science jobs in Somerville, MA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Somerville, MA look for? The top searched job categories for Data Science jobs in Somerville, MA are:
What cities near Somerville, MA are hiring for Data Science jobs? Cities near Somerville, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Somerville, MA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $133,943 per year, or $64.4 per hour.

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.

#J-18808-Ljbffr

Apply