ZipRecruiter

Log In

1

Data Science Jobs in Lexington, MA (NOW HIRING)

Merck & Co., Inc.

Director, Oncology Data Science

Boston, MA · On-site

$194K - $305K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Data Scientist to join our multi-modal biomarker discovery team. We are ...

Merck & Co., Inc.

Director, Oncology Data Science

Boston, MA · On-site

$194K - $305K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Chubb

SVP, PRS - Data Science

Boston, MA

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 ...

Ipsen

Head of Applied AI & Data Science

Cambridge, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Title: Head of Applied AI & Data Science Company: Ipsen Bioscience, Inc. About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three ...

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 ...

Replimune

Associate Director, CMC Data Science

Framingham, MA · On-site

$160K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Summary of The Associate Director of CMC Data Science will work with cross-functional teams while applying the appropriate science-based techniques to: * support / creation of cGMP process monitoring ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Jobs in Lexington, MA

Data Science information

See Lexington, MA salary details

$42.1K

$137.9K

$220.8K

How much do data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science in Lexington, MA is $137,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $152,800.00 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 Lexington, MA?

The most popular types of Data Science jobs in Lexington, MA are:

What are popular job titles related to Data Science jobs in Lexington, MA?

For Data Science jobs in Lexington, MA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Lexington, MA look for?

The top searched job categories for Data Science jobs in Lexington, MA are:

What cities near Lexington, MA are hiring for Data Science jobs?

Cities near Lexington, MA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Lexington, MA as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $137,902 per year, or $66.3 per hour.

Associate Director, Data Science

Rhythm Pharmaceuticals

Boston, MA • On-site

$64K - $64K/yr

Full-time

Re-posted 4 days ago

Job description

Company Overview
Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together.
Opportunity Overview
We are seeking a highly motivated Associate Director of Data Science within Rhythm's Research group and the Data Sciences Team in support of our clinical, regulatory, and scientific objectives in the rare neuroendocrine/obesity/metabolic disease. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for implementing advanced AI data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic areas. A core focus of this position will be the development and implementation of algorithmic phenotyping approaches using electronic medical records (EMR) and real-world datasets, enabling robust patient stratification, cohort definition, and integration with genomics and biomarker data. This position is ideal for a technically strong investigator who thrives in a fast-paced environment and is motivated to apply and scale high-impact data science infrastructure alongside a growing team.
Responsibilities and Duties
  • Design and deploy AI-driven, agent-based phenotyping pipelines that leverage EMR/EHR and real-world data to define disease cohorts, endpoints, and longitudinal outcomes.
  • Develop scalable approaches for cohort identification, feature extraction, and phenotype validation, including rule-based and machine learning methods.
  • Maintain high-throughput rare variant curation and classification models.
  • Execute the design, development, and deployment of data analysis pipelines, statistical models, and predictive tools to support Genetics-led programs.
  • Lead hands-on integration of clinical, EMR, genomics, and biomarker datasets, enabling multi-modal analyses.
  • Build and maintain reproducible workflows for data ingestion, harmonization (e.g., coding systems, ontologies), QC, and analysis (SQL, Python, R).
  • Apply statistical genetics and advanced analytics to link phenotypic definitions with genetic signals, including rare variant analyses.
  • Drive improvements in data infrastructure and phenotyping frameworks to support team expansion and increased dataset complexity.

Qualifications and Skills
  • Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.
  • ~5+ years of relevant experience in biotechnology, pharmaceuticals, or healthcare analytics.
  • Experience with neuroendocrine, obesity/metabolic-related biology and datasets.
  • Experience applying machine learning and AI models to real-world and clinical datasets, including model development, evaluation, and deployment in production or near-production settings.
  • Experience developing or utilizing AI-driven agents/workflows to automate data extraction, phenotyping, analysis, or knowledge generation tasks.
  • Strong hands-on expertise in SQL, Python, and R, with experience building production-quality data pipelines.
  • Experience with cloud computing and storage environments including AWS, GCP, Snowflake.
  • Demonstrated experience with variant calling pipelines, variant interpretation and ACMG rare variant classification.
  • Demonstrated experience in EMR/EHR and real-world data analysis (e.g., UK Biobank, All of Us) including cohort building and longitudinal data modeling.
  • Proven track record in algorithmic phenotyping, including use of coding systems (ICD, CPT, SNOMED), clinical ontologies, and feature engineering.
  • Familiarity with broader bioinformatics/multi-omics methodologies including RNA-seq, methylation analysis, long-read sequencing would be advantageous.
  • Strong problem-solving skills and ability to operate independently in a fast-paced, execution-focused environment.
  • Excellent communication skills with the ability to clearly present complex analytical outputs to technical stakeholders.

This role can be remote or based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve some travel.
More about Rhythm
We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause. Our team is passionate about expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism.
At Rhythm our core values are:
  • We are committed to advancing scientific understanding to improve patients' lives
  • We are inspired to tackle tough challenges and have the courage to ask bold questions
  • We are eager to learn and adapt
  • We believe collaboration and ownership are foundational for our success
  • We value the unique contribution each individual brings to furthering our mission

Inherent in our core values is the commitment to act ethically and with integrity in all we do.
Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law.
Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts.

Apply