What Data Scientists Jobs are in Boston?

We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?

About the Role

As a Senior Clinical Informatics Data Scientist, you will be a core member of a team of data scientists and engineers building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will develop solutions and execute complex initiatives that leverage real-world data (e.g., electronic medical records, biomedical imaging, time-series data, surveys/questionnaires, and text notes) to address challenging computational problems alongside partner scientists in epidemiology, statistical genetics, computational biology, and machine learning. Successful candidates will work with a diverse set of scientists, and domain experts in ways that cut across traditional industry boundaries in an innovative startup environment.

What You’ll Do…

• Develop clinical concepts, medical code mappings, and data dictionaries for real-world data types. Maintain data dictionaries used by partner teams and external clients to facilitate high-quality data analysis.
• Define and implement data harmonization standards and curation strategies for real-world patient data products, including data mapping, cleaning and automating ETL pipelines across various data sources.
• Lead the development and maintenance of user-driven tools/packages to generalize data processes and automate data transformation in real-world data studies and machine learning projects. Seek out opportunities to improve these tools/packages from user feedback.
• Collaborate with pre-clinical data science and clinical teams to define data requirements, reconciling research needs with real-world data collection practices and utilization.
• Contribute to writing reports and presentations to non-technical internal audiences and external clients.
• Work in an agile manner to create high-quality, analysis-ready data sets and products to be used across the organization.
• Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces. Time is limited, you’ll need to prioritize which problems are critical-path today from those that can wait.
• Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues.

What You Bring.

• Bachelor’s with 5+ years or MS / PhD with 1+ years in a medically-related field with a quantitative focus (public health, health economics, biostatistics) or in in a quantitative field (computer science, statistics, computational biology, biomedical engineering).
• Must have 3+ years of experience working with real world data, clinical trial data and/or preclinical data. Practical experience in data cleaning, filtering, and harmonizing real world patient data, and conducting quality and capability evaluations.
• Must have experience developing and maintaining healthcare data dictionaries for patient data.
• Knowledge of medical coding ontologies and data models for real-world data types in US and globally (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, etc).
• Fluency in Python (required) and relevant data science packages (e.g. pandas). Experience in R and SQL a plus.
• Familiarity and/or experience with Spark (pyspark) including performance optimization through query techniques, data storage techniques, or configuration tuning.
• Familiarity and/or experience with cloud computing (AWS), Linux environments, and shell scripting.
• Familiarity and/or experience with SQL connectors (e.g. Snowflake), and unstructured/text analysis (e.g. regular expressions, NLTK, spaCy/medspaCy) a plus.
• Familiarity and/or experience with designing python libraries or packages in other languages is a plus.
• Familiarity and/or experience in common clinical practices, human physiology, or epidemiology of cardiovascular, metabolic, and renal disease areas is a plus.
• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus.

More on Valo

Valo Health, Inc (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative disease. Founded by Flagship Pioneering and headquartered in Boston, MA, Valo also has offices in Lexington, MA, and New York. To learn more, visit

Republic Services is seeking a Sr. Data Engineer / Data Modeler in Phoenix, AZ. This hands-on role focuses on full-stack development, contributing to big data and analytics initiatives. Responsibilities include designing and implementing data architectures and models, optimizing performance in data processing, and managing data ingestion pipelines.

The ideal candidate will have extensive experience in data engineering, AWS services, and data modeling tools. The position is primarily remote, requiring occasional in-person attendance in Phoenix.

Who are we?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history.

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.

The successful candidate will be responsible for identifying and applying cutting‑edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man‑made risks such as cyber, casualty, among others. In addition, you will conduct in‑depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account‑specific risk analyses, and develop internal tools to facilitate account underwriting decision‑making and other related activities.

• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field.
• 3–6 years of industry experience is preferred and required for the Senior Data Scientist level role.
• Advanced knowledge of probability theory, statistics, and machine learning methods is required.
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred.
• Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data.
• Familiarity with large language models (LLMs), retrieval‑augmented generation (RAG), and their application in data‑driven workflows is a plus.
• Strong written and verbal communication skills.
• Strong programming skills in Python (preferred), R, and SQL.
• Experience and understanding of relational and non‑relational databases preferred.
• Comfort working within git‑based version‑control environments.
• Experience with Databricks or other cloud‑based data and analytics platforms preferred.
• Highly motivated, detail‑oriented, and team player.

• A competitive package and exciting growth opportunities for career‑oriented teammates.
• A dynamic, action‑oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
• A purposely non‑bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
• Benefits that support your life and well‑being, which include:
  • Comprehensive Health, Dental, and Vision benefits
  • Disability Insurance (both short‑term and long‑term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all‑inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Data Scientist

Location: Boston, MA

Duration: 12+ Months

The key is just Healthcare industry as a Data Scientist doing Statistical modeling.

Responsibilities

• Someone with both statistical modeling experience and technical, engineering skills.
• Experienced in Healthcare, and decidedly “hands‑on” and not just theoretical.
• Experience or proficiency using statistical modeling tools (e.g. R, Matlab, AML etc.).
• Use analytics to drive key success metrics.
• Proven mastery of analysis and development of models in the Healthcare industry.

Qualifications

• Relevant degree or deep experience in data analysis or Computer Science.
• Minimum five to seven years professional experience.
• BS Degree.

Personal Attributes and Characteristics

• Flexible and resourceful, with a figure‑it‑out‑and‑get‑it‑done mentality; not afraid to make mistakes quickly and course‑correct.
• Exemplary written and oral skills. Comfortable presenting at the CxO level.

All your information will be kept confidential according to EEO guidelines.