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Weekend Optum Data Science Jobs in Massachusetts

THE KRAFT GROUP

Soccer Data Analyst

Foxboro, MA · On-site

$58K - $68K/yr

Develop, maintain, document, and optimize analytical code, data pipelines, and data science ... Ability to work evenings, weekends, and travel as required by match and organizational schedules.

Optum - Auburn

Gastroenterology - General

Auburn, MA · On-site

$399K/yr

At Optum, you'll have the clinical resources, data and support of a global organization behind you ... Call 8 weekends a year and 1 day during the week * Excellent support staff and dedicated practice ...

Optum - Worcester

Hospitalist - Internal Medicine

Worcester, MA · On-site

$124.50 - $164.50/hr

At Optum, you'll have the clinical resources, data and support of a global organization behind you ... Weekend admitting shifts 1:00 PM- 9:00 PM with AP support. Shifts to be scheduled upon mutual ...

Syneos Health

HEOR Medical Science Liaison

Boston, MA · On-site

$200 - $220/hr

Communicate clinical and scientific data to KOLs and healthcare professionals through presentations ... Ability to travel up to 60%, overnights and weekends may be required, and possess a valid driver ...

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Infographic showing various Weekend Optum Data Science job openings in Massachusetts as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Director, Commercial Data Analytics - Pharma & Life Sciences

Tiger Analytics, LLC

Boston, MA • On-site

Other

Posted 17 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a highly experienced and strategic leader to drive Commercial Data and Analytics initiatives.

Responsibilities
  • Data Analytics & Strategy: Lead the application of the latest data science techniques and advanced analytics approaches to solve complex business problems in the Pharma and Life Science domain.
  • Stakeholder & Solution Design: Work directly with client stakeholders to translate high-level business problems into detailed, high-level analytics solution designs.
  • Leadership & Execution: Lead strategic efforts in omni-channel analytics, helping the business optimize its marketing, sales, and digital engagements across various touch points in the commercial pharmaceutical sector.
  • Business Intelligence (BI) & Analytics: Lead the design and delivery of advanced analytical and Business Intelligence (BI) products, focusing on metrics design, reporting, and leveraging data best practices to drive informative decisions.
  • Data Management & Engineering (DE): Oversee and guide data architectures, ensuring a strong emphasis on data quality, data integrity, and compliance with commercial data management frameworks.
  • Commercial Expertise: Apply extensive experience in core commercial pharma areas such as omni-channel strategy, customer journey mapping, and marketing effectiveness.
  • Client Engagement: Serve as a key analytics consulting leader, working closely with senior client stakeholders to understand business requirements, design solutions, and drive cross-functional collaboration.
Qualifications
  • 12-16 years of professional work experience with at least 8 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Solid understanding of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams.
  • Fluency and extensive working experience with various pharmaceutical data sources, including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data.
  • Graduate in Business Analytics or MBA or equivalent work experience

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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