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Data Science Manager

Job in Cherry Hill, Camden County, New Jersey, 08358, USA
Listing for: MathCo
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Years of

Experience:

7+ years of experience in pharma consulting, strategy & analytics

Location: Central NJ (In-person)

About Us

The Math Company  or Math Co® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, Math Co builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, Math Co’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).

At Math Co, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark'.

Job Description

We are looking for a Data Science Consultant with strong expertise in the Pharmaceutical domain
, specifically in Respiratory / COPD (Chronic Obstructive Pulmonary Disease). This role focuses on driving data-driven insights, stakeholder engagement, and translating business problems into analytics solutions
, rather than deep hands-on model development.

The ideal candidate will act as a bridge between business stakeholders and analytics teams
, guiding analytical approaches and delivering actionable insights across COPD-related use cases
. This role requires strong domain understanding, consulting capabilities, and storytelling skills to influence business decisions.

  • Partner with client stakeholders to understand business challenges in the COPD / respiratory therapeutic area and translate them into structured analytical approaches.
  • Define and guide analytics use cases such as patient journey analysis, treatment pathways, adherence, disease progression, and market access insights for COPD.
  • Collaborate with data science and engineering teams to drive solution development and ensure alignment with business objectives
    .
  • Interpret analytical outputs and translate them into clear, actionable insights and strategic recommendations
    .
  • Present insights to senior stakeholders
    , enabling data-driven decision-making.
  • Ensure analytics solutions are aligned with clinical and commercial aspects of COPD management
    .
  • Drive client engagement, requirement gathering, and solution discussions in a consulting setup.
  • Contribute to problem structuring, solution design, and delivery oversight
    .

Skills Required

Consulting & Business Skills (Primary Focus)

  • Strong consulting mindset with the ability to translate business problems into analytics solutions.
  • Excellent stakeholder management and communication skills in client-facing environments.
  • Strong storytelling and presentation skills to communicate insights to senior leadership.
  • Ability to work in cross-functional teams and navigate ambiguity.
  • Strong experience in the pharmaceutical or life sciences industry
    , with exposure to respiratory diseases, specifically COPD
    .
  • Understanding of COPD disease area
    , including:
  • Patient journey (diagnosis, treatment, adherence)
  • Disease progression and management
  • Treatment options and therapy landscape
  • Familiarity with commercial analytics, patient analytics, or market access use cases in COPD.
  • Experience working with pharma datasets such as claims, EMR/EHR, Rx, and market access datasets (IQVIA, Symphony, etc.).

Technical Understanding (Nice to Have)

  • Basic understanding of data science and analytics concepts
    .
  • Familiarity with tools such as Python, SQL, or visualization tools is a plus (not mandatory).
  • Ability to collaborate with technical teams and guide solution development without deep coding involvement.

Education / Qualification

  • Bachelor’s or Master’s in Data Science, Life Sciences, Public Health, Business, or a related field.
  • Proven track record of managing client engagements and leading teams.
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