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Pharmaceutical Forecasting Jobs (NOW HIRING)

Revolution Medicines

Director, Global Forecasting

This role will also work directly with Regional Forecasting leads to ensure consistency in forecast ... pharmaceutical, biotechnology, or strategic consulting role with 6+ years of experience in a ...

MSD

Assoc. Dir , Strategic Forecasting

Rahway, NJ

Minimum of 5+ years of relevant delivery of complex analytical projectsin the pharmaceutical ... Experience in developing forecast models and/or related analytics (e.g., scenario analysis ...

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Pharmaceutical Forecasting information

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$14

$19

$25

How much do pharmaceutical forecasting jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for pharmaceutical forecasting in the United States is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.88 per hour, depending on experience, location, and employer.

How to become a forecast analyst?

To become a pharmaceutical forecast analyst, candidates typically need a bachelor's degree in fields such as pharmacy, economics, or data analysis. Gaining experience with statistical tools, forecasting models, and industry knowledge is important, and some roles may require advanced degrees or certifications in data analytics or health economics.

What is the difference between Pharmaceutical Forecasting vs Pharmaceutical Data Analyst?

AspectPharmaceutical ForecastingPharmaceutical Data Analyst
Required CredentialsBachelor's degree in pharmacy, economics, or related field; experience in forecasting modelsBachelor's or master's in data science, statistics, or related field; proficiency in data analysis tools
Work EnvironmentPharmaceutical companies, market research firms, consultingPharmaceutical companies, healthcare analytics firms, research institutions
Employer & Industry UsageUsed for sales, production planning, and market strategyUsed for data analysis, reporting, and decision support

Pharmaceutical Forecasting focuses on predicting market trends, sales, and demand for pharmaceutical products, often using specialized forecasting models. In contrast, Pharmaceutical Data Analysts interpret complex data sets to support decision-making across various functions. While both roles require analytical skills, forecasting emphasizes market predictions, whereas data analysis centers on data interpretation and reporting.

What are the key skills and qualifications needed to thrive in Pharmaceutical Forecasting, and why are they important?

To thrive in Pharmaceutical Forecasting, you need strong analytical skills, proficiency in quantitative methods, and a background in life sciences, business, or statistics, often supported by a relevant degree. Familiarity with forecasting tools like Excel, SAS, or specialized pharmaceutical forecasting software, as well as knowledge of data sources such as IMS Health, is typically required. Exceptional attention to detail, communication skills, and the ability to synthesize complex information are valuable soft skills in this field. These competencies enable accurate demand projections, inform strategic decision-making, and support effective resource allocation in the pharmaceutical industry.

Is forecasting a good career?

Pharmaceutical forecasting is a valuable career that involves predicting market trends and demand for medications, supporting strategic decision-making in the industry. It requires strong analytical skills, knowledge of the pharmaceutical sector, and proficiency with data analysis tools. The field offers opportunities for growth and specialization, often with a stable job outlook.

What is the highest paying job in pharmaceuticals?

In pharmaceutical forecasting and related fields, senior executive roles such as Chief Scientific Officer (CSO) or Vice President of Pharmaceutical Development tend to be the highest paying. These positions require extensive industry experience, advanced degrees, and leadership skills, often commanding six-figure salaries and additional bonuses.

What is the role of forecasting in pharma?

In pharmaceutical forecasting, professionals analyze market data, sales trends, and clinical development timelines to predict future demand for drugs and therapies. This helps companies plan production, allocate resources, and make strategic decisions to ensure product availability and regulatory compliance.

What are some common challenges faced in pharmaceutical forecasting, and how can they be addressed?

One of the main challenges in pharmaceutical forecasting is dealing with uncertainty in market dynamics, such as regulatory approvals, competitor launches, and changes in healthcare policies. Additionally, limited historical data for new products or indications can make accurate predictions difficult. To address these challenges, forecasters often collaborate closely with cross-functional teams like marketing, regulatory, and medical affairs, and use advanced analytical tools and scenario planning to account for various market possibilities. Regularly updating forecasts with real-world data and maintaining open communication with stakeholders are key industry practices to improve accuracy.

What is pharmaceutical forecasting?

Pharmaceutical forecasting is the process of predicting future demand, sales, and trends for pharmaceutical products. It involves analyzing historical data, market trends, epidemiology, and regulatory changes to estimate how much of a drug will be needed or sold over a specific period. Accurate forecasting helps pharmaceutical companies manage inventory, production planning, and financial projections. It also supports strategic decision-making in areas like product launches, supply chain management, and resource allocation.
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Pharmaceutical Forecasting jobs near you
Infographic showing various Pharmaceutical Forecasting job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $41,139 per year, or $19.8 per hour.
Senior Director - Commercial Analytics - Life Sciences (1234)

Senior Director - Commercial Analytics - Life Sciences (1234)

Axtria, Inc.

Berkeley Heights, NJ • On-site

$157K - $205K/yr

Full-time

Medical, Retirement

Posted 3 days ago

Job description

Company Overview:

Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.
Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.

Position Overview:

Axtria’s Decision Intelligence team is undergoing a significant transformation, integrating Artificial Intelligence (AI) and Generative AI (GenAI) into our solutions. We are seeking an Advanced Analytics leaders who are not only passionate about data science but also eager to explore the frontiers of AI-driven innovation for the Life Sciences domain. You are expected to have:

  • Hands-on experience with commercially available AI models, frameworks, and tools.
  • Familiarity with AI-powered analytics platforms and prompt engineering.
  • Experience with AI/deep learning models in domains including, but not limited to:
    • Patient analytics
    • Marketing Mix Modeling
    • Pharmaceutical forecasting analytics
    • Commercial Model Design, Sales Force Sizing, and Structuring
    • Promotion Response Modeling, ROI analysis, Go to market strategy and Product Launch/Launch Planning
    • Managed Market Analytics
    • Market Access & Pricing
  • Exposure to GenAI applications in areas including, but not limited to:
    • Market research
    • Forecasting
    • Customer engagement

Mission: Join us in shaping the future of decision science through cutting-edge AI innovation.


Key Responsibilities:

  • Delivery & Client Engagement: Independently manages, builds, and exceeds targets for clients. Acts as peer and partner to Sr level executives in client business with an eye on elevating our services and solutions.
  • Growth Responsibility, P&L and Resource Management 
    • Expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes.
    • Develop and convert pipeline opportunities by aligning client priorities with Axtria’s data & AI offerings. Lead consulting engagements to win new business opportunities in pharma and life sciences. 
    • Monitors practice area P&L including scope, margin, client expectations, timeline, revenue goals & EBITDA while engaging in new and expanded account/client opportunities through high CSAT and repeat business
  • Capability Building & Thought Leadership: Sought out SME that can influence client discussion through real-world successes. Possible publications, whitepapers or other expertise driven items.
  • Team building, ownership & accountability: Possesses relevant leadership philosophy which includes accountability & responsibility for individual and team work. Builds morale, energy & engagement while fostering a learning & growth-oriented team culture. Challenges but in a productive and noncritical manner
  • Business Development: Able to sell across Axtria business segments in a consultative manner. Can identify and proactively propose solutions that address potential opportunities in untapped client business.
  • Communication & Collaboration: Highly skilled in leading client meetings, owning client presentations and establishing Axtria as a valued advisor and partner for Sr Exec and C-level.)
  • Recognized as a problem solver, contributes ideas to enhance solutions independently
  • Customize and deploy Axtria's proprietary analytics to meet client requirements, delivering unparalleled value in every project engagement.
  • Develop and maintain expertise in industry best practices and emerging trends in analytics.
  • Contribute to Axtria's innovation by developing new solutions and analytical models

Required Skills & Experience:

  • Bachelor's degree in Engineering, Computer Science, Operations Research, Industrial Engineering, Economics, Statistics, or related field; advanced degree preferred.
  • Relevant work experience in Commercial/Advanced Analytics within the Life Sciences industry. 
  • Strong consultative and client-facing experience with a commercial mindset. 
  • Experience in RFP development, solution selling, and delivering data & AI applications in life sciences
  • Strong analytical skills with the ability to communicate complex findings effectively to non-technical stakeholders.
  • Proven track record in framing business issues, designing effective solutions, and delivering measurable results.
  • Experience leading projects and teams, with exposure to statistical estimation and optimization techniques.
  • Completed coursework or certifications in Generative AI and agentic AI technologies
  • Familiarity with large datasets and data manipulation techniques.

Location & Logistics:

  • Location: We are open to hire in New Jersey, Philadelphia and Boston region.
  • Head Office: Berkeley Heights, NJ
  • U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
  • Flexibility to travel and/or relocate within the U.S. as per project requirements.

The exact nature of duties, level of role as well as the salary and compensation package will be commensurate with experience and salary history. 
Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance-based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered.

Pay Transparency Laws 
Salary range or hourly pay range for the position 
The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. 
The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. 

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