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Data Science Pharma Jobs (NOW HIRING)

Lead complex data science initiatives across audience decisioning, marketing decision science, pharma direct measurement, and employer direct analytics, driving measurable business impact. * Derive ...

Lead complex data science initiatives across audience decisioning, marketing decision science, pharma direct measurement, and employer direct analytics, driving measurable business impact. * Derive ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by ... About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ...

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

AWS Data Engineer Work Location: Alameda CA Duration: Contract to hire or FTE Experience: 10 to max ... Life Science Pharma & Commercial Operations Domain Knowledge is must Expierence Range 8-12 Years ...

AWS Data Engineer Lead

Alameda, CA · On-site

$132K - $159K/yr

... Science Pharma & Commercial Operations Domain Knowledge is must Preferred : • AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect preferred. Company : Syntricate ...

SUMMARY We are looking for a versatile Director, AI & Data Science to join our growing Data Science ... biotech, pharma, or healthcare * Proficient in Python and/or R * Hands-on experience with LLMs ...

Job Summary Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a ...

SUMMARY We are looking for a versatile Director, AI & Data Science to join our growing Data Science ... biotech, pharma, or healthcare * Proficient in Python and/or R * Hands-on experience with LLMs ...

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Data Science Pharma information

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$37.5K

$122.7K

$196.5K

How much do data science pharma jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data science pharma in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is data science in the pharmaceutical industry?

Data science in the pharmaceutical industry involves using advanced analytics, machine learning, and statistical methods to analyze complex data sets related to drug discovery, clinical trials, and patient outcomes. Data scientists in pharma help accelerate drug development, optimize clinical study designs, and identify new therapeutic targets by extracting meaningful insights from large volumes of biological and medical data. Their work improves decision-making, reduces costs, and ultimately leads to more effective treatments for patients.

How does a data scientist in the pharmaceutical industry typically collaborate with cross-functional teams during drug development projects?

Data scientists in pharma regularly work alongside clinical researchers, biostatisticians, regulatory specialists, and product managers to analyze complex datasets from clinical trials and real-world evidence. They translate data-driven insights into actionable recommendations that guide decision-making throughout the drug development pipeline. Effective communication and teamwork are essential, as data scientists must both understand scientific objectives and explain analytical findings to colleagues from diverse backgrounds. This collaborative environment fosters innovation and ensures that data-driven approaches contribute meaningfully to advancing new therapies.

What are the key skills and qualifications needed to thrive as a data scientist in the pharmaceutical industry, and why are they important?

To thrive as a Data Scientist in pharma, you need a strong background in statistics, machine learning, and domain knowledge in biology or chemistry, usually backed by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, and experience with clinical trial data systems or bioinformatics platforms is commonly required. Strong analytical thinking, collaboration, and the ability to communicate complex data insights to multidisciplinary teams are vital soft skills. These capabilities are crucial for extracting meaningful insights from complex biomedical data, supporting evidence-based decision-making, and driving innovation in drug development.

What is the difference between Data Science Pharma vs Data Analyst Pharma?

AspectData Science PharmaData Analyst Pharma
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; knowledge of programming languages like Python or RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentDeveloping predictive models, machine learning, advanced analytics in pharmaceutical R&D and marketingData reporting, visualization, and basic analysis to support decision-making in pharma companies
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare analytics providersPharmaceutical companies, healthcare organizations, research institutions

Data Science Pharma professionals focus on advanced analytics, machine learning, and predictive modeling to drive innovation in pharma. Data Analysts Pharma handle data reporting and basic analysis to support operational decisions. Both roles are essential but differ in complexity and technical requirements.

More about Data Science Pharma jobs

What cities are hiring for Data Science Pharma jobs?

Cities with the most Data Science Pharma job openings:

What states have the most Data Science Pharma jobs?

States with the most job openings for Data Science Pharma jobs include:

What are popular job titles for Data Science Pharma?

Popular job titles for Data Science Pharma:

Infographic showing various Data Science Pharma job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Account Executive (Life Science/Pharma)

Indiana, PA • On-site

Other

Posted 13 days ago


Job description

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward – not backwards – you’ll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

As the Sales Account Executive, you will engage with prospects to win business from large companies in the Life Sciences/Pharma verticals. You will help customers achieve improved business results through their adoption of Cognite Data Fusion to accelerate their digital transformations.

  • Achieve bookings targets while developing satisfied and reference-able customers
  • Develop and execute a territory strategy to drive bookings growth and win new customers
  • Through active prospecting and your personal network of contacts, generate new pipeline and provide “commercial insights” to prospective clients on how Cognite’s solutions will address the most important areas of their value chain
  • Manage complex sales cycles and lead your extended territory team (pre‑sales and other key functions) to delight your prospects and customers
  • Utilize value‑selling processes alongside demonstrating a wealth of knowledge of Cognite’s solutions and how they impact our customer’s value realization
  • Negotiate favorable pricing and business terms with large enterprises by selling value and ROI
  • Develop a commanding knowledge of Cognite’s solutions and how they uniquely drive value realization with your customers
  • Accurately forecast monthly and quarterly results
  • Update salesforce.com on a regular basis
  • Provide timely and insightful input back to other corporate functions, particularly product management and marketing
  • Present and demonstrate our solutions in‑person and via web‑based presentations
  • Approximately 50% travel on client site and to our European offices
  • Develop a commanding knowledge of Cognite’s solutions and how they uniquely drive value realization with your customers
The Impact you bring to Cognite
  • Detail oriented, high‑energy sales professional with strong relationship‑building skills and a focus on delighting customers in every phase of our engagements
  • Proven experience selling at C‑Level both in business and IT
  • Specific experience in selling SaaS solutions, cloud deployments and subscription pricing model, commanding a deep understanding of software sales processes and terminology including ARR, NRR, TCV and Services Bookings
  • Self‑starter, able to work in a team environment, and superb time management and prioritization skills
  • Has demonstrated a dedication to driving standardization to sales processes to ensure consistent and scalable results
  • Committed to value based selling and is savvy at helping customers create business cases with quantified ROI to justify new investments
  • Can explain the respective value chains for process and discrete manufacturing - including the key economic drivers; the business, people, and technical inter‑dependencies; the digitalization opportunity with Industry 4.0
  • Well‑versed in important manufacturing use cases, such as yield optimization, production visibility, higher operator productivity, quality improvement, predictive maintenance, and higher machine utilization
  • Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning
Required Qualifications and Preferred Experiences
  • 3+ years successful Software Sales Experience into Life Sciences/Pharma companies is required (Pharma, Bio‑Pharma and Contract Manufacturing, Medical Devices and Medical Products)
  • 3+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software‑as‑a‑service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning/Automation/Operational Technology) to C‑level executives
  • Previous training in Command of the Message, MEDDPICC and Salesforce is a plus, but not a requirement.
  • Minimum Bachelor’s degree. A relevant Master’s degree is preferred.
  • We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

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