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Data Science Pharma Jobs (NOW HIRING)

Waters Corporation

Senior Scientist Pharma

Milford, MA · On-site +1

$100K - $137K/yr

Overview The Senior Scientist - Pharma helps provides scientific leadership across the Pharma ... Ensures scientific rigor, robustness, and reproducibility of data generated across the program.

Norstella

Senior Data Scientist

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 ...

ZS

Advanced Data Science Manager

Princeton, NJ · On-site

$215K - $255K/yr

What you'll do: Advanced Data Science Manager in AI will... * Lead and mentor a team of data ... Relevant domain knowledge preferred; (healthcare, pharma); * Excellent oral and written ...

Waters Corporation

Senior Scientist Pharma

Milford, MA · On-site

$100K - $137K/yr

Ensures scientific rigor, robustness, and reproducibility of data generated across the program ... Strong understanding of pharma market drivers, regulatory expectations, and emerging modalities (e ...

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$37.5K

$122.7K

$196.5K

How much do data science pharma jobs pay per year?

As of Jun 8, 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.

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.

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.
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 job categories do people searching Data Science Pharma jobs look for? The top searched job categories for Data Science Pharma jobs are:
Data Science Pharma jobs near you
Infographic showing various Data Science Pharma job openings in the United States as of May 2026, with employment types broken down into 10% Full Time, and 90% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Scientist Pharma

Senior Scientist Pharma

Waters Corporation

Milford, MA • On-site, Remote

$100K - $137K/yr

Other

Posted 24 days ago

Job description

Overview
The Senior Scientist - Pharma helps provides scientific leadership across the Pharma Program within the LCMS business segment. This role shapes analytical strategy, leads complex experimental initiatives, and delivers high-impact scientific outputs that support Waters' growth objectives and new product development priorities.
As a recognized technical expert, the Senior Scientist applies deep expertise in small and large molecule bioanalysis to develop differentiated, customer-relevant LCMS workflows that address evolving pharmaceutical modalities, regulatory expectations, and laboratory needs.
Responsibilities
Key Responsibilities
Scientific Leadership & Innovation
  • Acts as a senior technical authority, leading complex scientific workstreams across multiple initiatives with minimal guidance.
  • Defines experimental strategy and independently designs, executes, and interprets advanced LCMS studies.
  • Ensures scientific rigor, robustness, and reproducibility of data generated across the program.
  • Evaluates emerging technologies, new modalities, and regulatory developments to guide workflow innovation and technical direction.
  • Identifies scientific gaps and proposes novel methodologies that enable differentiated product and workflow positioning.

Cross-Functional Influence & Mentorship
  • Serves as a key scientific partner to Product Management, R&D, and Marketing in defining pharma-relevant product requirements.
  • Represents the scientific perspective in cross-functional planning, ensuring customer workflows are accurately translated into development priorities.
  • Helps mento and coach scientists at earlier career stages, contributing to capability development and scientific standards across the team.
  • Builds strong relationships across the organization to enable effective collaboration and program success.

External Engagement & Thought Leadership
  • Authors and leads the development of high-quality scientific content including application notes, workflow documents, white papers, and technical presentations.
  • Engages directly with key customers, collaborators, and thought leaders through technical discussions, workshops, and joint evaluations.
  • Represents Waters at conferences, webinars, and technical forums, communicating scientific value, innovation, and emerging insights.
  • Contributes to Waters' external scientific reputation through visible, credible technical leadership.

Program & Project Execution
  • Manages scientific activities across multiple concurrent projects, balancing priorities and ensuring timely, high-quality delivery.
  • Provides data-driven recommendations that influence program strategy, product decisions, and investment priorities.
  • Ensures alignment of scientific work with relevant regulatory expectations for pharmaceutical bioanalysis.
  • Supports evaluation, verification, and validation of new product features against real-world pharma laboratory requirements.

Qualifications
Qualifications
  • PhD in life sciences, chemical sciences, physical sciences, or a related discipline strongly preferred; or BSc or MSc with significant relevant experience considered.

Experience
  • Typically 3+ years of applied LCMS experience in the pharmaceutical industry or a closely related field.
  • Demonstrated expertise in both small and large molecule bioanalysis across discovery, development, and/or regulated environments.
  • Strong understanding of pharma market drivers, regulatory expectations, and emerging modalities (e.g., Protacs, peptides, oligonucleotides, ADCs).
  • Proven track record of scientific authorship, workflow development, and customer-facing technical contributions.
  • Experience with complementary bioanalytical techniques (e.g., flow cytometry) is desirable.

Skills & Capabilities
  • Advanced scientific communication and influencing skills, with the ability to tailor messages for technical, commercial, and customer audiences.
  • Strong cross-functional collaboration skills and credibility with internal and external stakeholders.
  • Strategic scientific thinker with high curiosity and ability to translate insight into actionable direction.
  • Excellent planning, prioritization, and execution skills across complex, multi-project environments.
  • Analytical mindset with advanced problem-solving and experimental design capability.
  • Effective contributor within globally distributed and cross-cultural teams.
  • Fluent in English; additional languages are an advantage

Travel Requirement:
  • Willingness to travel up to 20% of the time for customer visits, industry events, and team meetings.

Reporting Line:
  • Reports directly to the Pharma Program lead within the LCMS Business Segment in the Analytical Sciences Division

Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

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