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Entry Level Pharmaceutical Data Scientist Jobs (NOW HIRING)

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

asrcfh

Data Scientist

Oklahoma City, OK · On-site

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

asrcfh

Data Scientist

Oklahoma City, OK

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

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Entry Level Pharmaceutical Data Scientist information

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$122.7K

$196.5K

How much do entry level pharmaceutical data scientist jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level pharmaceutical data scientist 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 are the key skills and qualifications needed to thrive as an Entry Level Pharmaceutical Data Scientist, and why are they important?

To thrive as an Entry Level Pharmaceutical Data Scientist, you need a strong background in statistics, data analysis, and life sciences, typically supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools, and experience with pharmaceutical databases or clinical trial data are essential. Attention to detail, problem-solving abilities, and strong communication skills help you interpret results and collaborate with multidisciplinary teams. These skills are crucial for extracting meaningful insights from complex datasets and supporting evidence-based decisions in pharmaceutical research and development.

What is an Entry Level Pharmaceutical Data Scientist?

An Entry Level Pharmaceutical Data Scientist is a professional who analyzes and interprets complex data related to pharmaceuticals, including drug development, clinical trials, and patient outcomes. They use statistical methods and machine learning tools to extract insights that help improve drug efficacy, safety, and development processes. Typically, they work under the guidance of senior data scientists and collaborate with researchers, clinicians, and regulatory teams. This role is ideal for recent graduates with a background in data science, statistics, biology, or related fields who are interested in the pharmaceutical industry.

What are some typical projects an Entry Level Pharmaceutical Data Scientist might work on, and how do they contribute to the team?

As an Entry Level Pharmaceutical Data Scientist, you might be involved in analyzing clinical trial data, developing predictive models for drug efficacy, or cleaning and organizing large datasets from laboratory experiments. Your work supports senior scientists and cross-functional teams by providing insights that inform drug development decisions and regulatory submissions. Collaboration with statisticians, clinical researchers, and IT specialists is common, offering valuable opportunities to learn about the broader pharmaceutical development process and build technical as well as communication skills.

What is the difference between Entry Level Pharmaceutical Data Scientist vs Pharmaceutical Data Analyst?

AspectEntry Level Pharmaceutical Data ScientistPharmaceutical Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer internshipsBachelor's in Data, Statistics, or Life Sciences; often entry-level
Work EnvironmentResearch labs, pharmaceutical companies, biotech firms; focus on data modeling and analysisClinical settings, research teams, or business units; focus on data interpretation and reporting
Employer & Industry UsageUsed in R&D, drug development, and clinical trials within pharma industryApplied in clinical data management, market analysis, and regulatory reporting

Both roles involve data analysis within the pharmaceutical industry, but the Pharmaceutical Data Scientist typically focuses on advanced modeling and machine learning, while the Pharmaceutical Data Analyst emphasizes data interpretation and reporting. Entry Level Pharmaceutical Data Scientists often require stronger technical skills in programming and statistics, whereas Data Analysts may focus more on data management and visualization.

More about Entry Level Pharmaceutical Data Scientist jobs
What cities are hiring for Entry Level Pharmaceutical Data Scientist jobs? Cities with the most Entry Level Pharmaceutical Data Scientist job openings:
What are the most commonly searched types of Pharmaceutical Data Scientist jobs? The most popular types of Pharmaceutical Data Scientist jobs are:
What states have the most Entry Level Pharmaceutical Data Scientist jobs? States with the most job openings for Entry Level Pharmaceutical Data Scientist jobs include:
What job categories do people searching Entry Level Pharmaceutical Data Scientist jobs look for? The top searched job categories for Entry Level Pharmaceutical Data Scientist jobs are:
Entry Level Pharmaceutical Data Scientist jobs near you
Infographic showing various Entry Level Pharmaceutical Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Re-posted 13 days ago

Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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