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Biotech Quantitative Research Jobs (NOW HIRING)

Tang Capital

Biotechnology Research Analyst

Manhattan, NY · On-site

$120K - $210K/yr

Position Summary Tang Capital is seeking an entry-level Biotechnology Research Analyst to join its ... Strong organizational, quantitative, verbal, writing and editing skills with rigorous attention to ...

Servier

Associate Director, Marketing Analytics

Boston, KY · On-site +1

$190K - $218K/yr

... quantitative research. Effectively integrate primary and secondary research resources and ... Manage a Market Research Manager. Must have a Bachelor's in Biotechnology, Marketing, Business ...

Tang Capital

Biotechnology Research Analyst

Manhattan, NY · On-site

$120K - $210K/yr

Position Summary Tang Capital is seeking an entry-level Biotechnology Research Analyst to join its ... Strong organizational, quantitative, verbal, writing and editing skills with rigorous attention to ...

Oppenheimer

Research Associate - Biotechnology

New York, NY · On-site

$100K - $150K/yr

... Biotechnology equity research team. The position is located in New York City. As a Research ... Excellent quantitative and financial modeling skills. Associates are responsible for building and ...

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Biotech Quantitative Research information

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$81.5K

$100.1K

$128K

How much do biotech quantitative research jobs pay per year?

As of Jul 5, 2026, the average yearly pay for biotech quantitative research in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Biotech Quantitative Research vs Biotech Data Analyst?

AspectBiotech Quantitative ResearchBiotech Data Analyst
Required CredentialsAdvanced degrees in quantitative fields, such as biostatistics, mathematics, or computational biologyBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on experimental design and modelingData-focused roles in biotech firms, analyzing datasets to inform business or research decisions
Employer & Industry UsageUsed in R&D for modeling biological processes, drug development, and clinical trial analysisApplied in data management, reporting, and visualization within biotech companies

Biotech Quantitative Researchers primarily focus on developing mathematical models and algorithms to understand biological data, often requiring advanced degrees. Data Analysts interpret and visualize data to support decision-making. While both roles work with data in biotech, Quantitative Researchers are more involved in modeling and research, whereas Data Analysts focus on data processing and reporting.

How does a Biotech Quantitative Researcher typically collaborate with cross-functional teams during a research project?

Biotech Quantitative Researchers frequently work alongside biologists, chemists, data scientists, and clinical teams to integrate complex data and insights. They often translate experimental results into quantitative models, help design experiments, and provide statistical analysis to guide decision-making. Effective communication is key, as they must clearly explain their findings and recommendations to both technical and non-technical stakeholders. This collaborative approach ensures that research outcomes are robust and actionable, often leading to innovative solutions in drug discovery or diagnostics.

What is Biotech Quantitative Research?

Biotech Quantitative Research involves using mathematical, statistical, and computational techniques to analyze data in the biotechnology field. Professionals in this role develop and apply models to interpret biological, chemical, or clinical data, often supporting drug discovery, genomics, or other life science research. Their work helps make sense of complex biological systems, identify trends, and guide decision-making in biotech companies. This role often requires expertise in data science, biology, and programming.

What are the key skills and qualifications needed to thrive as a Biotech Quantitative Researcher, and why are they important?

To thrive as a Biotech Quantitative Researcher, you need a strong foundation in statistics, data analysis, and life sciences, typically supported by an advanced degree in biology, bioinformatics, or a related field. Proficiency with data analysis tools such as R, Python, MATLAB, and bioinformatics platforms, as well as familiarity with laboratory information management systems (LIMS), is essential. Strong problem-solving abilities, critical thinking, and effective communication skills help researchers interpret complex data and collaborate across multidisciplinary teams. These skills are vital for generating meaningful biological insights, driving innovation, and supporting evidence-based decision-making in biotechnology.
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Biotech Quantitative Research jobs near you
Infographic showing various Biotech Quantitative Research job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,127 per year, or $48.1 per hour.
Senior Director Quant Pharm

Senior Director Quant Pharm

Penfield Search Partners

Princeton, NJ • On-site

Other

Posted 8 days ago

Job description

Job Description Senior Director, Quantitative Pharmacology Our client is seeking a director/senior director to head the Quantitative Pharmacology group within its Translational Medicine group in Princeton, NJ. The incumbent will report into the Vice President of Preclinical Development and Translational Medicine. The Quantitative Pharmacology group is responsible for the oversight over drug development aspects related to clinical pharmacology and pharmacometrics of clinical development candidates, working in close collaboration with nonclinical and clinical functional areas.

This team works with all therapeutic areas within their Development Division. They are seeking a highly qualified individual to lead the group. Candidates must have a strong background in quantitative drug development and a desire to work collaboratively across different functional areas, as well as with external vendors and partners.

Success depends on the integrity, knowledge, imagination, creativity, skill, diversity and teamwork of the people in the group. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of the global team, you will collaborate with talented and dedicated colleagues across the Development Division while developing and expanding your career.

Primary Responsibilities: Key member of a product development team, contributing to the advancement of novel chemical entities bringing a quantitative perspective into strategic development to support continued investment Provide insight and leadership on pharmacokinetic aspects of clinical trials and programs and its application in development strategy Drive the implementation of pharmacometric principles and practices Development and execution of model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial design simulations, and quantitative systems pharmacology (QSP) modeling Provide pharmacometric support for programs through the worldwide marketing application filing including supportive registration documents and presentations Provide clear, timely communication and interpretation of study results to functional area experts and governance/senior management Contribute to assessment of internal and external opportunities Interface broadly with key functions including discovery sciences, preclinical development groups, toxicology, clinical operations, drug metabolism, regulatory affairs, and late-stage clinical research Mentoring and/or supervision of junior staff to perform above duties and support career development Qualifications: 5+ years of postdoctoral experience in quantitative pharmacology/pharmacometrics in the biotech and/or pharmaceutical industry Prior experience in the development and application of quantitative methods in drug development Strong background in population PK modeling, exposure response modeling and analysis, and developing statistical and mechanistic models for drug development Proven track record in clinical research and background in biomedical research Demonstrated record of scientific scholarship and achievement, willingness to work collaboratively across different therapeutic areas. Strong interpersonal, writing and presentation skills, as well as the ability to function in a team environment are essential Education: PhD in a quantitative science (e.g., statistics, mathematics, engineering, physics, computer science)

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