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Biotech Quantitative Research Jobs (NOW HIRING)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K - $250K/yr

Permanent Quantitative Researcher - Maths / Statistics / Machine Learning Singapore | Relocation ... biotech or another research-led environment * An exceptional undergraduate or Master's graduate ...

RPMGlobal

Research Analyst - Biotech Policy

Alexandria, VA · On-site

$113 - $277/hr

Develop and apply qualitative and quantitative analytical methods to address sponsor questions and ... biotechnology initiatives and policies. * Collaborate effectively within multidisciplinary research ...

New

RPMGlobal

$113 - $277/hr

Develop and apply qualitative and quantitative analytical methods to address sponsor questions and ... biotechnology initiatives and policies. * Collaborate effectively within multidisciplinary research ...

New

Citi

Equity Research Analyst, SMID Biotech

New York, NY · On-site +1

$200K - $300K/yr

... SMID Biotech sector, delivering thought-leading research that shapes how global institutional ... Conduct in-depth quantitative and qualitative analysis to generate innovative investment ...

Tang Capital

Biotechnology Research Analyst

Manhattan, NY

$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 ...

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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 Sep 4, 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 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.

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 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.

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.

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Cities with the most Biotech Quantitative Research job openings:

What states have the most Biotech Quantitative Research jobs?

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What job categories do people searching Biotech Quantitative Research jobs look for?

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Biotech Quantitative Research jobs near you
Infographic showing various Biotech Quantitative Research job openings in the United States as of August 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.

Quantitative Researcher

Anson McCade

Manhattan, NY • On-site

$200K - $250K/yr

Full-time

Re-posted 16 days ago

Job description

$$200,000 - $250,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
Quantitative Researcher - Maths / Statistics / Machine Learning
Singapore | Relocation supported
We are working with a newly established research and technology firm building a next-generation predictive trading platform from the ground up. The firm is being built by a small team with backgrounds across Citadel Securities, Jump Trading and other leading quantitative and technology environments. They are now assembling a highly selective research team to tackle complex prediction problems using a combination of classical statistics and modern machine learning.
Previous experience in finance or trading is not required. In fact, we are particularly interested in speaking with researchers and exceptional graduates currently working outside of financial markets.
The opportunity
  • The research sits at the intersection of mathematics, statistics, machine learning and large-scale computing.
  • The team is exploring predictive problems using approaches spanning statistical modelling and inference through to deep sequence models, reinforcement learning and GPU-scale training.
  • This is a genuinely greenfield environment. There are no legacy research systems or inherited processes - early researchers will have significant freedom to explore ideas and influence both the research agenda and the platform being built around it.
  • The existing team combines significant experience across quantitative research and technology with exceptional academic backgrounds, including International Olympiad medals and top Putnam performances.
Who we're looking for
We're interested in exceptional problem-solvers rather than a particular industry background. Relevant backgrounds could include:
  • Mathematics
  • Statistics / Biostatistics
  • Computer Science
  • Machine Learning / AI
  • Physics
  • Operations Research / Optimisation
  • Computational Science
  • Applied Mathematics
  • Other highly quantitative disciplines
You might be:
  • Completing or recently finished a strong PhD
  • A researcher with a few years' experience in AI, deep-tech, scientific computing, technology, biotech or another research-led environment
  • An exceptional undergraduate or Master's graduate with outstanding academic results
  • An Olympiad / competitive programming candidate with IMO, IOI, IPhO, ICPC, Putnam or comparable achievements
We're looking for evidence of:
  • Exceptional mathematical and statistical problem-solving ability
  • Strong programming skills
  • Intellectual curiosity and an ability to conduct independent research
  • The ability to move between theory, experimentation and implementation
  • An exceptional academic or competitive track record
You do not need to know how financial markets work. The team can teach the domain; the priority is finding people with exceptional raw research ability.
Why consider it?
  • You'll be joining at the very beginning of the build rather than entering an established research organisation.
  • The firm is deliberately building a small, talent-dense team where researchers can take ideas from inception through to implementation without layers of infrastructure or organisational complexity.
  • Researchers will have access to petabyte-scale datasets, GPU-accelerated training and large-scale simulation, with significant resources available to test ambitious ideas.
  • Although trading is the initial application, the longer-term ambition extends beyond trading alone, using the technology, research and team being built to tackle a broader set of problems across AI, finance and technology.

Apply