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Biotech Quantitative Research Jobs (NOW HIRING)

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 ...

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 ...

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Biotech Quantitative Research information

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$81.5K

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$128K

How much do biotech quantitative research jobs pay per year?

As of Jun 15, 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.
What cities are hiring for Biotech Quantitative Research jobs? Cities with the most Biotech Quantitative Research job openings:
What states have the most Biotech Quantitative Research jobs? States with the most job openings for Biotech Quantitative Research jobs include:
What job categories do people searching Biotech Quantitative Research jobs look for? The top searched job categories for Biotech Quantitative Research jobs are:
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 50% In-person, and 50% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Senior Scientist - Quantitative Genetics

Merck Group

Billerica, MA • On-site

$94K - $144K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

Job description

Work Your Magic with us! Start your next chapter and join EMD Serono.
Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.
Your Role:
EMD Serono in Billerica, MA, is adding a Senior Scientist - Quantitative Genetics to their team. In this role you will employ human quantitative genetics to advance programs at all pipeline stages (target identification, target validation/assessment, safety de-risking, patient selection, indication selection and expansion, biomarker selection, in-licensing due diligence) in our neurology and immunology portfolio. You will work with other quantitative scientists as well as biologists, disease experts, and clinicians to deliver results that support program decision making.
To increase the impact of genetics on our pipeline, you will:
  • Collaborate with other data scientists in drug discovery/development program teams to ensure that the right questions are asked and answered. You will play a key role in performing analyses and explaining the results to other scientists.
  • Ensure we use the right human genetics methods at the right time.
  • Perform genetic safety assessments for pipeline targets, including loss-of-function carrier phenotyping, phenome-wide association analysis, and Mendelian randomization to anticipate mechanism-based adverse events and on-target toxicity.
  • Provide rapid genetic due diligence for in-licensing and business development targets (20-25 per year), assessing target-disease association, genetic safety signals, direction of effect, and competitive positioning.
  • Integrate genetic evidence with multi-omic data (proteomics, transcriptomics, eQTL/pQTL) for systems-level target validation and mechanism-of-action confirmation.
  • Support pharmacogenomic analyses for dose optimization, PK/PD modeling, and patient stratification strategies to enhance clinical trial design.
  • Automate genetics tools and reporting to support both quantitative experts and disease biologists. Focus on quick turnaround settings such as early target screening, search/in-licensing, and safety assessment. Integration with our agentic AI platform for scalable genetic reviews.
  • Work with engineering teams to develop interactive dashboards and visualizations to communicate genetic evidence to project teams, leadership, and due diligence committees.
  • Educate scientists across the R&D organization on the available methods and possibilities from human genetics.

Who You Are:
Minimum Qualifications:
  • PhD in Statistical Genetics, Computational Biology, Human Genetics, or other quantitative research discipline
  • 2+ years of experience post PhD in pharma, biotech, or academic research setting
  • 2+ years of experience in quantitative/computational genetics including hands-on implementation across a range of methods and technologies
  • 2+ years of experience with human genetics methods, including GWAS and downstream analyses (e.g., fine-mapping, enrichment, colocalization, eQTL/pQTL mapping, PRSs, Mendelian randomization, direction of effect determination, loss-of-function and gain-of-function analysis) as well as variant interpretation

Preferred Qualifications:
  • Demonstrated experience applying computational genetics to complex disease, with relevance to neurology and/or immunology
  • Strong quantitative and programming skills (e.g., Python and R in Unix/HPC environments, including biobank trusted research environments)
  • Proven ability to translate genetic analyses into clear, actionable recommendations for scientific and portfolio decisions
  • Experience with large scale biobank datasets such as the UK Biobank and All of Us as well as familiarity with disease-specific and multi-ethnic cohorts
  • Experience applying machine learning and AI methods to genomic and multi-omic datasets.

Pay Range for this position: $94,600 - $144,100
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Apply