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Biotech Epidemiology Jobs (NOW HIRING)

UCB

RWE Strategy Lead, Developed Brands

Boston, MA · On-site

... Epidemiology, Public Health, Health Economics & Outcomes Research (HEOR), Biostatistics, Life Sciences, or a related discipline. * 8+ years of experience within the pharmaceutical, biotechnology ...

UCB

RWE Strategy Lead, Developed Brands

Boston, MA · On-site

... Epidemiology, Public Health, Health Economics & Outcomes Research (HEOR), Biostatistics, Life Sciences, or a related discipline. * 8+ years of experience within the pharmaceutical, biotechnology ...

LatchBio

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

... biotech industry. Latch is building intelligent, high-performance agents for biological data ... Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and ...

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

... Epidemiology, or a related field. * 3-5 years of clinical biostatistics experience. * Experience supporting clinical studies in the medical device, biotechnology, or pharmaceutical industry.

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

... Epidemiology, or a related field. * 3-5 years of clinical biostatistics experience. * Experience supporting clinical studies in the medical device, biotechnology, or pharmaceutical industry.

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

... Epidemiology, or a related field. * 3-5 years of clinical biostatistics experience. * Experience supporting clinical studies in the medical device, biotechnology, or pharmaceutical industry.

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

... Epidemiology, or a related field. * 3-5 years of clinical biostatistics experience. * Experience supporting clinical studies in the medical device, biotechnology, or pharmaceutical industry.

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Biotech Epidemiology information

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$45K

$85.2K

$133K

How much do biotech epidemiology jobs pay per year?

As of Aug 12, 2026, the average yearly pay for biotech epidemiology in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biotech epidemiologist, and why are they important?

To thrive as a Biotech Epidemiologist, you need a strong background in epidemiology, biostatistics, and molecular biology, typically supported by an advanced degree such as an MPH, MS, or PhD. Familiarity with statistical software (like SAS or R), bioinformatics tools, and laboratory data systems is commonly required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate analysis of public health data, effective disease surveillance, and successful application of biotechnological advancements to improve health outcomes.

What is biotech epidemiology?

Biotech epidemiology is a specialized field that combines biotechnology and epidemiology to study the patterns, causes, and effects of health and disease conditions in populations. Professionals in this field use advanced biotechnological tools and techniques, such as molecular diagnostics and genomic analysis, to investigate outbreaks, track disease progression, and develop targeted interventions. Their work is crucial for understanding the spread of infectious diseases, evaluating public health risks, and contributing to the development of vaccines and treatments. Biotech epidemiologists often collaborate with public health agencies, research institutions, and the biotechnology industry to translate scientific discoveries into actionable health solutions.

What is the difference between Biotech Epidemiology vs Clinical Epidemiology?

AspectBiotech EpidemiologyClinical Epidemiology
Required CredentialsBachelor's or Master's in Epidemiology, Public Health, or related fields; often requires knowledge of biotech productsBachelor's or Master's in Epidemiology, Public Health, or Medicine; often requires clinical research experience
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsHospitals, clinics, research institutions
Employer & Industry UsageBiotech firms, pharmaceutical companies, research organizationsHealthcare providers, academic medical centers, clinical research organizations

Biotech Epidemiology focuses on studying disease patterns related to biotech products and innovations within the biotech industry, often involving product safety and efficacy. Clinical Epidemiology, on the other hand, concentrates on patient-centered research in clinical settings, assessing health outcomes and treatment effectiveness. Both roles require strong epidemiological skills but differ in work environment and application focus.

How does a biotech epidemiologist typically collaborate with cross-functional teams to drive research projects forward?

Biotech Epidemiologists often work closely with multidisciplinary teams, including biostatisticians, laboratory scientists, data analysts, and clinical trial coordinators. Collaboration is key throughout all stages of research, from study design and data collection to interpreting results and publishing findings. Effective communication and project management skills are essential, as you’ll regularly coordinate with team members to align on research goals, troubleshoot methodological challenges, and ensure that timelines and regulatory requirements are met. This collaborative environment also provides valuable opportunities to learn new techniques and expand your expertise within the biotech sector.

Is there a high demand for biotech epidemiologists?

Biotech epidemiologists are in increasing demand due to the growth of biotechnology and public health research, especially in areas like infectious disease, vaccine development, and clinical trials. Employers seek professionals with strong analytical skills, knowledge of epidemiological methods, and experience with data analysis tools, leading to good job prospects in the field.
More about Biotech Epidemiology jobs
What cities are hiring for Biotech Epidemiology jobs? Cities with the most Biotech Epidemiology job openings:
What states have the most Biotech Epidemiology jobs? States with the most job openings for Biotech Epidemiology jobs include:
What job categories do people searching Biotech Epidemiology jobs look for? The top searched job categories for Biotech Epidemiology jobs are:
Biotech Epidemiology jobs near you
Infographic showing various Biotech Epidemiology job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 90% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products

Valo Health

Lexington, MA • On-site, Remote

Full-time

Medical, Retirement

Re-posted 27 days ago

Job description

About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company's Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
About the Role...
As a Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products, you will be a core member on a team of data scientists building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will develop machine learning tools for patient data and drive their adoption across teams, under the guidance of epidemiology and biology program leads. Successful candidates will work with a diverse group of scientists and domain experts, in ways that cut across traditional industry boundaries in an innovative startup environment.
What You'll Do...
Your primary areas of responsibility will be:
  • As a senior member of our team, you will lead the development of machine learning (ML) methods and analyses of patient data with diverse stakeholders. For example, integrate clinical insights into supervised and unsupervised learning approaches and generate patient profiles.
  • Perform project-specific hands-on analysis and modeling of high-dimensional longitudinal real-world data, spanning electronic medical records (EHRs), clinical notes, sequencing data, and multi-omics, using modern data science tools in cloud environments.
  • Contribute to the design, implementation, and evaluation of innovative machine learning approaches for patient data to provide novel clinical insights.
  • Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we tackle don't have known solutions or established pathways.
  • Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces. There are a lot of problems to solve; you'll need to prioritize which of these are critical-path today from those that can wait.
  • Be a dynamic and active team member, championing shared coding standards, participating in code reviews, and providing regular updates on your work and input into the work of your colleagues.

What You Bring...
  • MS, MPH, or PhD in health data science, biostatistics, or a related quantitative field, with 5 years of experience developing and applying ML methods, including at least 3 years working directly with real-world patient data. Experience in a biopharmaceutical, epidemiological or biostatistical setting is a plus.
  • Extensive experience developing and implementing machine learning solutions in healthcare databases, including EHRs, administrative claims, and patient registries. Familiarity with U.S. and global medical coding ontologies and data models (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, OMOP, etc.). Confident working with highly sparse and high-dimensional data. Experience processing and mining clinical notes is a plus.
  • Extensive experience building, maintaining, and operationalizing ML pipelines, and translating model outputs into meaningful insights for diverse audiences.
  • Broad proficiency across core ML paradigms (e.g., supervised, unsupervised, semi-supervised) and experience with linear and logistic regression, classification and tree-based methods, clustering and dimensionality-reduction techniques, and deep learning architectures. Hands-on experience with representation learning and transformer-based and other sequence models is a plus.
  • Strong grounding in key components of the ML development lifecycle, including evaluation metrics, hyperparameter tuning, model selection, feature engineering and selection, model explainability, and MLOps best practices.
  • Mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow). Experience with AI-assisted coding tools (e.g., Claude Code) is a plus.
  • Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams.
  • Ability to lead and facilitate meetings and work collaboratively on multi-disciplinary project teams.
  • Exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time every time.
  • Enthusiastic about documentation-ensuring that all analyses are clear and reproducible with thorough documentation of key assumptions and decision points.

You May Also Bring...
  • Advanced knowledge of biostatistics approaches, including inferential and predictive modeling. Experience in causal approaches for observational studies, including propensity score methods, bias adjustment, and covariate selection and adjustment.
  • Familiarity with or exposure to traditional drug discovery and development processes and approaches.

Remote Salary Range
$165,000-$190,000 USD
CA Salary Range
$175,000-$220,000 USD
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currentlyhave permanent US work authorization without the need for immediate or future sponsorship.

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