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Disease Modeling Scientist Jobs (NOW HIRING)

The Pennsylvania State University

... Disease Modeling to support the mission of the Center for Infectious Disease Dynamics ( of the Huck ... The center is part of the Huck Institutes of the Life Sciences, which exists to strengthen ...

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Disease Modeling Scientist information

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How much do disease modeling scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for disease modeling 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 is a disease modeling scientist?

A Disease Modeling Scientist is a professional who uses mathematical, computational, and statistical models to understand how diseases spread, predict outbreaks, and assess potential interventions. They often work with large datasets, collaborate with epidemiologists, and use simulations to inform public health strategies. Their work is crucial for anticipating disease trends, optimizing resource allocation, and supporting policy decisions in healthcare and government settings.

What are the key skills and qualifications needed to thrive as a disease modeling scientist?

To thrive as a Disease Modeling Scientist, you need a strong background in epidemiology, mathematics, and statistics, typically supported by an advanced degree such as a Master's or PhD in a related field. Proficiency in programming languages like R or Python, experience with statistical modeling software, and familiarity with simulation tools such as MATLAB are commonly required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for developing accurate disease models that inform public health decisions and interventions.

What are some common challenges faced by disease modeling scientists when working with interdisciplinary teams?

Disease Modeling Scientists often collaborate with epidemiologists, clinicians, data scientists, and public health officials. A common challenge is effectively communicating complex modeling concepts and assumptions to team members from non-quantitative backgrounds. Additionally, integrating diverse data sources and aligning on research priorities can require strong teamwork and flexibility. Building consensus on model parameters and interpretation of results is essential for ensuring that modeling insights are actionable and trusted by stakeholders.

What is the difference between Disease Modeling Scientist vs Bioinformatics Analyst?

AspectDisease Modeling ScientistBioinformatics Analyst
Required CredentialsMaster's or PhD in computational biology, bioinformatics, or related fieldsBachelor's or Master's in bioinformatics, biology, or related areas
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsHealthcare institutions, research organizations, biotech companies
Industry UsageUsed in disease progression modeling, drug developmentUsed in data analysis, genetic sequencing, data management

While both roles involve working with biological data, Disease Modeling Scientists focus on creating computational models to understand disease mechanisms, whereas Bioinformatics Analysts primarily analyze biological data sets to extract insights. Both roles require strong analytical skills and familiarity with biological data, but Disease Modeling Scientists typically engage in predictive modeling and simulation, making their work more research-oriented in disease progression and treatment development.

What are popular job titles related to Disease Modeling Scientist jobs?

For Disease Modeling Scientist jobs, the most frequently searched job titles are:

Infographic showing various Disease Modeling Scientist job openings in the United States as of September 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Scientist, Cardiac Modeling

South San Francisco, CA • On-site

insitro
Biotechnology Research and Development • 51 - 200 employees
Learn more about insitroexternal

$156K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Key responsibilities

  • Own the development and application of iPSC-derived cardiomyocyte models to study cardiovascular disease.

  • Design, execute, and optimize experiments involving differentiation, assay workflows, and functional readouts of cardiomyocyte biology.

  • Partner with ML and computational teams to design experiments for data generation and interpret results in the context of disease mechanisms.

Job description

The Opportunity
insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Humanâ„¢ platform identifies novel, high-impact genetic intervention points, which our TherMLâ„¢ platform translates into therapeutics-whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point.
We are seeking a Senior Scientist to join our cardiac disease biology team. In this role, you will own the development and application of iPSC-derived cardiomyocyte (iPSC-CM) models to study the genetic and molecular underpinnings of cardiovascular disease - working at the intersection of human stem cell biology, cardiac physiology, and scalable experimental platforms to generate the datasets that fuel our ML-driven drug discovery efforts. You will design and execute experiments, optimize differentiation and assay workflows, and partner closely with ML scientists, computational biologists, and chemists to connect cellular phenotypes to disease mechanisms and therapeutic targets. Based in South San Francisco, this position reports directly to Vice President, Cardiometabolic Disease - Translational Genetics and requires you to be onsite at our South San Francisco office 5 days per week.
Responsibilities
iPSC-CM Platform & Model Development
  • Differentiation & QC: Lead the generation, characterization, and maintenance of iPSC lines and their differentiation into cardiomyocytes, with rigorous quality control at each stage of the pipeline
  • 2D & 3D Formats: Design, implement, and optimize iPSC-CM assays in both 2D monolayer and 3D/engineered heart tissue (EHT) formats, with a focus on scalability and data quality
  • Genetic Disease Models: Build and apply isogenic iPSC-CM disease models - including CRISPR-edited lines carrying disease-associated variants - to study cardiovascular pathophysiology

Functional Assays & Disease Modeling
  • Functional Readouts: Develop readouts of cardiomyocyte biology relevant to disease -contractility, electrophysiology, calcium handling, stress responses - in formats compatible with high-throughput data acquisition
  • Rigor & Reproducibility: Drive documentation, SOPs, and data standards that ensure reproducible, publication-quality results across the cardiac biology platform

ML & Cross-functional Partnership
  • Experiment Design for ML: Partner with ML and computational biology teams to design experiments that generate high-quality training data and to interpret model outputs in biological context
  • Target Identification: Contribute to target identification and validation efforts by connecting cellular phenotypes to human genetic evidence

Scientific Leadership
  • Mentorship: Mentor junior scientists and technicians, and contribute to a collaborative, scientifically rigorous team culture

About You
Experience & Qualifications
  • Advanced Degree: Ph.D. in cell biology, biomedical engineering, cardiac physiology, or a related field, with at least 3 years of industry experience
  • iPSC-CM Expertise: Deep hands-on experience in iPSC culture, cardiac directed differentiation, and iPSC-CM characterization across both 2D and 3D/EHT platforms
  • Genetic Disease Modeling: Track record building and applying genetic iPSC-CM disease models - patient-derived lines, CRISPR-edited isogenic pairs - to study cardiovascular mechanisms
  • Cardiovascular Biology: Strong foundational knowledge of cardiomyocyte biology and cardiovascular disease
  • High-Content Imaging: Experience with high-content imaging and/or automated microscopy platforms, including image analysis pipelines
  • Human Genetics: Familiarity with GWAS and human genetic evidence, and experience using these data to prioritize disease mechanisms or therapeutic targets
  • Scientific Communication: Track record of executing rigorous experiments and communicating findings clearly in publications, presentations, or internal reports

Core Competencies
  • ML Curiosity: You're enthusiastic about working alongside ML scientists and understand how experimental design shapes what a model can learn
  • Builder Mentality: You thrive building systems from the ground up and bring the same rigor to a new workflow as to a published experiment
  • Cross-functional Collaborator: You work fluidly across biology, computation, and chemistry, and communicate clearly across disciplines
  • Independent & Adaptive: You drive projects forward independently in a fast-paced environment while staying aligned with team priorities

Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $156,000 - $166,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
  • 401(k) plan with employer matching for contributions
  • Excellent medical, dental, and vision coverage as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
  • Quarterly budget for books and online courses for self-development
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
  • Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.
#LI-Onsite
About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.
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About Insitro

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

South San Francisco, CA, US

Year founded

2018

Social media

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