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Mathematical Modeling Biology Matlab Jobs (NOW HIRING)

Postdoctoral Researcher

Swarthmore, PA · On-site

$65K - $71K/yr

Demonstrated working experience with standard cellular and molecular biology work. * Demonstrated mathematical modeling skills. * Demonstrated coding experience in MATLAB or Python (or similar ...

Postdoctoral Researcher

Swarthmore, PA · On-site

$65K - $71K/yr

Demonstrated working experience with standard cellular and molecular biology work. * Demonstrated mathematical modeling skills. * Demonstrated coding experience in MATLAB or Python (or similar ...

... in MATLAB and Simulink (required) • Strong mathematical modeling and numerical analysis skills • Experience in parameter identification and curve fitting • Solid understanding of ...

Research Technician

Boston, MA · On-site

$20.50 - $28.30/hr

Record results and assist with data analysis, including mathematical modeling and/or machine ... Python or matlab programming and machine learning modeling * Recording test results and analyze ...

$190K/yr

... Mathematical Biology, Biostatistics / Statistics, Computational Biology / Systems Biology ... Cross-Team Coordination, Data Modeling, Dose Response Modeling, Drug Discovery Process, MATLAB ...

$190K/yr

... Mathematical Biology, Biostatistics / Statistics, Computational Biology / Systems Biology ... Cross-Team Coordination, Data Modeling, Dose Response Modeling, Drug Discovery Process, MATLAB ...

Strong background in mathematical modeling, numerical methods, and computational tools (Python, MATLAB, R). * Bachelor's degree in Applied Mathematics, Mathematics, Physics, or related field is ...

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Mathematical Modeling Biology Matlab information

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How much do mathematical modeling biology matlab jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for mathematical modeling biology matlab in the United States is $26.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $39.66 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in mathematical modeling for biology using MATLAB?

One common challenge in this role is translating complex biological processes into accurate mathematical models while ensuring that the assumptions made reflect real biological behavior. Additionally, handling large and noisy biological datasets in MATLAB can require advanced data preprocessing and validation skills. Collaboration with experimental biologists is often necessary to validate model predictions and obtain relevant data, making strong communication skills important. Staying updated with the latest modeling techniques and MATLAB tools is also critical to address evolving research questions.

What is the difference between Mathematical Modeling Biology Matlab vs Computational Biologist?

AspectMathematical Modeling Biology MatlabComputational Biologist
Required CredentialsDegree in Mathematics, Biology, or related fields; proficiency in MatlabDegree in Biology, Bioinformatics, or related fields; proficiency in programming and data analysis
Work EnvironmentResearch labs, academic institutions, biotech companiesResearch institutions, biotech firms, healthcare organizations
Industry UsageDeveloping biological models, simulations, data analysis using MatlabAnalyzing biological data, developing algorithms, integrating computational tools

Mathematical Modeling Biology Matlab focuses on creating biological models and simulations primarily using Matlab, while Computational Biologists apply computational techniques and programming skills to analyze biological data. Both roles often overlap but differ in their primary focus and tools used.

What is a Mathematical Modeling Biology Matlab professional?

A Mathematical Modeling Biology Matlab professional uses mathematical equations and computational tools, especially MATLAB, to simulate and analyze biological systems. They create models that help researchers understand complex biological processes, such as cell signaling, population dynamics, or disease progression. These professionals often collaborate with biologists and data scientists to translate experimental data into mathematical frameworks, enabling predictions and hypothesis testing. Their work is essential in fields like systems biology, pharmacology, and ecology, where understanding intricate biological interactions is crucial.

What are the key skills and qualifications needed to thrive as a Mathematical Modeling Biologist using MATLAB, and why are they important?

To thrive as a Mathematical Modeling Biologist using MATLAB, you need a strong background in biology, mathematics, and computational modeling, often supported by an advanced degree in a related field. Proficiency in MATLAB, statistical analysis software, and familiarity with systems biology tools are typically required. Strong problem-solving, analytical thinking, and clear communication skills help in interpreting complex data and collaborating with interdisciplinary teams. These skills are vital for developing accurate biological models, driving research insights, and facilitating effective teamwork in scientific environments.
Data Scientist, Medical Device & Mathematical Modeling (JP12081)

Data Scientist, Medical Device & Mathematical Modeling (JP12081)

3 Key Consulting

Thousand Oaks, CA

$52 - $56/hr

Other

Posted 19 days ago


Job description

Job Title: Data Scientist, Medical Device & Mathematical Modeling (JP12081)
Location: Thousand Oaks, CA. 91320
Business Unit: Combination Products Operations - Digital & Data Strategy
Employment Type: Contract
Duration: 1+ years (with possible extensions)
Rate: $52 - $56/hr
Posting Date: 1/5/2024.
Notes: Only qualified candidates need apply. Onsite 3-4x / week *Must be OK to be onsite weekly and must be local to Thousand Oaks, CA.
3 Key Consulting is hiring! We are recruiting a Data Engineer for a consulting engagement with our direct client, a leading global biotechnology company.
Job Description:
The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way our client manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.
Top Must Have Skill Sets:
  • Simulation, modeling, and data analysis experience
  • Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
  • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
  • Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations

Day to Day Responsibilities:
The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.
This may include, but is not limited to, the following:
  • Applying engineering principles to develop in-silico models for combination products
  • Developing, enhancing, automating, and managing analytics and data-driven models
  • Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
  • Demonstrating modeling and visualization approaches as part of proof-of-concept projects
  • Transforming ambiguous business and technical questions into measurable and impactful projects
  • Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.

Basic Qualifications:
  • Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience OR High school diploma / GED and 12 years of experience
  • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
  • Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
  • Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations
  • Familiar with utilizing GitLab for version control, code collaboration, and project management
  • Data analysis expertise and statistical or mechanistic modeling experience
  • Experience in deriving technical recommendations and specifications from the analysis of measured data
  • Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls
  • Understanding business needs and developing novel yet practical solutions to meet those needs
  • Experience with combination products and device regulatory requirements and medical device development and engineering

Preferred Qualifications:
  • Passion for proactively identifying opportunities through creative modeling and data analysis
  • Transform ambiguous business and technical questions into measurable and impactful projects
  • Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning)
  • Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment
  • Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
  • Ability to manage multiple competing priorities simultaneously
  • Ability to work in highly collaborative, cross-functional environments

Why is the Position Open?
Supplement additional workload on team.
Red Flags:
  • Not meeting degree and experience requirements (not meeting basic qualification)
  • No modeling and simulation experience
  • No engineering background

Interview Process:
One phone and one virtual panel interview.
We invite qualified candidates to sendyour resume toresumes@3keyconsulting.com. Ifyou decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our websitewww.3keyconsulting.com/careers. You are also welcome to sharethis opportunity withanyone you think might be interested in applying for this role.