Scientist II, Data Scientist, Bioprocess Digital Twin

Thermo Fisher

Quick summary

Work type
On-site
Location
Grand Island, NY
Salary
$72,600–$95,000 / yr
Posted
4 days ago
Nearby
4 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $84k
$55k most similar roles pay here $238k

This role pays less than 99% of similar roles. Most pay $126,800–$198,225 — the shaded band above. At the midpoint, this role pays about $84k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 12 open roles on FindRole.

Listed pay typically runs $130,000–$170,000 across 9 roles with salary data.

Most-posted roles

View all roles at Thermo Fisher

At a glance

TL;DR · Scientist II, Data Scientist, Bioprocess Digital Twin

Role Posting Log in to save

As a Scientist II in Data Sciences at Thermo Fisher Scientific, you will join a team of data scientists and engineers to develop advanced analytics and AI solutions for complex business challenges. Your day-to-day responsibilities include building predictive models and simulations for digital twin applications in bioprocesses, analyzing datasets with Python and scientific computing tools, and collaborating closely with cross-functional teams to deliver innovative solutions. Essential skills include strong quantitative abilities, proficiency in Python for data analysis and visualization, and a solid understanding of CHO cell culture and upstream bioprocessing concepts. This role offers opportunities to work on cutting-edge projects that support the company’s mission of enhancing global health and safety through scientific innovation.

Skills

Python Jupyter Notebook NumPy Pandas SciPy Matplotlib Scikit-learn TensorFlow Keras AWS Azure Google Cloud Platform Docker Kubernetes CI/CD Git GitHub PostgreSQL MySQL MongoDB SQLAlchemy Flask Django React Angular Vue.js Swagger RESTful API GraphQL

What you'll do

  • Support development of predictive modeling workflows for bioprocess digital twins.
  • Build and evaluate models for nutrient consumption, metabolite accumulation, and cell growth.
  • Analyze complex bioprocess datasets using Python and scientific computing tools.
  • Summarize modeling results and document assumptions for experimental planning.
  • Collaborate with cross-functional teams to deliver advanced analytics solutions.

What we're looking for

  • Master's degree in a relevant scientific field or equivalent industry experience.
  • Strong understanding of CHO cell culture and upstream bioprocessing concepts.
  • Hands-on Python experience for data analysis and visualization.
  • Experience with bioprocess datasets, including time-series data and assay results.
  • Familiarity with various modeling approaches such as mechanistic, statistical, and machine learning.
  • Excellent analytical skills and attention to scientific detail.
  • Ability to collaborate effectively in cross-functional teams.

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