Scientist III, Bioinformatics

at  Thermo Fisher Scientific

JOB DESCRIPTION

Thermo Fisher Scientific Inc. is a global leader in scientific solutions, generating over $25 billion in annual revenue. Our Mission is to empower our customers in making the world a healthier, cleaner, and safer place. Whether our customers are advancing life sciences research, addressing intricate analytical problems, enhancing patient diagnostics and treatments, or optimizing efficiency in their labs, we are dedicated to assisting them.

LOCATION / DIVISION

Grand Island, NY / Bio Production Division
How will you make an impact?
We are seeking to hire a highly motivated Data Scientist with hands-on experience computational scientist/informaticist. The successful candidate will join a multifunctional team and will help in the development of new cell culture products to support the commercial production of novel biologic therapeutics.

What will you do?

• Develop mechanistic and machine learning models (hybrid models) and implement a knowledge base to provide actionable insights into cell culture media development and bioproduction process optimization.
• Design and develop a database for the cell culture medium formulation to streamline data analysis.
• Provide bioinformatics support and handle omics data analysis, documentation, and report preparation for scientific services and research projects.
• Under minimal direction, the successful candidate will be expected to perform data analysis in experimental data, interpret analysis results, and communicate and present findings in team meetings.
• Develop algorithms and computational models to solve biological problems related to bioproduction processes.

How will you get here?

EDUCATION

• MS in Computational Biology, Bioinformatics, Data Science, or related field (PhD is preferred). Equivalent experience in the field will also be considered.

EXPERIENCE

• At least three (3) years of related experience
• Experience in mechanistic biological models, stoichiometric modeling, flux balance analysis (FBA)
• Experience with pathway enrichment, network analysis and multi-omics (proteomics and metabolomics) integration.
• Experience in building machine learning and statistical models.
• Proficiency in programming languages such as Python or R
• Familiar with relational database (e.g. SQL, Oracle) and graph database (e.g. Neo4j)
• Builds dashboards for data visualization (e.g. RShiny, Tableau, Power BI, Python Dash)

KNOWLEDGE, SKILLS, ABILITIES

• Knowledge in molecular and cellular biology.
• Strong understanding of statistical inference and machine learning techniques.
• Present data for review, group discussions, and team meetings
• Multi-task effectively and prioritize multiple projects with guidance.
• Proven track record that could work efficiently both independently and as part of a team.
• Excellent verbal and written communication skills.
• Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner.
• Ability to work in a cross functional and interdisciplinary team.

PREFERRED QUALIFICATIONS

• Experience working in cell culture media development.
• Statistical Design of Experiment (DOE) experience.
• Experience working in AWS data lake platform.

• Develop mechanistic and machine learning models (hybrid models) and implement a knowledge base to provide actionable insights into cell culture media development and bioproduction process optimization.
• Design and develop a database for the cell culture medium formulation to streamline data analysis.
• Provide bioinformatics support and handle omics data analysis, documentation, and report preparation for scientific services and research projects.
• Under minimal direction, the successful candidate will be expected to perform data analysis in experimental data, interpret analysis results, and communicate and present findings in team meetings.
• Develop algorithms and computational models to solve biological problems related to bioproduction processes