Seasonal Chemistry Python Jobs (NOW HIRING)

Position Information

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In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants.

Qualifications

PhD in biomedical engineering, chemical engineering, chemistry, computer science, or related fields. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry.

PhD level is required because creative model design and training is inherently part of the development process.
Familiarity with materials (synthesis, functionalization, and characterization), macromolecules, and proteins is preferred. Evidence of a strong publication track record and working well in teams.

Familiarity with nanomaterials (synthesis, functionalization, and characterization) and enzymes is preferred. Evidence of a strong publication track record and working well in teams.

If experimental, UV-Vis plate reader, dynamic light scattering (DLS), chromatography, and other basic equipment. Familiarity with SAXS/SANS is also ideal.

Expect to spend several hours per day in the lab, which involves standing for long periods.

Posting Details

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Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

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